id	sid	tid	token	lemma	pos
work_ope6navdjndnnebvcd4hv3hj44	1	1	A	a	DT
work_ope6navdjndnnebvcd4hv3hj44	1	2	comparative	comparative	JJ
work_ope6navdjndnnebvcd4hv3hj44	1	3	study	study	NN
work_ope6navdjndnnebvcd4hv3hj44	1	4	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	1	5	approaches	approach	NNS
work_ope6navdjndnnebvcd4hv3hj44	1	6	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	1	7	forecast	forecast	VB
work_ope6navdjndnnebvcd4hv3hj44	1	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	1	9	correct	correct	JJ
work_ope6navdjndnnebvcd4hv3hj44	1	10	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	1	11	actions	action	NNS
work_ope6navdjndnnebvcd4hv3hj44	1	12	Received	receive	VBD
work_ope6navdjndnnebvcd4hv3hj44	1	13	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	1	14	7	7	CD
work_ope6navdjndnnebvcd4hv3hj44	1	15	November	November	NNP
work_ope6navdjndnnebvcd4hv3hj44	1	16	2015	2015	CD
work_ope6navdjndnnebvcd4hv3hj44	1	17	Revised	revise	VBN
work_ope6navdjndnnebvcd4hv3hj44	1	18	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	1	19	7	7	CD
work_ope6navdjndnnebvcd4hv3hj44	1	20	April	April	NNP
work_ope6navdjndnnebvcd4hv3hj44	1	21	2016	2016	CD
work_ope6navdjndnnebvcd4hv3hj44	1	22	Accepted	accept	VBN
work_ope6navdjndnnebvcd4hv3hj44	1	23	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	1	24	8	8	CD
work_ope6navdjndnnebvcd4hv3hj44	1	25	July	July	NNP
work_ope6navdjndnnebvcd4hv3hj44	1	26	2016	2016	CD
work_ope6navdjndnnebvcd4hv3hj44	1	27	DO	DO	NNP
work_ope6navdjndnnebvcd4hv3hj44	1	28	I	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	1	29	10.1111	10.1111	CD
work_ope6navdjndnnebvcd4hv3hj44	1	30	/	/	SYM
work_ope6navdjndnnebvcd4hv3hj44	1	31	exsy.12169	exsy.12169	NN
work_ope6navdjndnnebvcd4hv3hj44	1	32	A	a	NN
work_ope6navdjndnnebvcd4hv3hj44	1	33	R	r	NN
work_ope6navdjndnnebvcd4hv3hj44	1	34	T	t	NN
work_ope6navdjndnnebvcd4hv3hj44	1	35	I	i	NN
work_ope6navdjndnnebvcd4hv3hj44	1	36	C	c	NN
work_ope6navdjndnnebvcd4hv3hj44	1	37	L	l	NN
work_ope6navdjndnnebvcd4hv3hj44	1	38	E	e	NN
work_ope6navdjndnnebvcd4hv3hj44	1	39	A	a	DT
work_ope6navdjndnnebvcd4hv3hj44	1	40	comparative	comparative	JJ
work_ope6navdjndnnebvcd4hv3hj44	1	41	study	study	NN
work_ope6navdjndnnebvcd4hv3hj44	1	42	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	1	43	approaches	approach	NNS
work_ope6navdjndnnebvcd4hv3hj44	1	44	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	1	45	forecast	forecast	VB
work_ope6navdjndnnebvcd4hv3hj44	1	46	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	1	47	correct	correct	JJ
work_ope6navdjndnnebvcd4hv3hj44	1	48	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	1	49	actions	action	NNS
work_ope6navdjndnnebvcd4hv3hj44	1	50	Luís	Luís	NNP
work_ope6navdjndnnebvcd4hv3hj44	1	51	Baía1,2	baía1,2	NN
work_ope6navdjndnnebvcd4hv3hj44	1	52	|	|	NNP
work_ope6navdjndnnebvcd4hv3hj44	1	53	Luís	luís	NN
work_ope6navdjndnnebvcd4hv3hj44	1	54	Torgo1,2	torgo1,2	CD
work_ope6navdjndnnebvcd4hv3hj44	1	55	1	1	CD
work_ope6navdjndnnebvcd4hv3hj44	1	56	LIAAD	LIAAD	NNP
work_ope6navdjndnnebvcd4hv3hj44	1	57	‐	‐	''
work_ope6navdjndnnebvcd4hv3hj44	1	58	INESC	INESC	NNP
work_ope6navdjndnnebvcd4hv3hj44	1	59	TEC	TEC	NNP
work_ope6navdjndnnebvcd4hv3hj44	1	60	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	1	61	Porto	Porto	NNP
work_ope6navdjndnnebvcd4hv3hj44	1	62	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	1	63	Portugal	Portugal	NNP
work_ope6navdjndnnebvcd4hv3hj44	1	64	2	2	CD
work_ope6navdjndnnebvcd4hv3hj44	1	65	Departamento	Departamento	NNP
work_ope6navdjndnnebvcd4hv3hj44	1	66	de	de	IN
work_ope6navdjndnnebvcd4hv3hj44	1	67	Ciência	Ciência	NNP
work_ope6navdjndnnebvcd4hv3hj44	1	68	de	de	IN
work_ope6navdjndnnebvcd4hv3hj44	1	69	Computadores‐	Computadores‐	NNP
work_ope6navdjndnnebvcd4hv3hj44	1	70	Faculdade	Faculdade	NNP
work_ope6navdjndnnebvcd4hv3hj44	1	71	de	de	FW
work_ope6navdjndnnebvcd4hv3hj44	1	72	Ciências	Ciências	NNP
work_ope6navdjndnnebvcd4hv3hj44	1	73	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	1	74	Universidade	Universidade	NNP
work_ope6navdjndnnebvcd4hv3hj44	1	75	do	do	VB
work_ope6navdjndnnebvcd4hv3hj44	1	76	Porto	Porto	NNP
work_ope6navdjndnnebvcd4hv3hj44	1	77	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	1	78	Porto	Porto	NNP
work_ope6navdjndnnebvcd4hv3hj44	1	79	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	1	80	Portugal	Portugal	NNP
work_ope6navdjndnnebvcd4hv3hj44	1	81	Correspondence	Correspondence	NNP
work_ope6navdjndnnebvcd4hv3hj44	1	82	Luís	Luís	NNP
work_ope6navdjndnnebvcd4hv3hj44	1	83	Baía	Baía	NNP
work_ope6navdjndnnebvcd4hv3hj44	1	84	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	1	85	LIAAD‐INESC	LIAAD‐INESC	NNP
work_ope6navdjndnnebvcd4hv3hj44	1	86	TEC	TEC	NNP
work_ope6navdjndnnebvcd4hv3hj44	1	87	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	1	88	Porto	Porto	NNP
work_ope6navdjndnnebvcd4hv3hj44	1	89	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	1	90	Portugal	Portugal	NNP
work_ope6navdjndnnebvcd4hv3hj44	1	91	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	2	1	Email	email	NN
work_ope6navdjndnnebvcd4hv3hj44	2	2	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	2	3	luisbaia_1992@hotmail.com	luisbaia_1992@hotmail.com	ADD
work_ope6navdjndnnebvcd4hv3hj44	2	4	Expert	Expert	NNP
work_ope6navdjndnnebvcd4hv3hj44	2	5	Systems	Systems	NNPS
work_ope6navdjndnnebvcd4hv3hj44	2	6	2017;34	2017;34	CD
work_ope6navdjndnnebvcd4hv3hj44	2	7	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	2	8	e12169	e12169	NNS
work_ope6navdjndnnebvcd4hv3hj44	2	9	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	3	1	w	w	NNP
work_ope6navdjndnnebvcd4hv3hj44	3	2	https://doi.org/10.1111/exsy.12169	https://doi.org/10.1111/exsy.12169	NNP
work_ope6navdjndnnebvcd4hv3hj44	3	3	Abstract	Abstract	NNP
work_ope6navdjndnnebvcd4hv3hj44	3	4	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	3	5	paper	paper	NN
work_ope6navdjndnnebvcd4hv3hj44	3	6	addresses	address	VBZ
work_ope6navdjndnnebvcd4hv3hj44	3	7	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	3	8	problem	problem	NN
work_ope6navdjndnnebvcd4hv3hj44	3	9	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	3	10	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	3	11	making	making	NN
work_ope6navdjndnnebvcd4hv3hj44	3	12	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	3	13	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	3	14	context	context	NN
work_ope6navdjndnnebvcd4hv3hj44	3	15	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	3	16	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	3	17	markets	market	NNS
work_ope6navdjndnnebvcd4hv3hj44	3	18	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	3	19	more	more	RBR
work_ope6navdjndnnebvcd4hv3hj44	3	20	specifically	specifically	RB
work_ope6navdjndnnebvcd4hv3hj44	3	21	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	3	22	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	3	23	problem	problem	NN
work_ope6navdjndnnebvcd4hv3hj44	3	24	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	3	25	forecasting	forecast	VBG
work_ope6navdjndnnebvcd4hv3hj44	3	26	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	3	27	correct	correct	JJ
work_ope6navdjndnnebvcd4hv3hj44	3	28	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	3	29	action	action	NN
work_ope6navdjndnnebvcd4hv3hj44	3	30	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	3	31	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	3	32	certain	certain	JJ
work_ope6navdjndnnebvcd4hv3hj44	3	33	future	future	JJ
work_ope6navdjndnnebvcd4hv3hj44	3	34	horizon	horizon	NN
work_ope6navdjndnnebvcd4hv3hj44	3	35	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	4	1	We	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	4	2	study	study	VBP
work_ope6navdjndnnebvcd4hv3hj44	4	3	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	4	4	compare	compare	VBP
work_ope6navdjndnnebvcd4hv3hj44	4	5	two	two	CD
work_ope6navdjndnnebvcd4hv3hj44	4	6	alternative	alternative	JJ
work_ope6navdjndnnebvcd4hv3hj44	4	7	ways	way	NNS
work_ope6navdjndnnebvcd4hv3hj44	4	8	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	4	9	addressing	address	VBG
work_ope6navdjndnnebvcd4hv3hj44	4	10	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	4	11	forecasting	forecasting	NN
work_ope6navdjndnnebvcd4hv3hj44	4	12	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	4	13	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	4	14	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	4	15	a	a	LS
work_ope6navdjndnnebvcd4hv3hj44	4	16	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	4	17	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	4	18	standard	standard	JJ
work_ope6navdjndnnebvcd4hv3hj44	4	19	numeric	numeric	JJ
work_ope6navdjndnnebvcd4hv3hj44	4	20	prediction	prediction	NN
work_ope6navdjndnnebvcd4hv3hj44	4	21	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	4	22	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	4	23	forecast	forecast	VB
work_ope6navdjndnnebvcd4hv3hj44	4	24	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	4	25	variation	variation	NN
work_ope6navdjndnnebvcd4hv3hj44	4	26	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	4	27	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	4	28	prices	price	NNS
work_ope6navdjndnnebvcd4hv3hj44	4	29	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	4	30	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	4	31	target	target	NN
work_ope6navdjndnnebvcd4hv3hj44	4	32	asset	asset	NN
work_ope6navdjndnnebvcd4hv3hj44	4	33	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	4	34	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	4	35	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	4	36	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	4	37	second	second	JJ
work_ope6navdjndnnebvcd4hv3hj44	4	38	stage	stage	NN
work_ope6navdjndnnebvcd4hv3hj44	4	39	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	4	40	transform	transform	VB
work_ope6navdjndnnebvcd4hv3hj44	4	41	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	4	42	numeric	numeric	JJ
work_ope6navdjndnnebvcd4hv3hj44	4	43	predictions	prediction	NNS
work_ope6navdjndnnebvcd4hv3hj44	4	44	into	into	IN
work_ope6navdjndnnebvcd4hv3hj44	4	45	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	4	46	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	4	47	according	accord	VBG
work_ope6navdjndnnebvcd4hv3hj44	4	48	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	4	49	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	4	50	predefined	predefine	VBN
work_ope6navdjndnnebvcd4hv3hj44	4	51	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	4	52	rules	rule	NNS
work_ope6navdjndnnebvcd4hv3hj44	4	53	;	;	,
work_ope6navdjndnnebvcd4hv3hj44	4	54	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	4	55	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	4	56	b	b	LS
work_ope6navdjndnnebvcd4hv3hj44	4	57	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	4	58	use	use	NN
work_ope6navdjndnnebvcd4hv3hj44	4	59	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	4	60	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	4	61	directly	directly	RB
work_ope6navdjndnnebvcd4hv3hj44	4	62	forecast	forecast	VBP
work_ope6navdjndnnebvcd4hv3hj44	4	63	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	4	64	right	right	JJ
work_ope6navdjndnnebvcd4hv3hj44	4	65	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	4	66	thus	thus	RB
work_ope6navdjndnnebvcd4hv3hj44	4	67	ignoring	ignore	VBG
work_ope6navdjndnnebvcd4hv3hj44	4	68	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	4	69	intermediate	intermediate	JJ
work_ope6navdjndnnebvcd4hv3hj44	4	70	numeric	numeric	JJ
work_ope6navdjndnnebvcd4hv3hj44	4	71	forecasting	forecasting	NN
work_ope6navdjndnnebvcd4hv3hj44	4	72	task	task	NN
work_ope6navdjndnnebvcd4hv3hj44	4	73	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	5	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	5	2	objective	objective	NN
work_ope6navdjndnnebvcd4hv3hj44	5	3	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	5	4	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	5	5	study	study	NN
work_ope6navdjndnnebvcd4hv3hj44	5	6	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	5	7	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	5	8	determine	determine	VB
work_ope6navdjndnnebvcd4hv3hj44	5	9	if	if	IN
work_ope6navdjndnnebvcd4hv3hj44	5	10	both	both	DT
work_ope6navdjndnnebvcd4hv3hj44	5	11	strategies	strategy	NNS
work_ope6navdjndnnebvcd4hv3hj44	5	12	provide	provide	VBP
work_ope6navdjndnnebvcd4hv3hj44	5	13	identical	identical	JJ
work_ope6navdjndnnebvcd4hv3hj44	5	14	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	5	15	or	or	CC
work_ope6navdjndnnebvcd4hv3hj44	5	16	if	if	IN
work_ope6navdjndnnebvcd4hv3hj44	5	17	there	there	EX
work_ope6navdjndnnebvcd4hv3hj44	5	18	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	5	19	any	any	DT
work_ope6navdjndnnebvcd4hv3hj44	5	20	particular	particular	JJ
work_ope6navdjndnnebvcd4hv3hj44	5	21	advantage	advantage	NN
work_ope6navdjndnnebvcd4hv3hj44	5	22	worth	worth	JJ
work_ope6navdjndnnebvcd4hv3hj44	5	23	being	be	VBG
work_ope6navdjndnnebvcd4hv3hj44	5	24	considered	consider	VBN
work_ope6navdjndnnebvcd4hv3hj44	5	25	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	5	26	may	may	MD
work_ope6navdjndnnebvcd4hv3hj44	5	27	distinguish	distinguish	VB
work_ope6navdjndnnebvcd4hv3hj44	5	28	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	5	29	alternative	alternative	NN
work_ope6navdjndnnebvcd4hv3hj44	5	30	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	5	31	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	5	32	context	context	NN
work_ope6navdjndnnebvcd4hv3hj44	5	33	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	5	34	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	5	35	markets	market	NNS
work_ope6navdjndnnebvcd4hv3hj44	5	36	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	6	1	KEYWORDS	KEYWORDS	NNP
work_ope6navdjndnnebvcd4hv3hj44	6	2	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	6	3	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	6	4	extensive	extensive	JJ
work_ope6navdjndnnebvcd4hv3hj44	6	5	experimental	experimental	JJ
work_ope6navdjndnnebvcd4hv3hj44	6	6	comparison	comparison	NN
work_ope6navdjndnnebvcd4hv3hj44	6	7	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	6	8	forecast	forecast	NN
work_ope6navdjndnnebvcd4hv3hj44	6	9	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	6	10	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	6	11	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	6	12	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	6	13	actions	action	NNS
work_ope6navdjndnnebvcd4hv3hj44	6	14	1	1	CD
work_ope6navdjndnnebvcd4hv3hj44	6	15	|	|	CD
work_ope6navdjndnnebvcd4hv3hj44	6	16	INTRODUCTION	INTRODUCTION	VBD
work_ope6navdjndnnebvcd4hv3hj44	6	17	Many	many	JJ
work_ope6navdjndnnebvcd4hv3hj44	6	18	real‐world	real‐world	NN
work_ope6navdjndnnebvcd4hv3hj44	6	19	applications	application	NNS
work_ope6navdjndnnebvcd4hv3hj44	6	20	require	require	VBP
work_ope6navdjndnnebvcd4hv3hj44	6	21	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	6	22	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	6	23	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	6	24	made	make	VBN
work_ope6navdjndnnebvcd4hv3hj44	6	25	based	base	VBN
work_ope6navdjndnnebvcd4hv3hj44	6	26	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	6	27	forecasting	forecast	VBG
work_ope6navdjndnnebvcd4hv3hj44	6	28	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	6	29	numeric	numeric	JJ
work_ope6navdjndnnebvcd4hv3hj44	6	30	quantity	quantity	NN
work_ope6navdjndnnebvcd4hv3hj44	6	31	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	7	1	Sales	sale	NNS
work_ope6navdjndnnebvcd4hv3hj44	7	2	forecasting	forecasting	NN
work_ope6navdjndnnebvcd4hv3hj44	7	3	may	may	MD
work_ope6navdjndnnebvcd4hv3hj44	7	4	lead	lead	VB
work_ope6navdjndnnebvcd4hv3hj44	7	5	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	7	6	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	7	7	important	important	JJ
work_ope6navdjndnnebvcd4hv3hj44	7	8	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	7	9	concerning	concern	VBG
work_ope6navdjndnnebvcd4hv3hj44	7	10	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	7	11	production	production	NN
work_ope6navdjndnnebvcd4hv3hj44	7	12	process	process	NN
work_ope6navdjndnnebvcd4hv3hj44	7	13	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	8	1	Asset	asset	NN
work_ope6navdjndnnebvcd4hv3hj44	8	2	price	price	NN
work_ope6navdjndnnebvcd4hv3hj44	8	3	forecasting	forecasting	NN
work_ope6navdjndnnebvcd4hv3hj44	8	4	may	may	MD
work_ope6navdjndnnebvcd4hv3hj44	8	5	lead	lead	VB
work_ope6navdjndnnebvcd4hv3hj44	8	6	investors	investor	NNS
work_ope6navdjndnnebvcd4hv3hj44	8	7	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	8	8	buy	buy	VB
work_ope6navdjndnnebvcd4hv3hj44	8	9	or	or	CC
work_ope6navdjndnnebvcd4hv3hj44	8	10	sell	sell	VB
work_ope6navdjndnnebvcd4hv3hj44	8	11	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	8	12	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	8	13	product	product	NN
work_ope6navdjndnnebvcd4hv3hj44	8	14	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	9	1	Forecasting	forecast	VBG
work_ope6navdjndnnebvcd4hv3hj44	9	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	9	3	future	future	JJ
work_ope6navdjndnnebvcd4hv3hj44	9	4	evolution	evolution	NN
work_ope6navdjndnnebvcd4hv3hj44	9	5	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	9	6	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	9	7	indicator	indicator	NN
work_ope6navdjndnnebvcd4hv3hj44	9	8	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	9	9	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	9	10	patient	patient	NN
work_ope6navdjndnnebvcd4hv3hj44	9	11	may	may	MD
work_ope6navdjndnnebvcd4hv3hj44	9	12	lead	lead	VB
work_ope6navdjndnnebvcd4hv3hj44	9	13	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	9	14	medical	medical	JJ
work_ope6navdjndnnebvcd4hv3hj44	9	15	doctor	doctor	NN
work_ope6navdjndnnebvcd4hv3hj44	9	16	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	9	17	prescribe	prescribe	VB
work_ope6navdjndnnebvcd4hv3hj44	9	18	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	9	19	important	important	JJ
work_ope6navdjndnnebvcd4hv3hj44	9	20	treatments	treatment	NNS
work_ope6navdjndnnebvcd4hv3hj44	9	21	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	10	1	These	these	DT
work_ope6navdjndnnebvcd4hv3hj44	10	2	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	10	3	just	just	RB
work_ope6navdjndnnebvcd4hv3hj44	10	4	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	10	5	few	few	JJ
work_ope6navdjndnnebvcd4hv3hj44	10	6	examples	example	NNS
work_ope6navdjndnnebvcd4hv3hj44	10	7	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	10	8	concrete	concrete	JJ
work_ope6navdjndnnebvcd4hv3hj44	10	9	applications	application	NNS
work_ope6navdjndnnebvcd4hv3hj44	10	10	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	10	11	fit	fit	VBP
work_ope6navdjndnnebvcd4hv3hj44	10	12	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	10	13	general	general	JJ
work_ope6navdjndnnebvcd4hv3hj44	10	14	setting	setting	NN
work_ope6navdjndnnebvcd4hv3hj44	10	15	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	10	16	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	10	17	based	base	VBN
work_ope6navdjndnnebvcd4hv3hj44	10	18	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	10	19	numeric	numeric	JJ
work_ope6navdjndnnebvcd4hv3hj44	10	20	forecasts	forecast	NNS
work_ope6navdjndnnebvcd4hv3hj44	10	21	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	10	22	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	10	23	variable	variable	NN
work_ope6navdjndnnebvcd4hv3hj44	10	24	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	11	1	Frequently	frequently	RB
work_ope6navdjndnnebvcd4hv3hj44	11	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	11	3	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	11	4	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	11	5	process	process	NN
work_ope6navdjndnnebvcd4hv3hj44	11	6	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	11	7	based	base	VBN
work_ope6navdjndnnebvcd4hv3hj44	11	8	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	11	9	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	11	10	predefined	predefine	VBN
work_ope6navdjndnnebvcd4hv3hj44	11	11	protocol	protocol	NN
work_ope6navdjndnnebvcd4hv3hj44	11	12	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	11	13	associates	associate	VBZ
work_ope6navdjndnnebvcd4hv3hj44	11	14	inter-	inter-	NNP
work_ope6navdjndnnebvcd4hv3hj44	11	15	vals	val	NNS
work_ope6navdjndnnebvcd4hv3hj44	11	16	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	11	17	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	11	18	range	range	NN
work_ope6navdjndnnebvcd4hv3hj44	11	19	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	11	20	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	11	21	numeric	numeric	JJ
work_ope6navdjndnnebvcd4hv3hj44	11	22	variable	variable	NN
work_ope6navdjndnnebvcd4hv3hj44	11	23	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	11	24	concrete	concrete	JJ
work_ope6navdjndnnebvcd4hv3hj44	11	25	actions	action	NNS
work_ope6navdjndnnebvcd4hv3hj44	11	26	/	/	SYM
work_ope6navdjndnnebvcd4hv3hj44	11	27	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	11	28	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	12	1	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	12	2	means	mean	VBZ
work_ope6navdjndnnebvcd4hv3hj44	12	3	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	12	4	once	once	IN
work_ope6navdjndnnebvcd4hv3hj44	12	5	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	12	6	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	12	7	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	12	8	prediction	prediction	NN
work_ope6navdjndnnebvcd4hv3hj44	12	9	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	12	10	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	12	11	numeric	numeric	JJ
work_ope6navdjndnnebvcd4hv3hj44	12	12	variable	variable	NN
work_ope6navdjndnnebvcd4hv3hj44	12	13	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	12	14	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	12	15	use	use	VBP
work_ope6navdjndnnebvcd4hv3hj44	12	16	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	12	17	deterministic	deterministic	JJ
work_ope6navdjndnnebvcd4hv3hj44	12	18	process	process	NN
work_ope6navdjndnnebvcd4hv3hj44	12	19	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	12	20	reach	reach	VB
work_ope6navdjndnnebvcd4hv3hj44	12	21	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	12	22	action	action	NN
work_ope6navdjndnnebvcd4hv3hj44	12	23	/	/	SYM
work_ope6navdjndnnebvcd4hv3hj44	12	24	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	12	25	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	12	26	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	12	27	made	make	VBN
work_ope6navdjndnnebvcd4hv3hj44	12	28	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	13	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	13	2	spite	spite	NN
work_ope6navdjndnnebvcd4hv3hj44	13	3	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	13	4	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	13	5	generality	generality	NN
work_ope6navdjndnnebvcd4hv3hj44	13	6	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	13	7	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	13	8	type	type	NN
work_ope6navdjndnnebvcd4hv3hj44	13	9	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	13	10	applications	application	NNS
work_ope6navdjndnnebvcd4hv3hj44	13	11	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	13	12	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	13	13	work	work	NN
work_ope6navdjndnnebvcd4hv3hj44	13	14	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	13	15	focused	focus	VBN
work_ope6navdjndnnebvcd4hv3hj44	13	16	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	13	17	analyzing	analyze	VBG
work_ope6navdjndnnebvcd4hv3hj44	13	18	them	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	13	19	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	13	20	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	13	21	context	context	NN
work_ope6navdjndnnebvcd4hv3hj44	13	22	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	13	23	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	13	24	markets	market	NNS
work_ope6navdjndnnebvcd4hv3hj44	13	25	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	14	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	14	2	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	14	3	domain	domain	NN
work_ope6navdjndnnebvcd4hv3hj44	14	4	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	14	5	goal	goal	NN
work_ope6navdjndnnebvcd4hv3hj44	14	6	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	14	7	investors	investor	NNS
work_ope6navdjndnnebvcd4hv3hj44	14	8	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	14	9	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	14	10	make	make	VB
work_ope6navdjndnnebvcd4hv3hj44	14	11	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	14	12	correct	correct	JJ
work_ope6navdjndnnebvcd4hv3hj44	14	13	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	14	14	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	14	15	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	14	16	Sell	sell	VB
work_ope6navdjndnnebvcd4hv3hj44	14	17	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	14	18	Buy	buy	VB
work_ope6navdjndnnebvcd4hv3hj44	14	19	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	14	20	or	or	CC
work_ope6navdjndnnebvcd4hv3hj44	14	21	Hold	hold	VB
work_ope6navdjndnnebvcd4hv3hj44	14	22	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	14	23	at	at	IN
work_ope6navdjndnnebvcd4hv3hj44	14	24	any	any	DT
work_ope6navdjndnnebvcd4hv3hj44	14	25	given	give	VBN
work_ope6navdjndnnebvcd4hv3hj44	14	26	point	point	NN
work_ope6navdjndnnebvcd4hv3hj44	14	27	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	14	28	time	time	NN
work_ope6navdjndnnebvcd4hv3hj44	14	29	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	15	1	These	these	DT
work_ope6navdjndnnebvcd4hv3hj44	15	2	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	15	3	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	15	4	made	make	VBN
work_ope6navdjndnnebvcd4hv3hj44	15	5	based	base	VBN
work_ope6navdjndnnebvcd4hv3hj44	15	6	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	15	7	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	15	8	investor	investor	NN
work_ope6navdjndnnebvcd4hv3hj44	15	9	’s	’s	POS
work_ope6navdjndnnebvcd4hv3hj44	15	10	expectations	expectation	NNS
work_ope6navdjndnnebvcd4hv3hj44	15	11	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	15	12	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	15	13	future	future	JJ
work_ope6navdjndnnebvcd4hv3hj44	15	14	evolution	evolution	NN
work_ope6navdjndnnebvcd4hv3hj44	15	15	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	15	16	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	15	17	asset	asset	NN
work_ope6navdjndnnebvcd4hv3hj44	15	18	prices	price	NNS
work_ope6navdjndnnebvcd4hv3hj44	15	19	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	16	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	16	2	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	16	3	work	work	NN
work_ope6navdjndnnebvcd4hv3hj44	16	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	16	5	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	16	6	approach	approach	VBP
work_ope6navdjndnnebvcd4hv3hj44	16	7	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	16	8	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	16	9	problem	problem	NN
work_ope6navdjndnnebvcd4hv3hj44	16	10	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	16	11	prediction	prediction	NN
work_ope6navdjndnnebvcd4hv3hj44	16	12	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	16	13	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	17	1	More	more	RBR
work_ope6navdjndnnebvcd4hv3hj44	17	2	specifically	specifically	RB
work_ope6navdjndnnebvcd4hv3hj44	17	3	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	17	4	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	17	5	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	17	6	compare	compare	VB
work_ope6navdjndnnebvcd4hv3hj44	17	7	two	two	CD
work_ope6navdjndnnebvcd4hv3hj44	17	8	possible	possible	JJ
work_ope6navdjndnnebvcd4hv3hj44	17	9	ways	way	NNS
work_ope6navdjndnnebvcd4hv3hj44	17	10	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	17	11	trying	try	VBG
work_ope6navdjndnnebvcd4hv3hj44	17	12	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	17	13	forecast	forecast	VB
work_ope6navdjndnnebvcd4hv3hj44	17	14	what	what	WP
work_ope6navdjndnnebvcd4hv3hj44	17	15	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	17	16	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	17	17	correct	correct	JJ
work_ope6navdjndnnebvcd4hv3hj44	17	18	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	17	19	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	17	20	at	at	IN
work_ope6navdjndnnebvcd4hv3hj44	17	21	any	any	DT
work_ope6navdjndnnebvcd4hv3hj44	17	22	point	point	NN
work_ope6navdjndnnebvcd4hv3hj44	17	23	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	17	24	time	time	NN
work_ope6navdjndnnebvcd4hv3hj44	17	25	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	18	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	18	2	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	18	3	target	target	NN
work_ope6navdjndnnebvcd4hv3hj44	18	4	applications	application	NNS
work_ope6navdjndnnebvcd4hv3hj44	18	5	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	18	6	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	18	7	assume	assume	VBP
work_ope6navdjndnnebvcd4hv3hj44	18	8	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	18	9	there	there	EX
work_ope6navdjndnnebvcd4hv3hj44	18	10	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	18	11	determin-	determin-	JJ
work_ope6navdjndnnebvcd4hv3hj44	18	12	istic	istic	JJ
work_ope6navdjndnnebvcd4hv3hj44	18	13	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	18	14	rules	rule	NNS
work_ope6navdjndnnebvcd4hv3hj44	18	15	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	18	16	given	give	VBN
work_ope6navdjndnnebvcd4hv3hj44	18	17	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	18	18	estimated	estimate	VBN
work_ope6navdjndnnebvcd4hv3hj44	18	19	evolution	evolution	NN
work_ope6navdjndnnebvcd4hv3hj44	18	20	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	18	21	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	18	22	prices	price	NNS
work_ope6navdjndnnebvcd4hv3hj44	18	23	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	18	24	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	18	25	asset	asset	NN
work_ope6navdjndnnebvcd4hv3hj44	18	26	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	18	27	indicate	indicate	VB
work_ope6navdjndnnebvcd4hv3hj44	18	28	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	18	29	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	18	30	action	action	NN
work_ope6navdjndnnebvcd4hv3hj44	18	31	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	18	32	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	18	33	taken	take	VBN
work_ope6navdjndnnebvcd4hv3hj44	18	34	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	19	1	These	these	DT
work_ope6navdjndnnebvcd4hv3hj44	19	2	rules	rule	NNS
work_ope6navdjndnnebvcd4hv3hj44	19	3	ileyonlinelibrary.com/journal/exsy	ileyonlinelibrary.com/journal/exsy	NNS
work_ope6navdjndnnebvcd4hv3hj44	19	4	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	19	5	typically	typically	RB
work_ope6navdjndnnebvcd4hv3hj44	19	6	driven	drive	VBN
work_ope6navdjndnnebvcd4hv3hj44	19	7	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	19	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	19	9	investor	investor	NN
work_ope6navdjndnnebvcd4hv3hj44	19	10	’s	’s	POS
work_ope6navdjndnnebvcd4hv3hj44	19	11	preferences	preference	NNS
work_ope6navdjndnnebvcd4hv3hj44	19	12	concerning	concern	VBG
work_ope6navdjndnnebvcd4hv3hj44	19	13	impor-	impor-	FW
work_ope6navdjndnnebvcd4hv3hj44	19	14	tant	tant	JJ
work_ope6navdjndnnebvcd4hv3hj44	19	15	aspects	aspect	NNS
work_ope6navdjndnnebvcd4hv3hj44	19	16	like	like	IN
work_ope6navdjndnnebvcd4hv3hj44	19	17	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	19	18	risk	risk	NN
work_ope6navdjndnnebvcd4hv3hj44	19	19	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	20	1	For	for	IN
work_ope6navdjndnnebvcd4hv3hj44	20	2	instance	instance	NN
work_ope6navdjndnnebvcd4hv3hj44	20	3	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	20	4	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	20	5	rule	rule	NN
work_ope6navdjndnnebvcd4hv3hj44	20	6	could	could	MD
work_ope6navdjndnnebvcd4hv3hj44	20	7	state	state	VB
work_ope6navdjndnnebvcd4hv3hj44	20	8	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	20	9	if	if	IN
work_ope6navdjndnnebvcd4hv3hj44	20	10	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	20	11	forecast	forecast	NN
work_ope6navdjndnnebvcd4hv3hj44	20	12	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	20	13	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	20	14	variation	variation	NN
work_ope6navdjndnnebvcd4hv3hj44	20	15	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	20	16	prices	price	NNS
work_ope6navdjndnnebvcd4hv3hj44	20	17	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	20	18	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	20	19	2.5	2.5	CD
work_ope6navdjndnnebvcd4hv3hj44	20	20	%	%	NN
work_ope6navdjndnnebvcd4hv3hj44	20	21	increase	increase	NN
work_ope6navdjndnnebvcd4hv3hj44	20	22	then	then	RB
work_ope6navdjndnnebvcd4hv3hj44	20	23	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	20	24	correct	correct	JJ
work_ope6navdjndnnebvcd4hv3hj44	20	25	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	20	26	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	20	27	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	20	28	buy	buy	VB
work_ope6navdjndnnebvcd4hv3hj44	20	29	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	20	30	asset	asset	NN
work_ope6navdjndnnebvcd4hv3hj44	20	31	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	20	32	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	20	33	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	20	34	allow	allow	VB
work_ope6navdjndnnebvcd4hv3hj44	20	35	covering	cover	VBG
work_ope6navdjndnnebvcd4hv3hj44	20	36	trans-	trans-	JJ
work_ope6navdjndnnebvcd4hv3hj44	20	37	action	action	NN
work_ope6navdjndnnebvcd4hv3hj44	20	38	costs	cost	NNS
work_ope6navdjndnnebvcd4hv3hj44	20	39	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	20	40	still	still	RB
work_ope6navdjndnnebvcd4hv3hj44	20	41	have	have	VB
work_ope6navdjndnnebvcd4hv3hj44	20	42	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	20	43	profit	profit	NN
work_ope6navdjndnnebvcd4hv3hj44	20	44	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	21	1	Given	give	VBN
work_ope6navdjndnnebvcd4hv3hj44	21	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	21	3	deterministic	deterministic	JJ
work_ope6navdjndnnebvcd4hv3hj44	21	4	mapping	mapping	NN
work_ope6navdjndnnebvcd4hv3hj44	21	5	from	from	IN
work_ope6navdjndnnebvcd4hv3hj44	21	6	forecasted	forecast	VBN
work_ope6navdjndnnebvcd4hv3hj44	21	7	values	value	NNS
work_ope6navdjndnnebvcd4hv3hj44	21	8	into	into	IN
work_ope6navdjndnnebvcd4hv3hj44	21	9	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	21	10	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	21	11	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	21	12	can	can	MD
work_ope6navdjndnnebvcd4hv3hj44	21	13	define	define	VB
work_ope6navdjndnnebvcd4hv3hj44	21	14	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	21	15	prediction	prediction	NN
work_ope6navdjndnnebvcd4hv3hj44	21	16	task	task	NN
work_ope6navdjndnnebvcd4hv3hj44	21	17	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	21	18	two	two	CD
work_ope6navdjndnnebvcd4hv3hj44	21	19	ways	way	NNS
work_ope6navdjndnnebvcd4hv3hj44	21	20	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	22	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	22	2	first	first	JJ
work_ope6navdjndnnebvcd4hv3hj44	22	3	consists	consist	VBZ
work_ope6navdjndnnebvcd4hv3hj44	22	4	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	22	5	obtaining	obtain	VBG
work_ope6navdjndnnebvcd4hv3hj44	22	6	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	22	7	numeric	numeric	JJ
work_ope6navdjndnnebvcd4hv3hj44	22	8	prediction	prediction	NN
work_ope6navdjndnnebvcd4hv3hj44	22	9	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	22	10	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	22	11	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	22	12	can	can	MD
work_ope6navdjndnnebvcd4hv3hj44	22	13	use	use	VB
work_ope6navdjndnnebvcd4hv3hj44	22	14	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	22	15	obtain	obtain	VB
work_ope6navdjndnnebvcd4hv3hj44	22	16	predictions	prediction	NNS
work_ope6navdjndnnebvcd4hv3hj44	22	17	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	22	18	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	22	19	future	future	JJ
work_ope6navdjndnnebvcd4hv3hj44	22	20	variation	variation	NN
work_ope6navdjndnnebvcd4hv3hj44	22	21	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	22	22	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	22	23	prices	price	NNS
work_ope6navdjndnnebvcd4hv3hj44	22	24	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	22	25	which	which	WDT
work_ope6navdjndnnebvcd4hv3hj44	22	26	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	22	27	then	then	RB
work_ope6navdjndnnebvcd4hv3hj44	22	28	transformed	transform	VBN
work_ope6navdjndnnebvcd4hv3hj44	22	29	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	22	30	deterministically	deterministically	RB
work_ope6navdjndnnebvcd4hv3hj44	22	31	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	22	32	into	into	IN
work_ope6navdjndnnebvcd4hv3hj44	22	33	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	22	34	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	22	35	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	22	36	e.g.	e.g.	RB
work_ope6navdjndnnebvcd4hv3hj44	22	37	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	22	38	Hellstrom	Hellstrom	NNP
work_ope6navdjndnnebvcd4hv3hj44	22	39	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	22	40	1999	1999	CD
work_ope6navdjndnnebvcd4hv3hj44	22	41	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	22	42	;	;	:
work_ope6navdjndnnebvcd4hv3hj44	22	43	Lu	Lu	NNP
work_ope6navdjndnnebvcd4hv3hj44	22	44	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	22	45	Lee	Lee	NNP
work_ope6navdjndnnebvcd4hv3hj44	22	46	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	22	47	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	22	48	Chiu	Chiu	NNP
work_ope6navdjndnnebvcd4hv3hj44	22	49	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	22	50	2009	2009	CD
work_ope6navdjndnnebvcd4hv3hj44	22	51	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	22	52	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	22	53	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	23	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	23	2	second	second	JJ
work_ope6navdjndnnebvcd4hv3hj44	23	3	alternative	alternative	NN
work_ope6navdjndnnebvcd4hv3hj44	23	4	consists	consist	VBZ
work_ope6navdjndnnebvcd4hv3hj44	23	5	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	23	6	directly	directly	RB
work_ope6navdjndnnebvcd4hv3hj44	23	7	forecasting	forecast	VBG
work_ope6navdjndnnebvcd4hv3hj44	23	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	23	9	correct	correct	JJ
work_ope6navdjndnnebvcd4hv3hj44	23	10	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	23	11	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	23	12	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	23	13	e.g.	e.g.	RB
work_ope6navdjndnnebvcd4hv3hj44	23	14	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	23	15	Luo	Luo	NNP
work_ope6navdjndnnebvcd4hv3hj44	23	16	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	23	17	Chen	Chen	NNP
work_ope6navdjndnnebvcd4hv3hj44	23	18	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	23	19	2013	2013	CD
work_ope6navdjndnnebvcd4hv3hj44	23	20	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	23	21	;	;	:
work_ope6navdjndnnebvcd4hv3hj44	23	22	Ma	Ma	NNP
work_ope6navdjndnnebvcd4hv3hj44	23	23	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	23	24	Song	Song	NNP
work_ope6navdjndnnebvcd4hv3hj44	23	25	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	23	26	Hung	Hung	NNP
work_ope6navdjndnnebvcd4hv3hj44	23	27	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	23	28	Su	Su	NNP
work_ope6navdjndnnebvcd4hv3hj44	23	29	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	23	30	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	23	31	Huang	Huang	NNP
work_ope6navdjndnnebvcd4hv3hj44	23	32	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	23	33	2012	2012	CD
work_ope6navdjndnnebvcd4hv3hj44	23	34	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	23	35	;	;	:
work_ope6navdjndnnebvcd4hv3hj44	23	36	Teixeira	Teixeira	NNP
work_ope6navdjndnnebvcd4hv3hj44	23	37	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	23	38	de	de	NNP
work_ope6navdjndnnebvcd4hv3hj44	23	39	Oliveira	Oliveira	NNP
work_ope6navdjndnnebvcd4hv3hj44	23	40	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	23	41	2010	2010	CD
work_ope6navdjndnnebvcd4hv3hj44	23	42	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	23	43	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	23	44	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	24	1	Which	which	WDT
work_ope6navdjndnnebvcd4hv3hj44	24	2	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	24	3	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	24	4	best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	24	5	option	option	NN
work_ope6navdjndnnebvcd4hv3hj44	24	6	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	24	7	terms	term	NNS
work_ope6navdjndnnebvcd4hv3hj44	24	8	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	24	9	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	24	10	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	24	11	?	?	.
work_ope6navdjndnnebvcd4hv3hj44	25	1	To	to	IN
work_ope6navdjndnnebvcd4hv3hj44	25	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	25	3	best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	25	4	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	25	5	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	25	6	knowledge	knowledge	NN
work_ope6navdjndnnebvcd4hv3hj44	25	7	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	25	8	no	no	DT
work_ope6navdjndnnebvcd4hv3hj44	25	9	comparative	comparative	JJ
work_ope6navdjndnnebvcd4hv3hj44	25	10	study	study	NN
work_ope6navdjndnnebvcd4hv3hj44	25	11	was	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	25	12	carried	carry	VBN
work_ope6navdjndnnebvcd4hv3hj44	25	13	out	out	RP
work_ope6navdjndnnebvcd4hv3hj44	25	14	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	25	15	answer	answer	VB
work_ope6navdjndnnebvcd4hv3hj44	25	16	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	25	17	question	question	NN
work_ope6navdjndnnebvcd4hv3hj44	25	18	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	26	1	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	26	2	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	26	3	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	26	4	goal	goal	NN
work_ope6navdjndnnebvcd4hv3hj44	26	5	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	26	6	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	26	7	main	main	JJ
work_ope6navdjndnnebvcd4hv3hj44	26	8	contribution	contribution	NN
work_ope6navdjndnnebvcd4hv3hj44	26	9	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	26	10	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	26	11	paper	paper	NN
work_ope6navdjndnnebvcd4hv3hj44	26	12	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	26	13	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	26	14	compare	compare	VB
work_ope6navdjndnnebvcd4hv3hj44	26	15	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	26	16	two	two	CD
work_ope6navdjndnnebvcd4hv3hj44	26	17	approaches	approach	NNS
work_ope6navdjndnnebvcd4hv3hj44	26	18	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	26	19	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	26	20	making	make	VBG
work_ope6navdjndnnebvcd4hv3hj44	26	21	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	26	22	provide	provide	VB
work_ope6navdjndnnebvcd4hv3hj44	26	23	experimental	experimental	JJ
work_ope6navdjndnnebvcd4hv3hj44	26	24	evidence	evidence	NN
work_ope6navdjndnnebvcd4hv3hj44	26	25	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	26	26	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	26	27	advantages	advantage	NNS
work_ope6navdjndnnebvcd4hv3hj44	26	28	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	26	29	disadvantages	disadvantage	NNS
work_ope6navdjndnnebvcd4hv3hj44	26	30	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	26	31	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	26	32	alternative	alternative	NN
work_ope6navdjndnnebvcd4hv3hj44	26	33	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	27	1	2	2	CD
work_ope6navdjndnnebvcd4hv3hj44	27	2	|	|	CD
work_ope6navdjndnnebvcd4hv3hj44	27	3	PROBLEM	problem	NN
work_ope6navdjndnnebvcd4hv3hj44	27	4	FORMALIZATION	FORMALIZATION	VBN
work_ope6navdjndnnebvcd4hv3hj44	27	5	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	27	6	problem	problem	NN
work_ope6navdjndnnebvcd4hv3hj44	27	7	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	27	8	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	27	9	making	making	NN
work_ope6navdjndnnebvcd4hv3hj44	27	10	based	base	VBN
work_ope6navdjndnnebvcd4hv3hj44	27	11	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	27	12	forecasts	forecast	NNS
work_ope6navdjndnnebvcd4hv3hj44	27	13	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	27	14	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	27	15	numerical	numerical	JJ
work_ope6navdjndnnebvcd4hv3hj44	27	16	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	27	17	continuous	continuous	JJ
work_ope6navdjndnnebvcd4hv3hj44	27	18	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	27	19	value	value	NN
work_ope6navdjndnnebvcd4hv3hj44	27	20	can	can	MD
work_ope6navdjndnnebvcd4hv3hj44	27	21	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	27	22	formalized	formalize	VBN
work_ope6navdjndnnebvcd4hv3hj44	27	23	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	27	24	follows	follow	VBZ
work_ope6navdjndnnebvcd4hv3hj44	27	25	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	28	1	We	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	28	2	assume	assume	VBP
work_ope6navdjndnnebvcd4hv3hj44	28	3	there	there	EX
work_ope6navdjndnnebvcd4hv3hj44	28	4	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	28	5	Copyright	copyright	NN
work_ope6navdjndnnebvcd4hv3hj44	28	6	©	©	NNP
work_ope6navdjndnnebvcd4hv3hj44	28	7	2016	2016	CD
work_ope6navdjndnnebvcd4hv3hj44	28	8	John	John	NNP
work_ope6navdjndnnebvcd4hv3hj44	28	9	Wiley	Wiley	NNP
work_ope6navdjndnnebvcd4hv3hj44	28	10	&	&	CC
work_ope6navdjndnnebvcd4hv3hj44	28	11	Sons	Sons	NNP
work_ope6navdjndnnebvcd4hv3hj44	28	12	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	28	13	Ltd.	Ltd.	NNP
work_ope6navdjndnnebvcd4hv3hj44	28	14	1	1	CD
work_ope6navdjndnnebvcd4hv3hj44	28	15	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	28	16	13	13	CD
work_ope6navdjndnnebvcd4hv3hj44	28	17	https://doi.org/10.1111/exsy.12169	https://doi.org/10.1111/exsy.12169	NNS
work_ope6navdjndnnebvcd4hv3hj44	28	18	http://wileyonlinelibrary.com/journal/exsy	http://wileyonlinelibrary.com/journal/exsy	NNP
work_ope6navdjndnnebvcd4hv3hj44	28	19	https://doi.org/10.1111/exsy.12169	https://doi.org/10.1111/exsy.12169	NNS
work_ope6navdjndnnebvcd4hv3hj44	28	20	2	2	CD
work_ope6navdjndnnebvcd4hv3hj44	28	21	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	28	22	13	13	CD
work_ope6navdjndnnebvcd4hv3hj44	28	23	BAÍA	BAÍA	NNS
work_ope6navdjndnnebvcd4hv3hj44	28	24	AND	and	CC
work_ope6navdjndnnebvcd4hv3hj44	28	25	TORGO	torgo	VBP
work_ope6navdjndnnebvcd4hv3hj44	28	26	an	an	DT
work_ope6navdjndnnebvcd4hv3hj44	28	27	unknown	unknown	JJ
work_ope6navdjndnnebvcd4hv3hj44	28	28	function	function	NN
work_ope6navdjndnnebvcd4hv3hj44	28	29	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	28	30	maps	map	VBZ
work_ope6navdjndnnebvcd4hv3hj44	28	31	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	28	32	values	value	NNS
work_ope6navdjndnnebvcd4hv3hj44	28	33	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	28	34	p	p	NN
work_ope6navdjndnnebvcd4hv3hj44	28	35	predictor	predictor	NN
work_ope6navdjndnnebvcd4hv3hj44	28	36	variables	variable	NNS
work_ope6navdjndnnebvcd4hv3hj44	28	37	into	into	IN
work_ope6navdjndnnebvcd4hv3hj44	28	38	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	28	39	values	value	NNS
work_ope6navdjndnnebvcd4hv3hj44	28	40	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	28	41	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	28	42	certain	certain	JJ
work_ope6navdjndnnebvcd4hv3hj44	28	43	numeric	numeric	JJ
work_ope6navdjndnnebvcd4hv3hj44	28	44	variable	variable	NN
work_ope6navdjndnnebvcd4hv3hj44	28	45	Y.	y.	NN
work_ope6navdjndnnebvcd4hv3hj44	29	1	Let	let	VB
work_ope6navdjndnnebvcd4hv3hj44	29	2	f	f	PRP
work_ope6navdjndnnebvcd4hv3hj44	29	3	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	29	4	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	29	5	unknown	unknown	JJ
work_ope6navdjndnnebvcd4hv3hj44	29	6	function	function	NN
work_ope6navdjndnnebvcd4hv3hj44	29	7	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	29	8	receives	receive	VBZ
work_ope6navdjndnnebvcd4hv3hj44	29	9	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	29	10	input	input	NN
work_ope6navdjndnnebvcd4hv3hj44	29	11	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	29	12	vector	vector	NN
work_ope6navdjndnnebvcd4hv3hj44	29	13	x	x	NN
work_ope6navdjndnnebvcd4hv3hj44	29	14	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	29	15	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	29	16	values	value	NNS
work_ope6navdjndnnebvcd4hv3hj44	29	17	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	29	18	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	29	19	p	p	NN
work_ope6navdjndnnebvcd4hv3hj44	29	20	predictors	predictor	NNS
work_ope6navdjndnnebvcd4hv3hj44	29	21	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	29	22	returns	return	VBZ
work_ope6navdjndnnebvcd4hv3hj44	29	23	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	29	24	value	value	NN
work_ope6navdjndnnebvcd4hv3hj44	29	25	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	29	26	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	29	27	target	target	NN
work_ope6navdjndnnebvcd4hv3hj44	29	28	numeric	numeric	JJ
work_ope6navdjndnnebvcd4hv3hj44	29	29	variableY	variableY	NNP
work_ope6navdjndnnebvcd4hv3hj44	29	30	whose	whose	WP$
work_ope6navdjndnnebvcd4hv3hj44	29	31	values	value	NNS
work_ope6navdjndnnebvcd4hv3hj44	29	32	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	29	33	supposed	suppose	VBN
work_ope6navdjndnnebvcd4hv3hj44	29	34	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	29	35	depend	depend	VB
work_ope6navdjndnnebvcd4hv3hj44	29	36	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	29	37	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	29	38	predictors	predictor	NNS
work_ope6navdjndnnebvcd4hv3hj44	29	39	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	29	40	f	f	NN
work_ope6navdjndnnebvcd4hv3hj44	29	41	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	29	42	ℝp→ℝ	ℝp→ℝ	VBN
work_ope6navdjndnnebvcd4hv3hj44	29	43	x↦f	x↦f	NNP
work_ope6navdjndnnebvcd4hv3hj44	29	44	xð	xð	NNP
work_ope6navdjndnnebvcd4hv3hj44	29	45	Þ	þ	NN
work_ope6navdjndnnebvcd4hv3hj44	29	46	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	29	47	We	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	29	48	also	also	RB
work_ope6navdjndnnebvcd4hv3hj44	29	49	assume	assume	VBP
work_ope6navdjndnnebvcd4hv3hj44	29	50	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	29	51	based	base	VBN
work_ope6navdjndnnebvcd4hv3hj44	29	52	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	29	53	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	29	54	values	value	NNS
work_ope6navdjndnnebvcd4hv3hj44	29	55	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	29	56	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	29	57	variable	variable	JJ
work_ope6navdjndnnebvcd4hv3hj44	29	58	Y	y	NN
work_ope6navdjndnnebvcd4hv3hj44	29	59	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	29	60	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	29	61	need	need	VBP
work_ope6navdjndnnebvcd4hv3hj44	29	62	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	29	63	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	29	64	made	make	VBN
work_ope6navdjndnnebvcd4hv3hj44	29	65	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	30	1	Let	let	VB
work_ope6navdjndnnebvcd4hv3hj44	30	2	g	g	PRP
work_ope6navdjndnnebvcd4hv3hj44	30	3	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	30	4	another	another	DT
work_ope6navdjndnnebvcd4hv3hj44	30	5	function	function	NN
work_ope6navdjndnnebvcd4hv3hj44	30	6	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	30	7	given	give	VBN
work_ope6navdjndnnebvcd4hv3hj44	30	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	30	9	values	value	NNS
work_ope6navdjndnnebvcd4hv3hj44	30	10	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	30	11	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	30	12	target	target	NN
work_ope6navdjndnnebvcd4hv3hj44	30	13	numeric	numeric	JJ
work_ope6navdjndnnebvcd4hv3hj44	30	14	variable	variable	JJ
work_ope6navdjndnnebvcd4hv3hj44	30	15	transforms	transform	VBZ
work_ope6navdjndnnebvcd4hv3hj44	30	16	them	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	30	17	into	into	IN
work_ope6navdjndnnebvcd4hv3hj44	30	18	actions/	actions/	JJ
work_ope6navdjndnnebvcd4hv3hj44	30	19	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	30	20	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	30	21	g	g	NN
work_ope6navdjndnnebvcd4hv3hj44	30	22	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	30	23	ℝ→A	ℝ→A	NNP
work_ope6navdjndnnebvcd4hv3hj44	30	24	¼	¼	NNP
work_ope6navdjndnnebvcd4hv3hj44	30	25	α1	α1	FW
work_ope6navdjndnnebvcd4hv3hj44	30	26	;	;	:
work_ope6navdjndnnebvcd4hv3hj44	30	27	α2	α2	NNP
work_ope6navdjndnnebvcd4hv3hj44	30	28	;	;	:
work_ope6navdjndnnebvcd4hv3hj44	30	29	α3	α3	NNP
work_ope6navdjndnnebvcd4hv3hj44	30	30	…	…	NFP
work_ope6navdjndnnebvcd4hv3hj44	30	31	f	f	NN
work_ope6navdjndnnebvcd4hv3hj44	30	32	g	g	NNP
work_ope6navdjndnnebvcd4hv3hj44	30	33	Y↦g	y↦g	PRP
work_ope6navdjndnnebvcd4hv3hj44	30	34	Yð	Yð	NNP
work_ope6navdjndnnebvcd4hv3hj44	30	35	Þ	Þ	NNP
work_ope6navdjndnnebvcd4hv3hj44	30	36	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	30	37	where	where	WRB
work_ope6navdjndnnebvcd4hv3hj44	30	38	A	a	DT
work_ope6navdjndnnebvcd4hv3hj44	30	39	represents	represent	VBZ
work_ope6navdjndnnebvcd4hv3hj44	30	40	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	30	41	set	set	NN
work_ope6navdjndnnebvcd4hv3hj44	30	42	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	30	43	possible	possible	JJ
work_ope6navdjndnnebvcd4hv3hj44	30	44	actions	action	NNS
work_ope6navdjndnnebvcd4hv3hj44	30	45	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	31	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	31	2	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	31	3	target	target	NN
work_ope6navdjndnnebvcd4hv3hj44	31	4	applications	application	NNS
work_ope6navdjndnnebvcd4hv3hj44	31	5	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	31	6	functions	function	NNS
work_ope6navdjndnnebvcd4hv3hj44	31	7	f	f	NNP
work_ope6navdjndnnebvcd4hv3hj44	31	8	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	31	9	g	g	NNP
work_ope6navdjndnnebvcd4hv3hj44	31	10	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	31	11	very	very	RB
work_ope6navdjndnnebvcd4hv3hj44	31	12	different	different	JJ
work_ope6navdjndnnebvcd4hv3hj44	31	13	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	32	1	Function	function	NN
work_ope6navdjndnnebvcd4hv3hj44	32	2	g	g	NN
work_ope6navdjndnnebvcd4hv3hj44	32	3	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	32	4	known	know	VBN
work_ope6navdjndnnebvcd4hv3hj44	32	5	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	32	6	deterministic	deterministic	JJ
work_ope6navdjndnnebvcd4hv3hj44	32	7	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	32	8	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	32	9	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	32	10	sense	sense	NN
work_ope6navdjndnnebvcd4hv3hj44	32	11	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	32	12	it	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	32	13	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	32	14	part	part	NN
work_ope6navdjndnnebvcd4hv3hj44	32	15	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	32	16	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	32	17	domain	domain	NN
work_ope6navdjndnnebvcd4hv3hj44	32	18	background	background	NN
work_ope6navdjndnnebvcd4hv3hj44	32	19	knowledge	knowledge	NN
work_ope6navdjndnnebvcd4hv3hj44	32	20	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	33	1	Function	Function	NNP
work_ope6navdjndnnebvcd4hv3hj44	33	2	f	f	NNP
work_ope6navdjndnnebvcd4hv3hj44	33	3	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	33	4	unknown	unknown	JJ
work_ope6navdjndnnebvcd4hv3hj44	33	5	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	33	6	uncertain	uncertain	JJ
work_ope6navdjndnnebvcd4hv3hj44	33	7	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	34	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	34	2	only	only	JJ
work_ope6navdjndnnebvcd4hv3hj44	34	3	information	information	NN
work_ope6navdjndnnebvcd4hv3hj44	34	4	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	34	5	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	34	6	about	about	IN
work_ope6navdjndnnebvcd4hv3hj44	34	7	function	function	NN
work_ope6navdjndnnebvcd4hv3hj44	34	8	f	f	NNP
work_ope6navdjndnnebvcd4hv3hj44	34	9	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	34	10	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	34	11	histor-	histor-	JJ
work_ope6navdjndnnebvcd4hv3hj44	34	12	ical	ical	JJ
work_ope6navdjndnnebvcd4hv3hj44	34	13	record	record	NN
work_ope6navdjndnnebvcd4hv3hj44	34	14	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	34	15	mappings	mapping	NNS
work_ope6navdjndnnebvcd4hv3hj44	34	16	from	from	IN
work_ope6navdjndnnebvcd4hv3hj44	34	17	x	x	NNS
work_ope6navdjndnnebvcd4hv3hj44	34	18	into	into	IN
work_ope6navdjndnnebvcd4hv3hj44	34	19	Y	Y	NNP
work_ope6navdjndnnebvcd4hv3hj44	34	20	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	34	21	that	that	RB
work_ope6navdjndnnebvcd4hv3hj44	34	22	is	is	RB
work_ope6navdjndnnebvcd4hv3hj44	34	23	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	34	24	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	34	25	data	data	NN
work_ope6navdjndnnebvcd4hv3hj44	34	26	set	set	NN
work_ope6navdjndnnebvcd4hv3hj44	34	27	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	34	28	can	can	MD
work_ope6navdjndnnebvcd4hv3hj44	34	29	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	34	30	used	use	VBN
work_ope6navdjndnnebvcd4hv3hj44	34	31	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	34	32	learn	learn	VB
work_ope6navdjndnnebvcd4hv3hj44	34	33	an	an	DT
work_ope6navdjndnnebvcd4hv3hj44	34	34	approximation	approximation	NN
work_ope6navdjndnnebvcd4hv3hj44	34	35	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	34	36	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	34	37	function	function	NN
work_ope6navdjndnnebvcd4hv3hj44	34	38	f.	f.	NNP
work_ope6navdjndnnebvcd4hv3hj44	34	39	Given	give	VBN
work_ope6navdjndnnebvcd4hv3hj44	34	40	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	34	41	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	34	42	variable	variable	JJ
work_ope6navdjndnnebvcd4hv3hj44	34	43	Y	Y	NNP
work_ope6navdjndnnebvcd4hv3hj44	34	44	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	34	45	numeric	numeric	JJ
work_ope6navdjndnnebvcd4hv3hj44	34	46	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	34	47	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	34	48	approximation	approximation	NN
work_ope6navdjndnnebvcd4hv3hj44	34	49	could	could	MD
work_ope6navdjndnnebvcd4hv3hj44	34	50	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	34	51	obtained	obtain	VBN
work_ope6navdjndnnebvcd4hv3hj44	34	52	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	34	53	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	34	54	existing	exist	VBG
work_ope6navdjndnnebvcd4hv3hj44	34	55	multiple	multiple	JJ
work_ope6navdjndnnebvcd4hv3hj44	34	56	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	34	57	tools	tool	NNS
work_ope6navdjndnnebvcd4hv3hj44	34	58	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	35	1	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	35	2	means	mean	VBZ
work_ope6navdjndnnebvcd4hv3hj44	35	3	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	35	4	given	give	VBN
work_ope6navdjndnnebvcd4hv3hj44	35	5	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	35	6	data	data	NN
work_ope6navdjndnnebvcd4hv3hj44	35	7	set	set	VBN
work_ope6navdjndnnebvcd4hv3hj44	35	8	Dr	Dr	NNP
work_ope6navdjndnnebvcd4hv3hj44	35	9	¼	¼	IN
work_ope6navdjndnnebvcd4hv3hj44	35	10	xi	xi	NNP
work_ope6navdjndnnebvcd4hv3hj44	35	11	;	;	:
work_ope6navdjndnnebvcd4hv3hj44	35	12	Yih	Yih	NNP
work_ope6navdjndnnebvcd4hv3hj44	35	13	ini¼1	ini¼1	NNP
work_ope6navdjndnnebvcd4hv3hj44	35	14	�	�	NNP
work_ope6navdjndnnebvcd4hv3hj44	35	15	�	�	NNP
work_ope6navdjndnnebvcd4hv3hj44	35	16	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	35	17	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	35	18	can	can	MD
work_ope6navdjndnnebvcd4hv3hj44	35	19	use	use	VB
work_ope6navdjndnnebvcd4hv3hj44	35	20	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	35	21	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	35	22	tool	tool	NN
work_ope6navdjndnnebvcd4hv3hj44	35	23	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	35	24	obtain	obtain	VB
work_ope6navdjndnnebvcd4hv3hj44	35	25	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	35	26	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	35	27	r	r	NN
work_ope6navdjndnnebvcd4hv3hj44	35	28	̂	̂	NNP
work_ope6navdjndnnebvcd4hv3hj44	35	29	xð	xð	NNP
work_ope6navdjndnnebvcd4hv3hj44	35	30	Þ	Þ	NNP
work_ope6navdjndnnebvcd4hv3hj44	35	31	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	35	32	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	35	33	an	an	DT
work_ope6navdjndnnebvcd4hv3hj44	35	34	approximation	approximation	NN
work_ope6navdjndnnebvcd4hv3hj44	35	35	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	35	36	f.	f.	NNP
work_ope6navdjndnnebvcd4hv3hj44	35	37	From	from	IN
work_ope6navdjndnnebvcd4hv3hj44	35	38	an	an	DT
work_ope6navdjndnnebvcd4hv3hj44	35	39	operational	operational	JJ
work_ope6navdjndnnebvcd4hv3hj44	35	40	perspective	perspective	NN
work_ope6navdjndnnebvcd4hv3hj44	35	41	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	35	42	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	35	43	would	would	MD
work_ope6navdjndnnebvcd4hv3hj44	35	44	mean	mean	VB
work_ope6navdjndnnebvcd4hv3hj44	35	45	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	35	46	given	give	VBN
work_ope6navdjndnnebvcd4hv3hj44	35	47	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	35	48	test	test	NN
work_ope6navdjndnnebvcd4hv3hj44	35	49	case	case	NN
work_ope6navdjndnnebvcd4hv3hj44	35	50	q	q	NNP
work_ope6navdjndnnebvcd4hv3hj44	35	51	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	35	52	which	which	WDT
work_ope6navdjndnnebvcd4hv3hj44	35	53	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	35	54	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	35	55	needs	need	VBZ
work_ope6navdjndnnebvcd4hv3hj44	35	56	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	35	57	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	35	58	made	make	VBN
work_ope6navdjndnnebvcd4hv3hj44	35	59	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	35	60	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	35	61	would	would	MD
work_ope6navdjndnnebvcd4hv3hj44	35	62	proceed	proceed	VB
work_ope6navdjndnnebvcd4hv3hj44	35	63	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	35	64	first	first	RB
work_ope6navdjndnnebvcd4hv3hj44	35	65	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	35	66	r	r	NN
work_ope6navdjndnnebvcd4hv3hj44	35	67	̂	̂	NNP
work_ope6navdjndnnebvcd4hv3hj44	35	68	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	35	69	obtain	obtain	VB
work_ope6navdjndnnebvcd4hv3hj44	35	70	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	35	71	prediction	prediction	NN
work_ope6navdjndnnebvcd4hv3hj44	35	72	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	35	73	Y	Y	NNP
work_ope6navdjndnnebvcd4hv3hj44	35	74	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	35	75	then	then	RB
work_ope6navdjndnnebvcd4hv3hj44	35	76	apply	apply	VBP
work_ope6navdjndnnebvcd4hv3hj44	35	77	g	g	NN
work_ope6navdjndnnebvcd4hv3hj44	35	78	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	35	79	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	35	80	predicted	predict	VBN
work_ope6navdjndnnebvcd4hv3hj44	35	81	value	value	NN
work_ope6navdjndnnebvcd4hv3hj44	35	82	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	35	83	get	get	VB
work_ope6navdjndnnebvcd4hv3hj44	35	84	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	35	85	predicted	predict	VBN
work_ope6navdjndnnebvcd4hv3hj44	35	86	action	action	NN
work_ope6navdjndnnebvcd4hv3hj44	35	87	/	/	SYM
work_ope6navdjndnnebvcd4hv3hj44	35	88	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	35	89	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	35	90	that	that	RB
work_ope6navdjndnnebvcd4hv3hj44	35	91	is	is	RB
work_ope6navdjndnnebvcd4hv3hj44	35	92	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	35	93	q↦	q↦	NNP
work_ope6navdjndnnebvcd4hv3hj44	35	94	r	r	NNP
work_ope6navdjndnnebvcd4hv3hj44	35	95	̂	̂	NNP
work_ope6navdjndnnebvcd4hv3hj44	35	96	qð	qð	NNP
work_ope6navdjndnnebvcd4hv3hj44	35	97	Þ↦g	Þ↦g	NNP
work_ope6navdjndnnebvcd4hv3hj44	35	98	r	r	NNP
work_ope6navdjndnnebvcd4hv3hj44	35	99	̂	̂	NNP
work_ope6navdjndnnebvcd4hv3hj44	35	100	qð	qð	NNP
work_ope6navdjndnnebvcd4hv3hj44	35	101	Þð	Þð	NNP
work_ope6navdjndnnebvcd4hv3hj44	35	102	Þ.	Þ.	NNP
work_ope6navdjndnnebvcd4hv3hj44	36	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	36	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	36	3	con-	con-	NN
work_ope6navdjndnnebvcd4hv3hj44	36	4	text	text	NN
work_ope6navdjndnnebvcd4hv3hj44	36	5	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	36	6	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	36	7	markets	market	NNS
work_ope6navdjndnnebvcd4hv3hj44	36	8	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	36	9	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	36	10	predictors	predictor	NNS
work_ope6navdjndnnebvcd4hv3hj44	36	11	describe	describe	VBP
work_ope6navdjndnnebvcd4hv3hj44	36	12	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	36	13	currently	currently	RB
work_ope6navdjndnnebvcd4hv3hj44	36	14	observed	observe	VBN
work_ope6navdjndnnebvcd4hv3hj44	36	15	dynamics	dynamic	NNS
work_ope6navdjndnnebvcd4hv3hj44	36	16	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	36	17	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	36	18	prices	price	NNS
work_ope6navdjndnnebvcd4hv3hj44	36	19	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	36	20	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	36	21	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	36	22	asset	asset	NN
work_ope6navdjndnnebvcd4hv3hj44	36	23	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	36	24	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	36	25	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	36	26	target	target	NN
work_ope6navdjndnnebvcd4hv3hj44	36	27	numeric	numeric	JJ
work_ope6navdjndnnebvcd4hv3hj44	36	28	variable	variable	JJ
work_ope6navdjndnnebvcd4hv3hj44	36	29	Y	Y	NNP
work_ope6navdjndnnebvcd4hv3hj44	36	30	represents	represent	VBZ
work_ope6navdjndnnebvcd4hv3hj44	36	31	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	36	32	future	future	JJ
work_ope6navdjndnnebvcd4hv3hj44	36	33	variation	variation	NN
work_ope6navdjndnnebvcd4hv3hj44	36	34	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	36	35	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	36	36	price	price	NN
work_ope6navdjndnnebvcd4hv3hj44	36	37	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	37	1	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	37	2	means	mean	VBZ
work_ope6navdjndnnebvcd4hv3hj44	37	3	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	37	4	f	f	NNP
work_ope6navdjndnnebvcd4hv3hj44	37	5	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	37	6	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	37	7	unknown	unknown	JJ
work_ope6navdjndnnebvcd4hv3hj44	37	8	function	function	NN
work_ope6navdjndnnebvcd4hv3hj44	37	9	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	37	10	maps	map	VBZ
work_ope6navdjndnnebvcd4hv3hj44	37	11	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	37	12	currently	currently	RB
work_ope6navdjndnnebvcd4hv3hj44	37	13	observed	observe	VBN
work_ope6navdjndnnebvcd4hv3hj44	37	14	price	price	NN
work_ope6navdjndnnebvcd4hv3hj44	37	15	dynamics	dynamic	NNS
work_ope6navdjndnnebvcd4hv3hj44	37	16	into	into	IN
work_ope6navdjndnnebvcd4hv3hj44	37	17	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	37	18	future	future	JJ
work_ope6navdjndnnebvcd4hv3hj44	37	19	evolution	evolution	NN
work_ope6navdjndnnebvcd4hv3hj44	37	20	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	37	21	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	37	22	price	price	NN
work_ope6navdjndnnebvcd4hv3hj44	37	23	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	38	1	On	on	IN
work_ope6navdjndnnebvcd4hv3hj44	38	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	38	3	other	other	JJ
work_ope6navdjndnnebvcd4hv3hj44	38	4	hand	hand	NN
work_ope6navdjndnnebvcd4hv3hj44	38	5	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	38	6	g	g	NNP
work_ope6navdjndnnebvcd4hv3hj44	38	7	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	38	8	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	38	9	deterministic	deterministic	JJ
work_ope6navdjndnnebvcd4hv3hj44	38	10	function	function	NN
work_ope6navdjndnnebvcd4hv3hj44	38	11	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	38	12	typically	typically	RB
work_ope6navdjndnnebvcd4hv3hj44	38	13	based	base	VBN
work_ope6navdjndnnebvcd4hv3hj44	38	14	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	38	15	domain	domain	NN
work_ope6navdjndnnebvcd4hv3hj44	38	16	knowledge	knowledge	NN
work_ope6navdjndnnebvcd4hv3hj44	38	17	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	38	18	risk	risk	NN
work_ope6navdjndnnebvcd4hv3hj44	38	19	preferences	preference	NNS
work_ope6navdjndnnebvcd4hv3hj44	38	20	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	38	21	traders	trader	NNS
work_ope6navdjndnnebvcd4hv3hj44	38	22	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	38	23	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	38	24	maps	map	VBZ
work_ope6navdjndnnebvcd4hv3hj44	38	25	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	38	26	prediction	prediction	NN
work_ope6navdjndnnebvcd4hv3hj44	38	27	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	38	28	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	38	29	future	future	JJ
work_ope6navdjndnnebvcd4hv3hj44	38	30	evolution	evolution	NN
work_ope6navdjndnnebvcd4hv3hj44	38	31	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	38	32	prices	price	NNS
work_ope6navdjndnnebvcd4hv3hj44	38	33	into	into	IN
work_ope6navdjndnnebvcd4hv3hj44	38	34	one	one	CD
work_ope6navdjndnnebvcd4hv3hj44	38	35	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	38	36	three	three	CD
work_ope6navdjndnnebvcd4hv3hj44	38	37	possible	possible	JJ
work_ope6navdjndnnebvcd4hv3hj44	38	38	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	38	39	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	38	40	Sell	sell	VB
work_ope6navdjndnnebvcd4hv3hj44	38	41	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	38	42	Hold	hold	VB
work_ope6navdjndnnebvcd4hv3hj44	38	43	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	38	44	or	or	CC
work_ope6navdjndnnebvcd4hv3hj44	38	45	Buy	Buy	NNP
work_ope6navdjndnnebvcd4hv3hj44	38	46	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	39	1	Given	give	VBN
work_ope6navdjndnnebvcd4hv3hj44	39	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	39	3	deterministic	deterministic	JJ
work_ope6navdjndnnebvcd4hv3hj44	39	4	nature	nature	NN
work_ope6navdjndnnebvcd4hv3hj44	39	5	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	39	6	g	g	NN
work_ope6navdjndnnebvcd4hv3hj44	39	7	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	39	8	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	39	9	can	can	MD
work_ope6navdjndnnebvcd4hv3hj44	39	10	use	use	VB
work_ope6navdjndnnebvcd4hv3hj44	39	11	an	an	DT
work_ope6navdjndnnebvcd4hv3hj44	39	12	alternative	alternative	JJ
work_ope6navdjndnnebvcd4hv3hj44	39	13	process	process	NN
work_ope6navdjndnnebvcd4hv3hj44	39	14	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	39	15	obtaining	obtain	VBG
work_ope6navdjndnnebvcd4hv3hj44	39	16	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	39	17	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	40	1	More	more	RBR
work_ope6navdjndnnebvcd4hv3hj44	40	2	specifically	specifically	RB
work_ope6navdjndnnebvcd4hv3hj44	40	3	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	40	4	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	40	5	can	can	MD
work_ope6navdjndnnebvcd4hv3hj44	40	6	build	build	VB
work_ope6navdjndnnebvcd4hv3hj44	40	7	an	an	DT
work_ope6navdjndnnebvcd4hv3hj44	40	8	alternative	alternative	JJ
work_ope6navdjndnnebvcd4hv3hj44	40	9	data	datum	NNS
work_ope6navdjndnnebvcd4hv3hj44	40	10	set	set	NN
work_ope6navdjndnnebvcd4hv3hj44	40	11	Dc	Dc	NNP
work_ope6navdjndnnebvcd4hv3hj44	40	12	¼	¼	IN
work_ope6navdjndnnebvcd4hv3hj44	40	13	xi	xi	NNP
work_ope6navdjndnnebvcd4hv3hj44	40	14	;	;	:
work_ope6navdjndnnebvcd4hv3hj44	40	15	g	g	NNP
work_ope6navdjndnnebvcd4hv3hj44	40	16	Yð	Yð	NNP
work_ope6navdjndnnebvcd4hv3hj44	40	17	Þh	Þh	NNP
work_ope6navdjndnnebvcd4hv3hj44	40	18	ini¼1	ini¼1	CD
work_ope6navdjndnnebvcd4hv3hj44	40	19	�	�	NNP
work_ope6navdjndnnebvcd4hv3hj44	40	20	�	�	NNP
work_ope6navdjndnnebvcd4hv3hj44	40	21	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	40	22	where	where	WRB
work_ope6navdjndnnebvcd4hv3hj44	40	23	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	40	24	target	target	NN
work_ope6navdjndnnebvcd4hv3hj44	40	25	variable	variable	JJ
work_ope6navdjndnnebvcd4hv3hj44	40	26	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	40	27	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	40	28	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	40	29	associated	associate	VBN
work_ope6navdjndnnebvcd4hv3hj44	40	30	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	40	31	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	40	32	known	know	VBN
work_ope6navdjndnnebvcd4hv3hj44	40	33	Y	Y	NNP
work_ope6navdjndnnebvcd4hv3hj44	40	34	value	value	NN
work_ope6navdjndnnebvcd4hv3hj44	40	35	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	40	36	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	40	37	historical	historical	JJ
work_ope6navdjndnnebvcd4hv3hj44	40	38	record	record	NN
work_ope6navdjndnnebvcd4hv3hj44	40	39	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	40	40	data	datum	NNS
work_ope6navdjndnnebvcd4hv3hj44	40	41	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	41	1	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	41	2	means	mean	VBZ
work_ope6navdjndnnebvcd4hv3hj44	41	3	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	41	4	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	41	5	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	41	6	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	41	7	nominal	nominal	JJ
work_ope6navdjndnnebvcd4hv3hj44	41	8	target	target	NN
work_ope6navdjndnnebvcd4hv3hj44	41	9	variable	variable	JJ
work_ope6navdjndnnebvcd4hv3hj44	41	10	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	41	11	that	that	RB
work_ope6navdjndnnebvcd4hv3hj44	41	12	is	is	RB
work_ope6navdjndnnebvcd4hv3hj44	41	13	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	41	14	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	41	15	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	41	16	facing	face	VBG
work_ope6navdjndnnebvcd4hv3hj44	41	17	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	41	18	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	41	19	task	task	NN
work_ope6navdjndnnebvcd4hv3hj44	41	20	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	42	1	Once	once	RB
work_ope6navdjndnnebvcd4hv3hj44	42	2	again	again	RB
work_ope6navdjndnnebvcd4hv3hj44	42	3	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	42	4	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	42	5	can	can	MD
work_ope6navdjndnnebvcd4hv3hj44	42	6	use	use	VB
work_ope6navdjndnnebvcd4hv3hj44	42	7	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	42	8	standard	standard	JJ
work_ope6navdjndnnebvcd4hv3hj44	42	9	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	42	10	tool	tool	NN
work_ope6navdjndnnebvcd4hv3hj44	42	11	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	42	12	obtain	obtain	VB
work_ope6navdjndnnebvcd4hv3hj44	42	13	an	an	DT
work_ope6navdjndnnebvcd4hv3hj44	42	14	approximation	approximation	NN
work_ope6navdjndnnebvcd4hv3hj44	42	15	bc	bc	NNP
work_ope6navdjndnnebvcd4hv3hj44	42	16	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	42	17	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	42	18	unknown	unknown	JJ
work_ope6navdjndnnebvcd4hv3hj44	42	19	function	function	NN
work_ope6navdjndnnebvcd4hv3hj44	42	20	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	42	21	maps	map	VBZ
work_ope6navdjndnnebvcd4hv3hj44	42	22	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	42	23	predictors	predictor	NNS
work_ope6navdjndnnebvcd4hv3hj44	42	24	into	into	IN
work_ope6navdjndnnebvcd4hv3hj44	42	25	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	42	26	correct	correct	JJ
work_ope6navdjndnnebvcd4hv3hj44	42	27	actions/	actions/	NN
work_ope6navdjndnnebvcd4hv3hj44	42	28	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	42	29	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	43	1	Once	once	IN
work_ope6navdjndnnebvcd4hv3hj44	43	2	such	such	JJ
work_ope6navdjndnnebvcd4hv3hj44	43	3	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	43	4	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	43	5	obtained	obtain	VBN
work_ope6navdjndnnebvcd4hv3hj44	43	6	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	43	7	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	43	8	can	can	MD
work_ope6navdjndnnebvcd4hv3hj44	43	9	use	use	VB
work_ope6navdjndnnebvcd4hv3hj44	43	10	it	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	43	11	given	give	VBN
work_ope6navdjndnnebvcd4hv3hj44	43	12	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	43	13	query	query	NN
work_ope6navdjndnnebvcd4hv3hj44	43	14	case	case	NN
work_ope6navdjndnnebvcd4hv3hj44	43	15	q	q	NNP
work_ope6navdjndnnebvcd4hv3hj44	43	16	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	43	17	directly	directly	RB
work_ope6navdjndnnebvcd4hv3hj44	43	18	estimate	estimate	VB
work_ope6navdjndnnebvcd4hv3hj44	43	19	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	43	20	correct	correct	JJ
work_ope6navdjndnnebvcd4hv3hj44	43	21	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	43	22	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	43	23	applying	apply	VBG
work_ope6navdjndnnebvcd4hv3hj44	43	24	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	43	25	learned	learn	VBN
work_ope6navdjndnnebvcd4hv3hj44	43	26	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	43	27	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	43	28	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	43	29	case	case	NN
work_ope6navdjndnnebvcd4hv3hj44	43	30	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	43	31	that	that	RB
work_ope6navdjndnnebvcd4hv3hj44	43	32	is	is	RB
work_ope6navdjndnnebvcd4hv3hj44	43	33	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	43	34	q↦	q↦	NNP
work_ope6navdjndnnebvcd4hv3hj44	43	35	ĉ	ĉ	NNP
work_ope6navdjndnnebvcd4hv3hj44	43	36	qð	qð	NNP
work_ope6navdjndnnebvcd4hv3hj44	43	37	Þ	Þ	NNP
work_ope6navdjndnnebvcd4hv3hj44	43	38	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	44	1	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	44	2	means	mean	VBZ
work_ope6navdjndnnebvcd4hv3hj44	44	3	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	44	4	given	give	VBN
work_ope6navdjndnnebvcd4hv3hj44	44	5	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	44	6	description	description	NN
work_ope6navdjndnnebvcd4hv3hj44	44	7	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	44	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	44	9	current	current	JJ
work_ope6navdjndnnebvcd4hv3hj44	44	10	dynamics	dynamic	NNS
work_ope6navdjndnnebvcd4hv3hj44	44	11	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	44	12	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	44	13	price	price	NN
work_ope6navdjndnnebvcd4hv3hj44	44	14	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	44	15	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	44	16	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	44	17	use	use	VB
work_ope6navdjndnnebvcd4hv3hj44	44	18	function	function	NN
work_ope6navdjndnnebvcd4hv3hj44	44	19	ĉ	ĉ	NNP
work_ope6navdjndnnebvcd4hv3hj44	44	20	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	44	21	forecast	forecast	VB
work_ope6navdjndnnebvcd4hv3hj44	44	22	directly	directly	RB
work_ope6navdjndnnebvcd4hv3hj44	44	23	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	44	24	correct	correct	JJ
work_ope6navdjndnnebvcd4hv3hj44	44	25	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	44	26	action	action	NN
work_ope6navdjndnnebvcd4hv3hj44	44	27	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	44	28	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	44	29	context	context	NN
work_ope6navdjndnnebvcd4hv3hj44	44	30	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	45	1	Independently	independently	RB
work_ope6navdjndnnebvcd4hv3hj44	45	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	45	3	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	45	4	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	45	5	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	45	6	followed	follow	VBD
work_ope6navdjndnnebvcd4hv3hj44	45	7	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	45	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	45	9	final	final	JJ
work_ope6navdjndnnebvcd4hv3hj44	45	10	goal	goal	NN
work_ope6navdjndnnebvcd4hv3hj44	45	11	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	45	12	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	45	13	applications	application	NNS
work_ope6navdjndnnebvcd4hv3hj44	45	14	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	45	15	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	45	16	targeting	target	VBG
work_ope6navdjndnnebvcd4hv3hj44	45	17	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	45	18	always	always	RB
work_ope6navdjndnnebvcd4hv3hj44	45	19	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	45	20	make	make	VB
work_ope6navdjndnnebvcd4hv3hj44	45	21	correct	correct	JJ
work_ope6navdjndnnebvcd4hv3hj44	45	22	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	45	23	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	46	1	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	46	2	means	mean	VBZ
work_ope6navdjndnnebvcd4hv3hj44	46	3	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	46	4	whatever	whatever	WDT
work_ope6navdjndnnebvcd4hv3hj44	46	5	process	process	NN
work_ope6navdjndnnebvcd4hv3hj44	46	6	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	46	7	use	use	VBP
work_ope6navdjndnnebvcd4hv3hj44	46	8	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	46	9	reach	reach	VB
work_ope6navdjndnnebvcd4hv3hj44	46	10	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	46	11	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	46	12	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	46	13	it	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	46	14	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	46	15	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	46	16	evaluated	evaluate	VBN
work_ope6navdjndnnebvcd4hv3hj44	46	17	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	46	18	terms	term	NNS
work_ope6navdjndnnebvcd4hv3hj44	46	19	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	46	20	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	46	21	“	"	``
work_ope6navdjndnnebvcd4hv3hj44	46	22	quality	quality	NN
work_ope6navdjndnnebvcd4hv3hj44	46	23	”	"	''
work_ope6navdjndnnebvcd4hv3hj44	46	24	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	46	25	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	46	26	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	46	27	it	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	46	28	generates	generate	VBZ
work_ope6navdjndnnebvcd4hv3hj44	46	29	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	47	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	47	2	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	47	3	context	context	NN
work_ope6navdjndnnebvcd4hv3hj44	47	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	47	5	it	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	47	6	seems	seem	VBZ
work_ope6navdjndnnebvcd4hv3hj44	47	7	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	47	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	47	9	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	47	10	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	47	11	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	47	12	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	47	13	having	have	VBG
work_ope6navdjndnnebvcd4hv3hj44	47	14	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	47	15	target	target	NN
work_ope6navdjndnnebvcd4hv3hj44	47	16	variable	variable	JJ
work_ope6navdjndnnebvcd4hv3hj44	47	17	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	47	18	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	47	19	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	47	20	would	would	MD
work_ope6navdjndnnebvcd4hv3hj44	47	21	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	47	22	easier	easy	JJR
work_ope6navdjndnnebvcd4hv3hj44	47	23	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	47	24	bias	bias	VB
work_ope6navdjndnnebvcd4hv3hj44	47	25	towards	towards	IN
work_ope6navdjndnnebvcd4hv3hj44	47	26	optimal	optimal	JJ
work_ope6navdjndnnebvcd4hv3hj44	47	27	actions	action	NNS
work_ope6navdjndnnebvcd4hv3hj44	47	28	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	48	1	However	however	RB
work_ope6navdjndnnebvcd4hv3hj44	48	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	48	3	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	48	4	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	48	5	completely	completely	RB
work_ope6navdjndnnebvcd4hv3hj44	48	6	ignores	ignore	VBZ
work_ope6navdjndnnebvcd4hv3hj44	48	7	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	48	8	intermediate	intermediate	JJ
work_ope6navdjndnnebvcd4hv3hj44	48	9	numeric	numeric	JJ
work_ope6navdjndnnebvcd4hv3hj44	48	10	variable	variable	NN
work_ope6navdjndnnebvcd4hv3hj44	48	11	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	48	12	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	48	13	supposed	suppose	VBN
work_ope6navdjndnnebvcd4hv3hj44	48	14	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	48	15	influence	influence	VB
work_ope6navdjndnnebvcd4hv3hj44	48	16	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	48	17	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	48	18	though	though	IN
work_ope6navdjndnnebvcd4hv3hj44	48	19	one	one	PRP
work_ope6navdjndnnebvcd4hv3hj44	48	20	may	may	MD
work_ope6navdjndnnebvcd4hv3hj44	48	21	argue	argue	VB
work_ope6navdjndnnebvcd4hv3hj44	48	22	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	48	23	information	information	NN
work_ope6navdjndnnebvcd4hv3hj44	48	24	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	48	25	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	48	26	relationship	relationship	NN
work_ope6navdjndnnebvcd4hv3hj44	48	27	between	between	IN
work_ope6navdjndnnebvcd4hv3hj44	48	28	Y	y	NN
work_ope6navdjndnnebvcd4hv3hj44	48	29	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	48	30	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	48	31	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	48	32	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	48	33	“	"	``
work_ope6navdjndnnebvcd4hv3hj44	48	34	encoded	encode	VBN
work_ope6navdjndnnebvcd4hv3hj44	48	35	”	"	''
work_ope6navdjndnnebvcd4hv3hj44	48	36	when	when	WRB
work_ope6navdjndnnebvcd4hv3hj44	48	37	building	build	VBG
work_ope6navdjndnnebvcd4hv3hj44	48	38	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	48	39	training	training	NN
work_ope6navdjndnnebvcd4hv3hj44	48	40	set	set	VBN
work_ope6navdjndnnebvcd4hv3hj44	48	41	Dc	Dc	NNP
work_ope6navdjndnnebvcd4hv3hj44	48	42	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	48	43	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	48	44	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	48	45	target	target	NN
work_ope6navdjndnnebvcd4hv3hj44	48	46	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	48	47	values	value	NNS
work_ope6navdjndnnebvcd4hv3hj44	48	48	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	48	49	g(Yi	g(Yi	NNP
work_ope6navdjndnnebvcd4hv3hj44	48	50	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	48	51	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	49	1	On	on	IN
work_ope6navdjndnnebvcd4hv3hj44	49	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	49	3	other	other	JJ
work_ope6navdjndnnebvcd4hv3hj44	49	4	hand	hand	NN
work_ope6navdjndnnebvcd4hv3hj44	49	5	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	49	6	although	although	IN
work_ope6navdjndnnebvcd4hv3hj44	49	7	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	49	8	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	49	9	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	49	10	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	49	11	focused	focus	VBN
work_ope6navdjndnnebvcd4hv3hj44	49	12	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	49	13	obtaining	obtain	VBG
work_ope6navdjndnnebvcd4hv3hj44	49	14	accurate	accurate	JJ
work_ope6navdjndnnebvcd4hv3hj44	49	15	predictions	prediction	NNS
work_ope6navdjndnnebvcd4hv3hj44	49	16	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	49	17	Y	Y	NNP
work_ope6navdjndnnebvcd4hv3hj44	49	18	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	49	19	it	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	49	20	completely	completely	RB
work_ope6navdjndnnebvcd4hv3hj44	49	21	ignores	ignore	VBZ
work_ope6navdjndnnebvcd4hv3hj44	49	22	questions	question	NNS
work_ope6navdjndnnebvcd4hv3hj44	49	23	like	like	IN
work_ope6navdjndnnebvcd4hv3hj44	49	24	eventual	eventual	JJ
work_ope6navdjndnnebvcd4hv3hj44	49	25	different	different	JJ
work_ope6navdjndnnebvcd4hv3hj44	49	26	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	49	27	/	/	SYM
work_ope6navdjndnnebvcd4hv3hj44	49	28	benefits	benefit	NNS
work_ope6navdjndnnebvcd4hv3hj44	49	29	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	49	30	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	49	31	different	different	JJ
work_ope6navdjndnnebvcd4hv3hj44	49	32	possible	possible	JJ
work_ope6navdjndnnebvcd4hv3hj44	49	33	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	49	34	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	49	35	could	could	MD
work_ope6navdjndnnebvcd4hv3hj44	49	36	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	49	37	easily	easily	RB
work_ope6navdjndnnebvcd4hv3hj44	49	38	encoded	encode	VBN
work_ope6navdjndnnebvcd4hv3hj44	49	39	into	into	IN
work_ope6navdjndnnebvcd4hv3hj44	49	40	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	49	41	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	49	42	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	49	43	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	50	1	All	all	PDT
work_ope6navdjndnnebvcd4hv3hj44	50	2	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	50	3	potential	potential	JJ
work_ope6navdjndnnebvcd4hv3hj44	50	4	trade‐offs	trade‐off	NNS
work_ope6navdjndnnebvcd4hv3hj44	50	5	motivate	motivate	VBP
work_ope6navdjndnnebvcd4hv3hj44	50	6	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	50	7	current	current	JJ
work_ope6navdjndnnebvcd4hv3hj44	50	8	study	study	NN
work_ope6navdjndnnebvcd4hv3hj44	50	9	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	51	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	51	2	main	main	JJ
work_ope6navdjndnnebvcd4hv3hj44	51	3	goal	goal	NN
work_ope6navdjndnnebvcd4hv3hj44	51	4	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	51	5	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	51	6	paper	paper	NN
work_ope6navdjndnnebvcd4hv3hj44	51	7	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	51	8	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	51	9	compare	compare	VB
work_ope6navdjndnnebvcd4hv3hj44	51	10	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	51	11	two	two	CD
work_ope6navdjndnnebvcd4hv3hj44	51	12	approaches	approach	NNS
work_ope6navdjndnnebvcd4hv3hj44	51	13	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	51	14	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	51	15	context	context	NN
work_ope6navdjndnnebvcd4hv3hj44	51	16	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	51	17	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	51	18	markets	market	NNS
work_ope6navdjndnnebvcd4hv3hj44	51	19	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	52	1	3	3	CD
work_ope6navdjndnnebvcd4hv3hj44	52	2	|	|	NNP
work_ope6navdjndnnebvcd4hv3hj44	52	3	MATERIAL	MATERIAL	NNS
work_ope6navdjndnnebvcd4hv3hj44	52	4	AND	and	CC
work_ope6navdjndnnebvcd4hv3hj44	52	5	METHODS	methods	JJ
work_ope6navdjndnnebvcd4hv3hj44	52	6	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	52	7	section	section	NN
work_ope6navdjndnnebvcd4hv3hj44	52	8	describes	describe	VBZ
work_ope6navdjndnnebvcd4hv3hj44	52	9	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	52	10	main	main	JJ
work_ope6navdjndnnebvcd4hv3hj44	52	11	issues	issue	NNS
work_ope6navdjndnnebvcd4hv3hj44	52	12	involved	involve	VBN
work_ope6navdjndnnebvcd4hv3hj44	52	13	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	52	14	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	52	15	experimental	experimental	JJ
work_ope6navdjndnnebvcd4hv3hj44	52	16	comparison	comparison	NN
work_ope6navdjndnnebvcd4hv3hj44	52	17	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	52	18	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	52	19	carry	carry	VB
work_ope6navdjndnnebvcd4hv3hj44	52	20	out	out	RP
work_ope6navdjndnnebvcd4hv3hj44	52	21	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	52	22	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	52	23	goal	goal	NN
work_ope6navdjndnnebvcd4hv3hj44	52	24	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	52	25	comparing	compare	VBG
work_ope6navdjndnnebvcd4hv3hj44	52	26	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	52	27	two	two	CD
work_ope6navdjndnnebvcd4hv3hj44	52	28	possible	possible	JJ
work_ope6navdjndnnebvcd4hv3hj44	52	29	approaches	approach	NNS
work_ope6navdjndnnebvcd4hv3hj44	52	30	described	describe	VBN
work_ope6navdjndnnebvcd4hv3hj44	52	31	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	52	32	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	52	33	previous	previous	JJ
work_ope6navdjndnnebvcd4hv3hj44	52	34	section	section	NN
work_ope6navdjndnnebvcd4hv3hj44	52	35	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	53	1	3.1	3.1	CD
work_ope6navdjndnnebvcd4hv3hj44	53	2	|	|	CD
work_ope6navdjndnnebvcd4hv3hj44	53	3	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	53	4	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	53	5	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	53	6	problem	problem	NN
work_ope6navdjndnnebvcd4hv3hj44	53	7	addressed	address	VBD
work_ope6navdjndnnebvcd4hv3hj44	53	8	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	53	9	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	53	10	paper	paper	NN
work_ope6navdjndnnebvcd4hv3hj44	53	11	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	53	12	very	very	RB
work_ope6navdjndnnebvcd4hv3hj44	53	13	common	common	JJ
work_ope6navdjndnnebvcd4hv3hj44	53	14	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	53	15	automatic	automatic	JJ
work_ope6navdjndnnebvcd4hv3hj44	53	16	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	53	17	systems	system	NNS
work_ope6navdjndnnebvcd4hv3hj44	53	18	where	where	WRB
work_ope6navdjndnnebvcd4hv3hj44	53	19	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	53	20	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	53	21	based	base	VBN
work_ope6navdjndnnebvcd4hv3hj44	53	22	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	53	23	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	53	24	forecasts	forecast	NNS
work_ope6navdjndnnebvcd4hv3hj44	53	25	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	53	26	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	53	27	prediction	prediction	NN
work_ope6navdjndnnebvcd4hv3hj44	53	28	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	53	29	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	54	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	54	2	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	54	3	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	54	4	open	open	VB
work_ope6navdjndnnebvcd4hv3hj44	54	5	or	or	CC
work_ope6navdjndnnebvcd4hv3hj44	54	6	close	close	VB
work_ope6navdjndnnebvcd4hv3hj44	54	7	short	short	JJ
work_ope6navdjndnnebvcd4hv3hj44	54	8	/	/	SYM
work_ope6navdjndnnebvcd4hv3hj44	54	9	long	long	JJ
work_ope6navdjndnnebvcd4hv3hj44	54	10	positions	position	NNS
work_ope6navdjndnnebvcd4hv3hj44	54	11	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	54	12	typically	typically	RB
work_ope6navdjndnnebvcd4hv3hj44	54	13	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	54	14	result	result	NN
work_ope6navdjndnnebvcd4hv3hj44	54	15	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	54	16	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	54	17	deterministic	deterministic	JJ
work_ope6navdjndnnebvcd4hv3hj44	54	18	mapping	mapping	NN
work_ope6navdjndnnebvcd4hv3hj44	54	19	from	from	IN
work_ope6navdjndnnebvcd4hv3hj44	54	20	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	54	21	predicted	predict	VBN
work_ope6navdjndnnebvcd4hv3hj44	54	22	prices	price	NNS
work_ope6navdjndnnebvcd4hv3hj44	54	23	variation	variation	NN
work_ope6navdjndnnebvcd4hv3hj44	54	24	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	55	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	55	2	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	55	3	experiments	experiment	NNS
work_ope6navdjndnnebvcd4hv3hj44	55	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	55	5	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	55	6	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	55	7	used	use	VBN
work_ope6navdjndnnebvcd4hv3hj44	55	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	55	9	assets	asset	NNS
work_ope6navdjndnnebvcd4hv3hj44	55	10	prices	price	NNS
work_ope6navdjndnnebvcd4hv3hj44	55	11	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	55	12	12	12	CD
work_ope6navdjndnnebvcd4hv3hj44	55	13	companies	company	NNS
work_ope6navdjndnnebvcd4hv3hj44	55	14	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	56	1	Each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	56	2	data	data	NN
work_ope6navdjndnnebvcd4hv3hj44	56	3	set	set	NN
work_ope6navdjndnnebvcd4hv3hj44	56	4	has	have	VBZ
work_ope6navdjndnnebvcd4hv3hj44	56	5	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	56	6	minimum	minimum	NN
work_ope6navdjndnnebvcd4hv3hj44	56	7	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	56	8	7	7	CD
work_ope6navdjndnnebvcd4hv3hj44	56	9	years	year	NNS
work_ope6navdjndnnebvcd4hv3hj44	56	10	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	56	11	daily	daily	JJ
work_ope6navdjndnnebvcd4hv3hj44	56	12	data	datum	NNS
work_ope6navdjndnnebvcd4hv3hj44	56	13	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	56	14	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	56	15	maximum	maximum	NN
work_ope6navdjndnnebvcd4hv3hj44	56	16	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	56	17	30	30	CD
work_ope6navdjndnnebvcd4hv3hj44	56	18	years	year	NNS
work_ope6navdjndnnebvcd4hv3hj44	56	19	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	57	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	57	2	order	order	NN
work_ope6navdjndnnebvcd4hv3hj44	57	3	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	57	4	simplify	simplify	VB
work_ope6navdjndnnebvcd4hv3hj44	57	5	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	57	6	study	study	NN
work_ope6navdjndnnebvcd4hv3hj44	57	7	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	57	8	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	57	9	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	57	10	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	57	11	work-	work-	JJ
work_ope6navdjndnnebvcd4hv3hj44	57	12	ing	e	VBG
work_ope6navdjndnnebvcd4hv3hj44	57	13	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	57	14	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	57	15	1‐day	1‐day	CD
work_ope6navdjndnnebvcd4hv3hj44	57	16	horizon	horizon	NN
work_ope6navdjndnnebvcd4hv3hj44	57	17	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	57	18	that	that	RB
work_ope6navdjndnnebvcd4hv3hj44	57	19	is	is	RB
work_ope6navdjndnnebvcd4hv3hj44	57	20	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	57	21	take	take	VB
work_ope6navdjndnnebvcd4hv3hj44	57	22	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	57	23	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	57	24	based	base	VBN
work_ope6navdjndnnebvcd4hv3hj44	57	25	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	57	26	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	57	27	forecasts	forecast	NNS
work_ope6navdjndnnebvcd4hv3hj44	57	28	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	57	29	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	57	30	assets	asset	NNS
work_ope6navdjndnnebvcd4hv3hj44	57	31	variation	variation	NN
work_ope6navdjndnnebvcd4hv3hj44	57	32	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	57	33	1	1	CD
work_ope6navdjndnnebvcd4hv3hj44	57	34	day	day	NN
work_ope6navdjndnnebvcd4hv3hj44	57	35	ahead	ahead	RB
work_ope6navdjndnnebvcd4hv3hj44	57	36	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	58	1	Moreover	moreover	RB
work_ope6navdjndnnebvcd4hv3hj44	58	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	58	3	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	58	4	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	58	5	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	58	6	working	work	VBG
work_ope6navdjndnnebvcd4hv3hj44	58	7	exclusively	exclusively	RB
work_ope6navdjndnnebvcd4hv3hj44	58	8	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	58	9	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	58	10	closing	close	VBG
work_ope6navdjndnnebvcd4hv3hj44	58	11	prices	price	NNS
work_ope6navdjndnnebvcd4hv3hj44	58	12	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	58	13	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	58	14	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	58	15	session	session	NN
work_ope6navdjndnnebvcd4hv3hj44	58	16	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	58	17	that	that	RB
work_ope6navdjndnnebvcd4hv3hj44	58	18	is	is	RB
work_ope6navdjndnnebvcd4hv3hj44	58	19	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	58	20	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	58	21	assume	assume	VBP
work_ope6navdjndnnebvcd4hv3hj44	58	22	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	58	23	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	58	24	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	58	25	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	58	26	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	58	27	made	make	VBN
work_ope6navdjndnnebvcd4hv3hj44	58	28	after	after	IN
work_ope6navdjndnnebvcd4hv3hj44	58	29	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	58	30	markets	market	NNS
work_ope6navdjndnnebvcd4hv3hj44	58	31	close	close	RB
work_ope6navdjndnnebvcd4hv3hj44	58	32	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	59	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	59	2	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	59	3	function	function	NN
work_ope6navdjndnnebvcd4hv3hj44	59	4	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	59	5	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	59	6	application	application	NN
work_ope6navdjndnnebvcd4hv3hj44	59	7	receives	receive	VBZ
work_ope6navdjndnnebvcd4hv3hj44	59	8	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	59	9	input	input	NN
work_ope6navdjndnnebvcd4hv3hj44	59	10	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	59	11	forecast	forecast	NN
work_ope6navdjndnnebvcd4hv3hj44	59	12	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	59	13	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	59	14	daily	daily	JJ
work_ope6navdjndnnebvcd4hv3hj44	59	15	variation	variation	NN
work_ope6navdjndnnebvcd4hv3hj44	59	16	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	59	17	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	59	18	assets	asset	NNS
work_ope6navdjndnnebvcd4hv3hj44	59	19	closing	close	VBG
work_ope6navdjndnnebvcd4hv3hj44	59	20	prices	price	NNS
work_ope6navdjndnnebvcd4hv3hj44	59	21	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	59	22	returns	return	VBZ
work_ope6navdjndnnebvcd4hv3hj44	59	23	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	59	24	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	59	25	action	action	NN
work_ope6navdjndnnebvcd4hv3hj44	59	26	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	60	1	We	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	60	2	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	60	3	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	60	4	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	60	5	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	60	6	following	follow	VBG
work_ope6navdjndnnebvcd4hv3hj44	60	7	function	function	NN
work_ope6navdjndnnebvcd4hv3hj44	60	8	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	60	9	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	60	10	experiments	experiment	NNS
work_ope6navdjndnnebvcd4hv3hj44	60	11	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	60	12	g	g	LS
work_ope6navdjndnnebvcd4hv3hj44	60	13	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	60	14	ℝ→A	ℝ→A	NNP
work_ope6navdjndnnebvcd4hv3hj44	60	15	¼	¼	NNP
work_ope6navdjndnnebvcd4hv3hj44	60	16	hold	hold	VB
work_ope6navdjndnnebvcd4hv3hj44	60	17	;	;	:
work_ope6navdjndnnebvcd4hv3hj44	60	18	buy	buy	VBP
work_ope6navdjndnnebvcd4hv3hj44	60	19	;	;	:
work_ope6navdjndnnebvcd4hv3hj44	60	20	sellf	sellf	NNP
work_ope6navdjndnnebvcd4hv3hj44	60	21	g	g	NNP
work_ope6navdjndnnebvcd4hv3hj44	60	22	Y↦	Y↦	NNP
work_ope6navdjndnnebvcd4hv3hj44	60	23	buy	buy	VBP
work_ope6navdjndnnebvcd4hv3hj44	60	24	;	;	:
work_ope6navdjndnnebvcd4hv3hj44	60	25	Y>0:02	Y>0:02	NNP
work_ope6navdjndnnebvcd4hv3hj44	60	26	sell	sell	VBP
work_ope6navdjndnnebvcd4hv3hj44	60	27	;	;	:
work_ope6navdjndnnebvcd4hv3hj44	60	28	Y<−0:02	y<−0:02	ADD
work_ope6navdjndnnebvcd4hv3hj44	60	29	hold	hold	VBP
work_ope6navdjndnnebvcd4hv3hj44	60	30	;	;	:
work_ope6navdjndnnebvcd4hv3hj44	60	31	other	other	JJ
work_ope6navdjndnnebvcd4hv3hj44	60	32	cases	case	NNS
work_ope6navdjndnnebvcd4hv3hj44	60	33	8	8	CD
work_ope6navdjndnnebvcd4hv3hj44	60	34	>	>	XX
work_ope6navdjndnnebvcd4hv3hj44	60	35	>	>	XX
work_ope6navdjndnnebvcd4hv3hj44	60	36	<	<	XX
work_ope6navdjndnnebvcd4hv3hj44	60	37	>	>	XX
work_ope6navdjndnnebvcd4hv3hj44	60	38	>	>	XX
work_ope6navdjndnnebvcd4hv3hj44	60	39	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	60	40	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	60	41	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	60	42	means	mean	VBZ
work_ope6navdjndnnebvcd4hv3hj44	60	43	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	60	44	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	60	45	assuming	assume	VBG
work_ope6navdjndnnebvcd4hv3hj44	60	46	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	60	47	any	any	DT
work_ope6navdjndnnebvcd4hv3hj44	60	48	variation	variation	NN
work_ope6navdjndnnebvcd4hv3hj44	60	49	above	above	IN
work_ope6navdjndnnebvcd4hv3hj44	60	50	2	2	CD
work_ope6navdjndnnebvcd4hv3hj44	60	51	%	%	NN
work_ope6navdjndnnebvcd4hv3hj44	60	52	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	60	53	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	60	54	sufficient	sufficient	JJ
work_ope6navdjndnnebvcd4hv3hj44	60	55	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	60	56	cover	cover	VB
work_ope6navdjndnnebvcd4hv3hj44	60	57	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	60	58	transaction	transaction	NN
work_ope6navdjndnnebvcd4hv3hj44	60	59	costs	cost	NNS
work_ope6navdjndnnebvcd4hv3hj44	60	60	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	60	61	still	still	RB
work_ope6navdjndnnebvcd4hv3hj44	60	62	obtain	obtain	VB
work_ope6navdjndnnebvcd4hv3hj44	60	63	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	60	64	profit	profit	NN
work_ope6navdjndnnebvcd4hv3hj44	60	65	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	61	1	Concerning	concern	VBG
work_ope6navdjndnnebvcd4hv3hj44	61	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	61	3	data	datum	NNS
work_ope6navdjndnnebvcd4hv3hj44	61	4	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	61	5	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	61	6	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	61	7	used	use	VBN
work_ope6navdjndnnebvcd4hv3hj44	61	8	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	61	9	predictors	predictor	NNS
work_ope6navdjndnnebvcd4hv3hj44	61	10	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	61	11	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	61	12	forecasting	forecasting	NN
work_ope6navdjndnnebvcd4hv3hj44	61	13	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	61	14	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	61	15	either	either	CC
work_ope6navdjndnnebvcd4hv3hj44	61	16	forecasting	forecast	VBG
work_ope6navdjndnnebvcd4hv3hj44	61	17	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	61	18	prices	price	NNS
work_ope6navdjndnnebvcd4hv3hj44	61	19	variation	variation	NN
work_ope6navdjndnnebvcd4hv3hj44	61	20	[	[	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	61	21	Y	y	NN
work_ope6navdjndnnebvcd4hv3hj44	61	22	]	]	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	61	23	or	or	CC
work_ope6navdjndnnebvcd4hv3hj44	61	24	directly	directly	RB
work_ope6navdjndnnebvcd4hv3hj44	61	25	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	61	26	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	61	27	action	action	NN
work_ope6navdjndnnebvcd4hv3hj44	61	28	[	[	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	61	29	A	a	NN
work_ope6navdjndnnebvcd4hv3hj44	61	30	]	]	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	61	31	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	61	32	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	61	33	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	61	34	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	61	35	used	use	VBN
work_ope6navdjndnnebvcd4hv3hj44	61	36	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	61	37	price	price	NN
work_ope6navdjndnnebvcd4hv3hj44	61	38	variations	variation	NNS
work_ope6navdjndnnebvcd4hv3hj44	61	39	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	61	40	recent	recent	JJ
work_ope6navdjndnnebvcd4hv3hj44	61	41	days	day	NNS
work_ope6navdjndnnebvcd4hv3hj44	61	42	as	as	RB
work_ope6navdjndnnebvcd4hv3hj44	61	43	well	well	RB
work_ope6navdjndnnebvcd4hv3hj44	61	44	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	61	45	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	61	46	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	61	47	indicators	indicator	NNS
work_ope6navdjndnnebvcd4hv3hj44	61	48	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	61	49	such	such	JJ
work_ope6navdjndnnebvcd4hv3hj44	61	50	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	61	51	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	61	52	annual	annual	JJ
work_ope6navdjndnnebvcd4hv3hj44	61	53	volatility	volatility	NN
work_ope6navdjndnnebvcd4hv3hj44	61	54	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	61	55	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	61	56	Welles	Welles	NNP
work_ope6navdjndnnebvcd4hv3hj44	61	57	Wilder	Wilder	NNP
work_ope6navdjndnnebvcd4hv3hj44	61	58	style	style	NN
work_ope6navdjndnnebvcd4hv3hj44	61	59	moving	move	VBG
work_ope6navdjndnnebvcd4hv3hj44	61	60	average	average	JJ
work_ope6navdjndnnebvcd4hv3hj44	61	61	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	61	62	Wilder	Wilder	NNP
work_ope6navdjndnnebvcd4hv3hj44	61	63	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	61	64	1978	1978	CD
work_ope6navdjndnnebvcd4hv3hj44	61	65	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	61	66	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	61	67	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	61	68	stop	stop	NN
work_ope6navdjndnnebvcd4hv3hj44	61	69	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	61	70	reverse	reverse	JJ
work_ope6navdjndnnebvcd4hv3hj44	61	71	point	point	NN
work_ope6navdjndnnebvcd4hv3hj44	61	72	indicator	indicator	NN
work_ope6navdjndnnebvcd4hv3hj44	61	73	developed	develop	VBN
work_ope6navdjndnnebvcd4hv3hj44	61	74	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	61	75	J.	J.	NNP
work_ope6navdjndnnebvcd4hv3hj44	61	76	Welles	Welles	NNP
work_ope6navdjndnnebvcd4hv3hj44	61	77	Wilder	Wilder	NNP
work_ope6navdjndnnebvcd4hv3hj44	61	78	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	61	79	Wilder	Wilder	NNP
work_ope6navdjndnnebvcd4hv3hj44	61	80	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	61	81	1978	1978	CD
work_ope6navdjndnnebvcd4hv3hj44	61	82	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	61	83	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	61	84	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	61	85	usual	usual	JJ
work_ope6navdjndnnebvcd4hv3hj44	61	86	moving	moving	NN
work_ope6navdjndnnebvcd4hv3hj44	61	87	average	average	NN
work_ope6navdjndnnebvcd4hv3hj44	61	88	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	61	89	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	61	90	others	other	NNS
work_ope6navdjndnnebvcd4hv3hj44	61	91	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	62	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	62	2	goal	goal	NN
work_ope6navdjndnnebvcd4hv3hj44	62	3	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	62	4	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	62	5	selection	selection	NN
work_ope6navdjndnnebvcd4hv3hj44	62	6	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	62	7	predictors	predictor	NNS
work_ope6navdjndnnebvcd4hv3hj44	62	8	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	62	9	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	62	10	provide	provide	VB
work_ope6navdjndnnebvcd4hv3hj44	62	11	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	62	12	forecasting	forecasting	NN
work_ope6navdjndnnebvcd4hv3hj44	62	13	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	62	14	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	62	15	useful	useful	JJ
work_ope6navdjndnnebvcd4hv3hj44	62	16	information	information	NN
work_ope6navdjndnnebvcd4hv3hj44	62	17	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	62	18	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	62	19	recent	recent	JJ
work_ope6navdjndnnebvcd4hv3hj44	62	20	dynamics	dynamic	NNS
work_ope6navdjndnnebvcd4hv3hj44	62	21	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	62	22	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	62	23	assets	asset	NNS
work_ope6navdjndnnebvcd4hv3hj44	62	24	prices	price	NNS
work_ope6navdjndnnebvcd4hv3hj44	62	25	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	63	1	BAÍA	BAÍA	NNS
work_ope6navdjndnnebvcd4hv3hj44	63	2	AND	and	CC
work_ope6navdjndnnebvcd4hv3hj44	63	3	TORGO	torgo	NN
work_ope6navdjndnnebvcd4hv3hj44	63	4	3	3	CD
work_ope6navdjndnnebvcd4hv3hj44	63	5	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	63	6	13	13	CD
work_ope6navdjndnnebvcd4hv3hj44	63	7	Regarding	regard	VBG
work_ope6navdjndnnebvcd4hv3hj44	63	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	63	9	performance	performance	NN
work_ope6navdjndnnebvcd4hv3hj44	63	10	metrics	metric	NNS
work_ope6navdjndnnebvcd4hv3hj44	63	11	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	63	12	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	63	13	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	63	14	use	use	VB
work_ope6navdjndnnebvcd4hv3hj44	63	15	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	63	16	compare	compare	VB
work_ope6navdjndnnebvcd4hv3hj44	63	17	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	63	18	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	63	19	;	;	:
work_ope6navdjndnnebvcd4hv3hj44	63	20	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	63	21	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	63	22	use	use	VB
work_ope6navdjndnnebvcd4hv3hj44	63	23	two	two	CD
work_ope6navdjndnnebvcd4hv3hj44	63	24	metrics	metric	NNS
work_ope6navdjndnnebvcd4hv3hj44	63	25	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	63	26	capture	capture	VBP
work_ope6navdjndnnebvcd4hv3hj44	63	27	important	important	JJ
work_ope6navdjndnnebvcd4hv3hj44	63	28	properties	property	NNS
work_ope6navdjndnnebvcd4hv3hj44	63	29	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	63	30	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	63	31	economic	economic	JJ
work_ope6navdjndnnebvcd4hv3hj44	63	32	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	63	33	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	63	34	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	63	35	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	63	36	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	63	37	made	make	VBN
work_ope6navdjndnnebvcd4hv3hj44	63	38	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	63	39	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	63	40	alterna-	alterna-	NN
work_ope6navdjndnnebvcd4hv3hj44	63	41	tive	tive	JJ
work_ope6navdjndnnebvcd4hv3hj44	63	42	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	63	43	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	64	1	More	more	RBR
work_ope6navdjndnnebvcd4hv3hj44	64	2	specifically	specifically	RB
work_ope6navdjndnnebvcd4hv3hj44	64	3	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	64	4	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	64	5	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	64	6	use	use	VB
work_ope6navdjndnnebvcd4hv3hj44	64	7	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	64	8	Sharpe	Sharpe	NNP
work_ope6navdjndnnebvcd4hv3hj44	64	9	Ratio	Ratio	NNP
work_ope6navdjndnnebvcd4hv3hj44	64	10	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	64	11	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	64	12	mea-	mea-	NN
work_ope6navdjndnnebvcd4hv3hj44	64	13	sure	sure	JJ
work_ope6navdjndnnebvcd4hv3hj44	64	14	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	64	15	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	64	16	risk	risk	NN
work_ope6navdjndnnebvcd4hv3hj44	64	17	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	64	18	volatility	volatility	NN
work_ope6navdjndnnebvcd4hv3hj44	64	19	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	64	20	associated	associate	VBN
work_ope6navdjndnnebvcd4hv3hj44	64	21	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	64	22	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	64	23	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	64	24	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	64	25	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	64	26	percentage	percentage	NN
work_ope6navdjndnnebvcd4hv3hj44	64	27	total	total	NN
work_ope6navdjndnnebvcd4hv3hj44	64	28	return	return	NN
work_ope6navdjndnnebvcd4hv3hj44	64	29	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	64	30	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	64	31	measure	measure	NN
work_ope6navdjndnnebvcd4hv3hj44	64	32	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	64	33	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	64	34	overall	overall	JJ
work_ope6navdjndnnebvcd4hv3hj44	64	35	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	64	36	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	64	37	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	64	38	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	64	39	actions	action	NNS
work_ope6navdjndnnebvcd4hv3hj44	64	40	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	65	1	We	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	65	2	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	65	3	also	also	RB
work_ope6navdjndnnebvcd4hv3hj44	65	4	consider	consider	VB
work_ope6navdjndnnebvcd4hv3hj44	65	5	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	65	6	Macro	Macro	NNP
work_ope6navdjndnnebvcd4hv3hj44	65	7	versions	version	NNS
work_ope6navdjndnnebvcd4hv3hj44	65	8	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	65	9	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	65	10	Recall	Recall	NNP
work_ope6navdjndnnebvcd4hv3hj44	65	11	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	65	12	Precision	Precision	NNP
work_ope6navdjndnnebvcd4hv3hj44	65	13	metrics	metric	NNS
work_ope6navdjndnnebvcd4hv3hj44	65	14	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	65	15	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	65	16	buy	buy	VB
work_ope6navdjndnnebvcd4hv3hj44	65	17	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	65	18	sell	sell	VB
work_ope6navdjndnnebvcd4hv3hj44	65	19	signals	signal	NNS
work_ope6navdjndnnebvcd4hv3hj44	65	20	combined	combine	VBN
work_ope6navdjndnnebvcd4hv3hj44	65	21	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	66	1	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	66	2	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	66	3	allow	allow	VB
work_ope6navdjndnnebvcd4hv3hj44	66	4	us	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	66	5	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	66	6	analyze	analyze	VB
work_ope6navdjndnnebvcd4hv3hj44	66	7	how	how	WRB
work_ope6navdjndnnebvcd4hv3hj44	66	8	many	many	JJ
work_ope6navdjndnnebvcd4hv3hj44	66	9	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	66	10	opportunities	opportunity	NNS
work_ope6navdjndnnebvcd4hv3hj44	66	11	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	66	12	being	be	VBG
work_ope6navdjndnnebvcd4hv3hj44	66	13	detected	detect	VBN
work_ope6navdjndnnebvcd4hv3hj44	66	14	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	66	15	Recall	recall	NN
work_ope6navdjndnnebvcd4hv3hj44	66	16	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	66	17	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	66	18	how	how	WRB
work_ope6navdjndnnebvcd4hv3hj44	66	19	accurate	accurate	JJ
work_ope6navdjndnnebvcd4hv3hj44	66	20	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	66	21	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	66	22	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	66	23	regarding	regard	VBG
work_ope6navdjndnnebvcd4hv3hj44	66	24	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	66	25	prediction	prediction	NN
work_ope6navdjndnnebvcd4hv3hj44	66	26	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	66	27	every	every	DT
work_ope6navdjndnnebvcd4hv3hj44	66	28	non‐hold	non‐hold	NN
work_ope6navdjndnnebvcd4hv3hj44	66	29	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	66	30	action	action	NN
work_ope6navdjndnnebvcd4hv3hj44	66	31	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	66	32	Precision	Precision	NNP
work_ope6navdjndnnebvcd4hv3hj44	66	33	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	66	34	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	66	35	respectively	respectively	RB
work_ope6navdjndnnebvcd4hv3hj44	66	36	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	67	1	To	to	TO
work_ope6navdjndnnebvcd4hv3hj44	67	2	make	make	VB
work_ope6navdjndnnebvcd4hv3hj44	67	3	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	67	4	experiments	experiment	NNS
work_ope6navdjndnnebvcd4hv3hj44	67	5	more	more	RBR
work_ope6navdjndnnebvcd4hv3hj44	67	6	realistic	realistic	JJ
work_ope6navdjndnnebvcd4hv3hj44	67	7	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	67	8	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	67	9	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	67	10	consider	consider	VB
work_ope6navdjndnnebvcd4hv3hj44	67	11	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	67	12	transaction	transaction	NN
work_ope6navdjndnnebvcd4hv3hj44	67	13	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	67	14	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	67	15	2	2	CD
work_ope6navdjndnnebvcd4hv3hj44	67	16	%	%	NN
work_ope6navdjndnnebvcd4hv3hj44	67	17	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	67	18	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	67	19	buy	buy	NN
work_ope6navdjndnnebvcd4hv3hj44	67	20	or	or	CC
work_ope6navdjndnnebvcd4hv3hj44	67	21	sell	sell	VB
work_ope6navdjndnnebvcd4hv3hj44	67	22	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	67	23	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	67	24	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	67	25	may	may	MD
work_ope6navdjndnnebvcd4hv3hj44	67	26	originate	originate	VB
work_ope6navdjndnnebvcd4hv3hj44	67	27	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	68	1	At	at	IN
work_ope6navdjndnnebvcd4hv3hj44	68	2	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	68	3	stage	stage	NN
work_ope6navdjndnnebvcd4hv3hj44	68	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	68	5	it	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	68	6	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	68	7	important	important	JJ
work_ope6navdjndnnebvcd4hv3hj44	68	8	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	68	9	remark	remark	VB
work_ope6navdjndnnebvcd4hv3hj44	68	10	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	68	11	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	68	12	prediction	prediction	NN
work_ope6navdjndnnebvcd4hv3hj44	68	13	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	68	14	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	68	15	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	68	16	facing	face	VBG
work_ope6navdjndnnebvcd4hv3hj44	68	17	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	68	18	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	68	19	characteristics	characteristic	NNS
work_ope6navdjndnnebvcd4hv3hj44	68	20	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	68	21	make	make	VBP
work_ope6navdjndnnebvcd4hv3hj44	68	22	them	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	68	23	particularly	particularly	RB
work_ope6navdjndnnebvcd4hv3hj44	68	24	challenging	challenge	VBG
work_ope6navdjndnnebvcd4hv3hj44	68	25	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	69	1	One	one	CD
work_ope6navdjndnnebvcd4hv3hj44	69	2	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	69	3	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	69	4	main	main	JJ
work_ope6navdjndnnebvcd4hv3hj44	69	5	hurdles	hurdle	NNS
work_ope6navdjndnnebvcd4hv3hj44	69	6	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	69	7	from	from	IN
work_ope6navdjndnnebvcd4hv3hj44	69	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	69	9	fact	fact	NN
work_ope6navdjndnnebvcd4hv3hj44	69	10	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	69	11	inter-	inter-	VBG
work_ope6navdjndnnebvcd4hv3hj44	69	12	esting	este	VBG
work_ope6navdjndnnebvcd4hv3hj44	69	13	events	event	NNS
work_ope6navdjndnnebvcd4hv3hj44	69	14	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	69	15	from	from	IN
work_ope6navdjndnnebvcd4hv3hj44	69	16	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	69	17	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	69	18	perspective	perspective	NN
work_ope6navdjndnnebvcd4hv3hj44	69	19	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	69	20	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	69	21	rare	rare	JJ
work_ope6navdjndnnebvcd4hv3hj44	69	22	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	69	23	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	69	24	mar-	mar-	NN
work_ope6navdjndnnebvcd4hv3hj44	69	25	kets	ket	NNS
work_ope6navdjndnnebvcd4hv3hj44	69	26	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	70	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	70	2	effect	effect	NN
work_ope6navdjndnnebvcd4hv3hj44	70	3	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	70	4	large	large	JJ
work_ope6navdjndnnebvcd4hv3hj44	70	5	movements	movement	NNS
work_ope6navdjndnnebvcd4hv3hj44	70	6	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	70	7	prices	price	NNS
work_ope6navdjndnnebvcd4hv3hj44	70	8	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	70	9	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	70	10	very	very	RB
work_ope6navdjndnnebvcd4hv3hj44	70	11	frequent	frequent	JJ
work_ope6navdjndnnebvcd4hv3hj44	70	12	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	71	1	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	71	2	means	mean	VBZ
work_ope6navdjndnnebvcd4hv3hj44	71	3	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	71	4	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	71	5	data	data	NN
work_ope6navdjndnnebvcd4hv3hj44	71	6	sets	set	NNS
work_ope6navdjndnnebvcd4hv3hj44	71	7	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	71	8	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	71	9	provide	provide	VB
work_ope6navdjndnnebvcd4hv3hj44	71	10	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	71	11	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	71	12	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	71	13	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	71	14	clearly	clearly	RB
work_ope6navdjndnnebvcd4hv3hj44	71	15	imbalanced	imbalance	VBN
work_ope6navdjndnnebvcd4hv3hj44	71	16	distributions	distribution	NNS
work_ope6navdjndnnebvcd4hv3hj44	71	17	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	71	18	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	71	19	target	target	NN
work_ope6navdjndnnebvcd4hv3hj44	71	20	variables	variable	NNS
work_ope6navdjndnnebvcd4hv3hj44	71	21	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	71	22	both	both	CC
work_ope6navdjndnnebvcd4hv3hj44	71	23	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	71	24	numeric	numeric	JJ
work_ope6navdjndnnebvcd4hv3hj44	71	25	percentage	percentage	NN
work_ope6navdjndnnebvcd4hv3hj44	71	26	variations	variation	NNS
work_ope6navdjndnnebvcd4hv3hj44	71	27	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	71	28	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	71	29	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	71	30	actions	action	NNS
work_ope6navdjndnnebvcd4hv3hj44	71	31	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	71	32	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	72	1	To	to	TO
work_ope6navdjndnnebvcd4hv3hj44	72	2	make	make	VB
work_ope6navdjndnnebvcd4hv3hj44	72	3	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	72	4	imbalance	imbalance	NN
work_ope6navdjndnnebvcd4hv3hj44	72	5	problem	problem	NN
work_ope6navdjndnnebvcd4hv3hj44	72	6	harder	hard	RBR
work_ope6navdjndnnebvcd4hv3hj44	72	7	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	72	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	72	9	situations	situation	NNS
work_ope6navdjndnnebvcd4hv3hj44	72	10	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	72	11	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	72	12	more	more	RBR
work_ope6navdjndnnebvcd4hv3hj44	72	13	interesting	interesting	JJ
work_ope6navdjndnnebvcd4hv3hj44	72	14	from	from	IN
work_ope6navdjndnnebvcd4hv3hj44	72	15	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	72	16	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	72	17	perspective	perspective	NN
work_ope6navdjndnnebvcd4hv3hj44	72	18	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	72	19	rare	rare	JJ
work_ope6navdjndnnebvcd4hv3hj44	72	20	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	72	21	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	72	22	data	data	NN
work_ope6navdjndnnebvcd4hv3hj44	72	23	sets	set	NNS
work_ope6navdjndnnebvcd4hv3hj44	72	24	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	72	25	which	which	WDT
work_ope6navdjndnnebvcd4hv3hj44	72	26	creates	create	VBZ
work_ope6navdjndnnebvcd4hv3hj44	72	27	difficulties	difficulty	NNS
work_ope6navdjndnnebvcd4hv3hj44	72	28	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	72	29	most	most	RBS
work_ope6navdjndnnebvcd4hv3hj44	72	30	modeling	modeling	NN
work_ope6navdjndnnebvcd4hv3hj44	72	31	techniques	technique	NNS
work_ope6navdjndnnebvcd4hv3hj44	72	32	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	73	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	73	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	73	3	next	next	JJ
work_ope6navdjndnnebvcd4hv3hj44	73	4	section	section	NN
work_ope6navdjndnnebvcd4hv3hj44	73	5	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	73	6	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	73	7	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	73	8	describe	describe	VB
work_ope6navdjndnnebvcd4hv3hj44	73	9	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	73	10	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	73	11	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	73	12	measures	measure	NNS
work_ope6navdjndnnebvcd4hv3hj44	73	13	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	73	14	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	73	15	taken	take	VBN
work_ope6navdjndnnebvcd4hv3hj44	73	16	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	73	17	alleviate	alleviate	VB
work_ope6navdjndnnebvcd4hv3hj44	73	18	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	73	19	prob-	prob-	NN
work_ope6navdjndnnebvcd4hv3hj44	73	20	lem	lem	XX
work_ope6navdjndnnebvcd4hv3hj44	73	21	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	74	1	We	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	74	2	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	74	3	conducted	conduct	VBN
work_ope6navdjndnnebvcd4hv3hj44	74	4	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	74	5	thorough	thorough	JJ
work_ope6navdjndnnebvcd4hv3hj44	74	6	analysis	analysis	NN
work_ope6navdjndnnebvcd4hv3hj44	74	7	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	74	8	test	test	VB
work_ope6navdjndnnebvcd4hv3hj44	74	9	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	74	10	impact	impact	NN
work_ope6navdjndnnebvcd4hv3hj44	74	11	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	74	12	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	74	13	measures	measure	NNS
work_ope6navdjndnnebvcd4hv3hj44	74	14	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	74	15	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	74	16	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	74	17	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	75	1	Evaluating	evaluate	VBG
work_ope6navdjndnnebvcd4hv3hj44	75	2	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	75	3	existing	exist	VBG
work_ope6navdjndnnebvcd4hv3hj44	75	4	TABLE	table	NN
work_ope6navdjndnnebvcd4hv3hj44	75	5	1	1	CD
work_ope6navdjndnnebvcd4hv3hj44	75	6	Regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	75	7	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	75	8	used	use	VBN
work_ope6navdjndnnebvcd4hv3hj44	75	9	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	75	10	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	75	11	experimental	experimental	JJ
work_ope6navdjndnnebvcd4hv3hj44	75	12	comparisons	comparison	NNS
work_ope6navdjndnnebvcd4hv3hj44	75	13	Model	Model	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	14	Variants	Variants	NNPS
work_ope6navdjndnnebvcd4hv3hj44	75	15	SVM	SVM	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	16	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	75	17	=	=	NFP
work_ope6navdjndnnebvcd4hv3hj44	75	18	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	19	1,5,10	1,5,10	CD
work_ope6navdjndnnebvcd4hv3hj44	75	20	}	}	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	75	21	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	75	22	ε	ε	LS
work_ope6navdjndnnebvcd4hv3hj44	75	23	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	75	24	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	25	0.1,0.05,0.01	0.1,0.05,0.01	CD
work_ope6navdjndnnebvcd4hv3hj44	75	26	}	}	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	75	27	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	75	28	tolerance	tolerance	VB
work_ope6navdjndnnebvcd4hv3hj44	75	29	=	=	NFP
work_ope6navdjndnnebvcd4hv3hj44	75	30	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	31	0.001,0.005},kernel	0.001,0.005},kernel	NN
work_ope6navdjndnnebvcd4hv3hj44	75	32	=	=	NFP
work_ope6navdjndnnebvcd4hv3hj44	75	33	linear	linear	JJ
work_ope6navdjndnnebvcd4hv3hj44	75	34	SVM	SVM	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	35	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	75	36	=	=	NFP
work_ope6navdjndnnebvcd4hv3hj44	75	37	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	38	1,10	1,10	CD
work_ope6navdjndnnebvcd4hv3hj44	75	39	}	}	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	75	40	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	75	41	ε	ε	LS
work_ope6navdjndnnebvcd4hv3hj44	75	42	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	75	43	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	44	0.1,0.05,0.01	0.1,0.05,0.01	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	45	}	}	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	75	46	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	75	47	degree	degree	NN
work_ope6navdjndnnebvcd4hv3hj44	75	48	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	75	49	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	50	2,3,5},kern	2,3,5},kern	CD
work_ope6navdjndnnebvcd4hv3hj44	75	51	Random	Random	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	52	Forest	Forest	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	53	ntree	ntree	NN
work_ope6navdjndnnebvcd4hv3hj44	75	54	=	=	NFP
work_ope6navdjndnnebvcd4hv3hj44	75	55	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	56	500,750,1000,2000,3000},mtry	500,750,1000,2000,3000},mtry	CD
work_ope6navdjndnnebvcd4hv3hj44	75	57	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	75	58	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	59	4,5,6	4,5,6	CD
work_ope6navdjndnnebvcd4hv3hj44	75	60	}	}	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	75	61	Trees	tree	NNS
work_ope6navdjndnnebvcd4hv3hj44	75	62	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	63	pruned	prune	VBN
work_ope6navdjndnnebvcd4hv3hj44	75	64	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	75	65	se	se	FW
work_ope6navdjndnnebvcd4hv3hj44	75	66	=	=	FW
work_ope6navdjndnnebvcd4hv3hj44	75	67	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	68	0,0.5,1,1.5,2},cp	0,0.5,1,1.5,2},cp	CD
work_ope6navdjndnnebvcd4hv3hj44	75	69	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	75	70	0	0	CD
work_ope6navdjndnnebvcd4hv3hj44	75	71	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	75	72	minsplit	minsplit	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	73	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	75	74	6	6	CD
work_ope6navdjndnnebvcd4hv3hj44	75	75	KNN	KNN	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	76	k	k	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	77	=	=	NNS
work_ope6navdjndnnebvcd4hv3hj44	75	78	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	79	1,3,5,7,11,15	1,3,5,7,11,15	CD
work_ope6navdjndnnebvcd4hv3hj44	75	80	}	}	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	75	81	NNET	nnet	NN
work_ope6navdjndnnebvcd4hv3hj44	75	82	size	size	NN
work_ope6navdjndnnebvcd4hv3hj44	75	83	=	=	NFP
work_ope6navdjndnnebvcd4hv3hj44	75	84	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	85	2,4,6},decay	2,4,6},decay	CD
work_ope6navdjndnnebvcd4hv3hj44	75	86	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	75	87	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	88	0.05,0.1,0.15	0.05,0.1,0.15	CD
work_ope6navdjndnnebvcd4hv3hj44	75	89	}	}	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	75	90	MARS	MARS	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	91	thresh	thresh	NN
work_ope6navdjndnnebvcd4hv3hj44	75	92	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	75	93	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	94	0.001,0.0005,0.002	0.001,0.0005,0.002	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	95	}	}	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	75	96	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	75	97	degree	degree	NN
work_ope6navdjndnnebvcd4hv3hj44	75	98	=	=	NFP
work_ope6navdjndnnebvcd4hv3hj44	75	99	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	100	1,2,3},minspa	1,2,3},minspa	CD
work_ope6navdjndnnebvcd4hv3hj44	75	101	AdaBoost	AdaBoost	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	102	dist	dist	NN
work_ope6navdjndnnebvcd4hv3hj44	75	103	=	=	NFP
work_ope6navdjndnnebvcd4hv3hj44	75	104	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	105	gaussian},n.trees	gaussian},n.trees	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	106	=	=	NFP
work_ope6navdjndnnebvcd4hv3hj44	75	107	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	108	10000,20000	10000,20000	CD
work_ope6navdjndnnebvcd4hv3hj44	75	109	}	}	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	75	110	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	75	111	shrinkage	shrinkage	NN
work_ope6navdjndnnebvcd4hv3hj44	75	112	=	=	NFP
work_ope6navdjndnnebvcd4hv3hj44	75	113	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	114	0.001,0.01},interaction.depth	0.001,0.01},interaction.depth	NFP
work_ope6navdjndnnebvcd4hv3hj44	75	115	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	75	116	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	117	1,2	1,2	CD
work_ope6navdjndnnebvcd4hv3hj44	75	118	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	75	119	}	}	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	75	120	SVM	SVM	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	121	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	75	122	support	support	VB
work_ope6navdjndnnebvcd4hv3hj44	75	123	vectorial	vectorial	JJ
work_ope6navdjndnnebvcd4hv3hj44	75	124	machines	machine	NNS
work_ope6navdjndnnebvcd4hv3hj44	75	125	;	;	:
work_ope6navdjndnnebvcd4hv3hj44	75	126	KNN	KNN	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	127	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	75	128	K‐nearest	K‐nearest	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	129	neighbours	neighbour	NNS
work_ope6navdjndnnebvcd4hv3hj44	75	130	;	;	:
work_ope6navdjndnnebvcd4hv3hj44	75	131	NNET	NNET	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	132	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	75	133	neur	neur	JJ
work_ope6navdjndnnebvcd4hv3hj44	75	134	TABLE	TABLE	NNS
work_ope6navdjndnnebvcd4hv3hj44	75	135	2	2	CD
work_ope6navdjndnnebvcd4hv3hj44	75	136	Classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	75	137	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	75	138	used	use	VBN
work_ope6navdjndnnebvcd4hv3hj44	75	139	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	75	140	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	75	141	experimental	experimental	JJ
work_ope6navdjndnnebvcd4hv3hj44	75	142	comparisons	comparison	NNS
work_ope6navdjndnnebvcd4hv3hj44	75	143	Model	Model	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	144	Variants	Variants	NNPS
work_ope6navdjndnnebvcd4hv3hj44	75	145	SVM	SVM	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	146	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	75	147	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	75	148	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	149	1,3,7,10},kernel	1,3,7,10},kernel	NNS
work_ope6navdjndnnebvcd4hv3hj44	75	150	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	75	151	linear	linear	JJ
work_ope6navdjndnnebvcd4hv3hj44	75	152	tolerance	tolerance	NN
work_ope6navdjndnnebvcd4hv3hj44	75	153	=	=	NFP
work_ope6navdjndnnebvcd4hv3hj44	75	154	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	155	0.001,0.005	0.001,0.005	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	156	SVM	SVM	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	157	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	75	158	=	=	NFP
work_ope6navdjndnnebvcd4hv3hj44	75	159	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	160	1,10	1,10	CD
work_ope6navdjndnnebvcd4hv3hj44	75	161	}	}	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	75	162	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	75	163	ε	ε	LS
work_ope6navdjndnnebvcd4hv3hj44	75	164	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	75	165	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	166	0.1,0.05	0.1,0.05	NFP
work_ope6navdjndnnebvcd4hv3hj44	75	167	}	}	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	75	168	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	75	169	degree	degree	NN
work_ope6navdjndnnebvcd4hv3hj44	75	170	=	=	FW
work_ope6navdjndnnebvcd4hv3hj44	75	171	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	172	2,3,4,5},kernel	2,3,4,5},kernel	CD
work_ope6navdjndnnebvcd4hv3hj44	75	173	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	75	174	p	p	NN
work_ope6navdjndnnebvcd4hv3hj44	75	175	Random	Random	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	176	Forest	Forest	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	177	ntree	ntree	NN
work_ope6navdjndnnebvcd4hv3hj44	75	178	=	=	NFP
work_ope6navdjndnnebvcd4hv3hj44	75	179	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	180	500,750,1000,2000,3000},mtry	500,750,1000,2000,3000},mtry	CD
work_ope6navdjndnnebvcd4hv3hj44	75	181	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	75	182	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	183	3,4,5	3,4,5	CD
work_ope6navdjndnnebvcd4hv3hj44	75	184	}	}	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	75	185	Trees	tree	NNS
work_ope6navdjndnnebvcd4hv3hj44	75	186	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	187	pruned	prune	VBN
work_ope6navdjndnnebvcd4hv3hj44	75	188	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	75	189	se	se	FW
work_ope6navdjndnnebvcd4hv3hj44	75	190	=	=	FW
work_ope6navdjndnnebvcd4hv3hj44	75	191	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	192	0,0.5,1,1.5,2},cp	0,0.5,1,1.5,2},cp	CD
work_ope6navdjndnnebvcd4hv3hj44	75	193	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	75	194	0	0	CD
work_ope6navdjndnnebvcd4hv3hj44	75	195	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	75	196	minsplit	minsplit	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	197	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	75	198	6	6	CD
work_ope6navdjndnnebvcd4hv3hj44	75	199	KNN	KNN	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	200	k	k	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	201	=	=	NNS
work_ope6navdjndnnebvcd4hv3hj44	75	202	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	203	1,3,5,7,11,15	1,3,5,7,11,15	CD
work_ope6navdjndnnebvcd4hv3hj44	75	204	}	}	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	75	205	NNET	nnet	NN
work_ope6navdjndnnebvcd4hv3hj44	75	206	size	size	NN
work_ope6navdjndnnebvcd4hv3hj44	75	207	=	=	NFP
work_ope6navdjndnnebvcd4hv3hj44	75	208	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	209	2,4,6},decay	2,4,6},decay	CD
work_ope6navdjndnnebvcd4hv3hj44	75	210	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	75	211	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	75	212	0.05,0.1,0.15	0.05,0.1,0.15	CD
work_ope6navdjndnnebvcd4hv3hj44	75	213	}	}	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	75	214	AdaBoost	AdaBoost	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	215	coeflearn	coeflearn	NN
work_ope6navdjndnnebvcd4hv3hj44	75	216	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	75	217	c(‘Breiman’,‘Freund’,‘Zhu	c(‘breiman’,‘freund’,‘zhu	NN
work_ope6navdjndnnebvcd4hv3hj44	75	218	’	'	''
work_ope6navdjndnnebvcd4hv3hj44	75	219	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	75	220	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	75	221	mfinal	mfinal	JJ
work_ope6navdjndnnebvcd4hv3hj44	75	222	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	75	223	c(500,10	c(500,10	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	224	SVM	SVM	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	225	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	75	226	support	support	VBP
work_ope6navdjndnnebvcd4hv3hj44	75	227	vectorial	vectorial	JJ
work_ope6navdjndnnebvcd4hv3hj44	75	228	machines	machine	NNS
work_ope6navdjndnnebvcd4hv3hj44	75	229	;	;	:
work_ope6navdjndnnebvcd4hv3hj44	75	230	KNN	KNN	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	231	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	75	232	K‐nearest	K‐nearest	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	233	neighbours	neighbour	NNS
work_ope6navdjndnnebvcd4hv3hj44	75	234	;	;	:
work_ope6navdjndnnebvcd4hv3hj44	75	235	NNET	NNET	NNP
work_ope6navdjndnnebvcd4hv3hj44	75	236	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	75	237	neur	neur	JJ
work_ope6navdjndnnebvcd4hv3hj44	75	238	techniques	technique	NNS
work_ope6navdjndnnebvcd4hv3hj44	75	239	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	75	240	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	75	241	context	context	NN
work_ope6navdjndnnebvcd4hv3hj44	75	242	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	75	243	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	75	244	forecasting	forecasting	NN
work_ope6navdjndnnebvcd4hv3hj44	75	245	problems	problem	NNS
work_ope6navdjndnnebvcd4hv3hj44	75	246	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	75	247	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	75	248	sec-	sec-	JJ
work_ope6navdjndnnebvcd4hv3hj44	75	249	ond	ond	JJ
work_ope6navdjndnnebvcd4hv3hj44	75	250	main	main	JJ
work_ope6navdjndnnebvcd4hv3hj44	75	251	contribution	contribution	NN
work_ope6navdjndnnebvcd4hv3hj44	75	252	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	75	253	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	75	254	paper	paper	NN
work_ope6navdjndnnebvcd4hv3hj44	75	255	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	76	1	3.2	3.2	CD
work_ope6navdjndnnebvcd4hv3hj44	76	2	|	|	NNS
work_ope6navdjndnnebvcd4hv3hj44	76	3	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	76	4	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	76	5	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	76	6	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	76	7	section	section	NN
work_ope6navdjndnnebvcd4hv3hj44	76	8	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	76	9	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	76	10	describe	describe	VBP
work_ope6navdjndnnebvcd4hv3hj44	76	11	all	all	PDT
work_ope6navdjndnnebvcd4hv3hj44	76	12	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	76	13	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	76	14	variants	variant	NNS
work_ope6navdjndnnebvcd4hv3hj44	76	15	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	76	16	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	76	17	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	76	18	used	use	VBN
work_ope6navdjndnnebvcd4hv3hj44	76	19	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	76	20	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	76	21	experimental	experimental	JJ
work_ope6navdjndnnebvcd4hv3hj44	76	22	comparisons	comparison	NNS
work_ope6navdjndnnebvcd4hv3hj44	76	23	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	77	1	They	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	77	2	were	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	77	3	selected	select	VBN
work_ope6navdjndnnebvcd4hv3hj44	77	4	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	77	5	ensure	ensure	VB
work_ope6navdjndnnebvcd4hv3hj44	77	6	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	77	7	both	both	DT
work_ope6navdjndnnebvcd4hv3hj44	77	8	approaches	approach	NNS
work_ope6navdjndnnebvcd4hv3hj44	77	9	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	77	10	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	77	11	same	same	JJ
work_ope6navdjndnnebvcd4hv3hj44	77	12	conditions	condition	NNS
work_ope6navdjndnnebvcd4hv3hj44	77	13	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	77	14	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	77	15	fair	fair	JJ
work_ope6navdjndnnebvcd4hv3hj44	77	16	comparison	comparison	NN
work_ope6navdjndnnebvcd4hv3hj44	77	17	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	77	18	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	77	19	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	77	20	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	77	21	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	77	22	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	77	23	biased	bias	VBN
work_ope6navdjndnnebvcd4hv3hj44	77	24	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	77	25	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	77	26	specific	specific	JJ
work_ope6navdjndnnebvcd4hv3hj44	77	27	characteristics	characteristic	NNS
work_ope6navdjndnnebvcd4hv3hj44	77	28	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	77	29	one	one	CD
work_ope6navdjndnnebvcd4hv3hj44	77	30	particular	particular	JJ
work_ope6navdjndnnebvcd4hv3hj44	77	31	technique	technique	NN
work_ope6navdjndnnebvcd4hv3hj44	77	32	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	78	1	Several	several	JJ
work_ope6navdjndnnebvcd4hv3hj44	78	2	variants	variant	NNS
work_ope6navdjndnnebvcd4hv3hj44	78	3	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	78	4	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	78	5	family	family	NN
work_ope6navdjndnnebvcd4hv3hj44	78	6	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	78	7	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	78	8	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	78	9	SVM	SVM	NNP
work_ope6navdjndnnebvcd4hv3hj44	78	10	[	[	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	78	11	support	support	VBP
work_ope6navdjndnnebvcd4hv3hj44	78	12	vectorial	vectorial	JJ
work_ope6navdjndnnebvcd4hv3hj44	78	13	machines	machine	NNS
work_ope6navdjndnnebvcd4hv3hj44	78	14	]	]	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	78	15	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	78	16	Random	Random	NNP
work_ope6navdjndnnebvcd4hv3hj44	78	17	Forests	Forests	NNPS
work_ope6navdjndnnebvcd4hv3hj44	78	18	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	78	19	etc	etc	FW
work_ope6navdjndnnebvcd4hv3hj44	78	20	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	78	21	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	79	1	were	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	79	2	tested	test	VBN
work_ope6navdjndnnebvcd4hv3hj44	79	3	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	79	4	order	order	NN
work_ope6navdjndnnebvcd4hv3hj44	79	5	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	79	6	make	make	VB
work_ope6navdjndnnebvcd4hv3hj44	79	7	sure	sure	JJ
work_ope6navdjndnnebvcd4hv3hj44	79	8	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	79	9	conclusions	conclusion	NNS
work_ope6navdjndnnebvcd4hv3hj44	79	10	were	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	79	11	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	79	12	biased	bias	VBN
work_ope6navdjndnnebvcd4hv3hj44	79	13	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	80	1	Tables	table	NNS
work_ope6navdjndnnebvcd4hv3hj44	80	2	1	1	CD
work_ope6navdjndnnebvcd4hv3hj44	80	3	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	80	4	2	2	CD
work_ope6navdjndnnebvcd4hv3hj44	80	5	show	show	VB
work_ope6navdjndnnebvcd4hv3hj44	80	6	all	all	PDT
work_ope6navdjndnnebvcd4hv3hj44	80	7	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	80	8	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	80	9	variants	variant	NNS
work_ope6navdjndnnebvcd4hv3hj44	80	10	used	use	VBN
work_ope6navdjndnnebvcd4hv3hj44	80	11	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	80	12	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	80	13	experiments	experiment	NNS
work_ope6navdjndnnebvcd4hv3hj44	80	14	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	80	15	nearly	nearly	RB
work_ope6navdjndnnebvcd4hv3hj44	80	16	182	182	CD
work_ope6navdjndnnebvcd4hv3hj44	80	17	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	80	18	variants	variant	NNS
work_ope6navdjndnnebvcd4hv3hj44	80	19	were	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	80	20	tested	test	VBN
work_ope6navdjndnnebvcd4hv3hj44	80	21	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	80	22	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	81	1	To	to	TO
work_ope6navdjndnnebvcd4hv3hj44	81	2	facilitate	facilitate	VB
work_ope6navdjndnnebvcd4hv3hj44	81	3	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	81	4	reproduc-	reproduc-	JJ
work_ope6navdjndnnebvcd4hv3hj44	81	5	ibility	ibility	NN
work_ope6navdjndnnebvcd4hv3hj44	81	6	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	81	7	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	81	8	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	81	9	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	81	10	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	81	11	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	81	12	used	use	VBN
work_ope6navdjndnnebvcd4hv3hj44	81	13	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	81	14	free	free	JJ
work_ope6navdjndnnebvcd4hv3hj44	81	15	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	81	16	open	open	JJ
work_ope6navdjndnnebvcd4hv3hj44	81	17	source	source	NN
work_ope6navdjndnnebvcd4hv3hj44	81	18	implementations	implementation	NNS
work_ope6navdjndnnebvcd4hv3hj44	81	19	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	81	20	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	81	21	techniques	technique	NNS
work_ope6navdjndnnebvcd4hv3hj44	81	22	available	available	JJ
work_ope6navdjndnnebvcd4hv3hj44	81	23	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	81	24	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	81	25	R	r	NN
work_ope6navdjndnnebvcd4hv3hj44	81	26	software	software	NN
work_ope6navdjndnnebvcd4hv3hj44	81	27	environment	environment	NN
work_ope6navdjndnnebvcd4hv3hj44	81	28	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	81	29	R	R	NNP
work_ope6navdjndnnebvcd4hv3hj44	81	30	Core	Core	NNP
work_ope6navdjndnnebvcd4hv3hj44	81	31	Team	Team	NNP
work_ope6navdjndnnebvcd4hv3hj44	81	32	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	81	33	2014	2014	CD
work_ope6navdjndnnebvcd4hv3hj44	81	34	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	81	35	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	82	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	82	2	predictive	predictive	JJ
work_ope6navdjndnnebvcd4hv3hj44	82	3	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	82	4	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	82	5	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	82	6	facing	face	VBG
work_ope6navdjndnnebvcd4hv3hj44	82	7	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	82	8	two	two	CD
work_ope6navdjndnnebvcd4hv3hj44	82	9	main	main	JJ
work_ope6navdjndnnebvcd4hv3hj44	82	10	difficulties	difficulty	NNS
work_ope6navdjndnnebvcd4hv3hj44	82	11	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	82	12	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	82	13	a	a	LS
work_ope6navdjndnnebvcd4hv3hj44	82	14	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	82	15	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	82	16	fact	fact	NN
work_ope6navdjndnnebvcd4hv3hj44	82	17	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	82	18	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	82	19	distribution	distribution	NN
work_ope6navdjndnnebvcd4hv3hj44	82	20	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	82	21	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	82	22	target	target	NN
work_ope6navdjndnnebvcd4hv3hj44	82	23	variables	variable	NNS
work_ope6navdjndnnebvcd4hv3hj44	82	24	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	82	25	highly	highly	RB
work_ope6navdjndnnebvcd4hv3hj44	82	26	imbal-	imbal-	RB
work_ope6navdjndnnebvcd4hv3hj44	82	27	anced	ance	VBN
work_ope6navdjndnnebvcd4hv3hj44	82	28	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	82	29	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	82	30	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	82	31	more	more	RBR
work_ope6navdjndnnebvcd4hv3hj44	82	32	relevant	relevant	JJ
work_ope6navdjndnnebvcd4hv3hj44	82	33	values	value	NNS
work_ope6navdjndnnebvcd4hv3hj44	82	34	being	be	VBG
work_ope6navdjndnnebvcd4hv3hj44	82	35	less	less	RBR
work_ope6navdjndnnebvcd4hv3hj44	82	36	frequent	frequent	JJ
work_ope6navdjndnnebvcd4hv3hj44	82	37	;	;	:
work_ope6navdjndnnebvcd4hv3hj44	82	38	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	82	39	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	82	40	b	b	LS
work_ope6navdjndnnebvcd4hv3hj44	82	41	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	82	42	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	82	43	fact	fact	NN
work_ope6navdjndnnebvcd4hv3hj44	82	44	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	82	45	there	there	EX
work_ope6navdjndnnebvcd4hv3hj44	82	46	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	82	47	an	an	DT
work_ope6navdjndnnebvcd4hv3hj44	82	48	implicit	implicit	JJ
work_ope6navdjndnnebvcd4hv3hj44	82	49	ordering	ordering	NN
work_ope6navdjndnnebvcd4hv3hj44	82	50	among	among	IN
work_ope6navdjndnnebvcd4hv3hj44	82	51	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	82	52	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	82	53	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	83	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	83	2	first	first	JJ
work_ope6navdjndnnebvcd4hv3hj44	83	3	problem	problem	NN
work_ope6navdjndnnebvcd4hv3hj44	83	4	causes	cause	VBZ
work_ope6navdjndnnebvcd4hv3hj44	83	5	most	most	RBS
work_ope6navdjndnnebvcd4hv3hj44	83	6	modeling	modeling	JJ
work_ope6navdjndnnebvcd4hv3hj44	83	7	techniques	technique	NNS
work_ope6navdjndnnebvcd4hv3hj44	83	8	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	83	9	focus	focus	VB
work_ope6navdjndnnebvcd4hv3hj44	83	10	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	83	11	cases	case	NNS
work_ope6navdjndnnebvcd4hv3hj44	83	12	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	83	13	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	83	14	most	most	RBS
work_ope6navdjndnnebvcd4hv3hj44	83	15	frequent	frequent	JJ
work_ope6navdjndnnebvcd4hv3hj44	83	16	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	83	17	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	83	18	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	83	19	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	83	20	relevant	relevant	JJ
work_ope6navdjndnnebvcd4hv3hj44	83	21	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	83	22	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	83	23	application	application	NN
work_ope6navdjndnnebvcd4hv3hj44	83	24	goals	goal	NNS
work_ope6navdjndnnebvcd4hv3hj44	83	25	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	84	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	84	2	second	second	JJ
work_ope6navdjndnnebvcd4hv3hj44	84	3	problem	problem	NN
work_ope6navdjndnnebvcd4hv3hj44	84	4	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	84	5	specific	specific	JJ
work_ope6navdjndnnebvcd4hv3hj44	84	6	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	84	7	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	84	8	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	84	9	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	84	10	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	84	11	algorithms	algorithm	NNS
work_ope6navdjndnnebvcd4hv3hj44	84	12	do	do	VBP
work_ope6navdjndnnebvcd4hv3hj44	84	13	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	84	14	distinguish	distinguish	VB
work_ope6navdjndnnebvcd4hv3hj44	84	15	among	among	IN
work_ope6navdjndnnebvcd4hv3hj44	84	16	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	84	17	different	different	JJ
work_ope6navdjndnnebvcd4hv3hj44	84	18	types	type	NNS
work_ope6navdjndnnebvcd4hv3hj44	84	19	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	84	20	errors	error	NNS
work_ope6navdjndnnebvcd4hv3hj44	84	21	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	84	22	whilst	whilst	IN
work_ope6navdjndnnebvcd4hv3hj44	84	23	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	84	24	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	84	25	target	target	NN
work_ope6navdjndnnebvcd4hv3hj44	84	26	application	application	NN
work_ope6navdjndnnebvcd4hv3hj44	84	27	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	84	28	confusing	confuse	VBG
work_ope6navdjndnnebvcd4hv3hj44	84	29	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	84	30	buy	buy	NN
work_ope6navdjndnnebvcd4hv3hj44	84	31	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	84	32	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	84	33	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	84	34	hold	hold	NN
work_ope6navdjndnnebvcd4hv3hj44	84	35	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	84	36	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	84	37	less	less	RBR
work_ope6navdjndnnebvcd4hv3hj44	84	38	seri-	seri-	NN
work_ope6navdjndnnebvcd4hv3hj44	84	39	ous	ous	JJ
work_ope6navdjndnnebvcd4hv3hj44	84	40	than	than	IN
work_ope6navdjndnnebvcd4hv3hj44	84	41	confusing	confuse	VBG
work_ope6navdjndnnebvcd4hv3hj44	84	42	it	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	84	43	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	84	44	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	84	45	sell	sell	NN
work_ope6navdjndnnebvcd4hv3hj44	84	46	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	85	1	R	r	NN
work_ope6navdjndnnebvcd4hv3hj44	85	2	package	package	NN
work_ope6navdjndnnebvcd4hv3hj44	85	3	e1071	e1071	NNP
work_ope6navdjndnnebvcd4hv3hj44	85	4	‐	‐	NNP
work_ope6navdjndnnebvcd4hv3hj44	85	5	Meyer	Meyer	NNP
work_ope6navdjndnnebvcd4hv3hj44	85	6	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	85	7	Dimitriadou	Dimitriadou	NNP
work_ope6navdjndnnebvcd4hv3hj44	85	8	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	85	9	Hornik	Hornik	NNP
work_ope6navdjndnnebvcd4hv3hj44	85	10	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	85	11	Weingessel	Weingessel	NNP
work_ope6navdjndnnebvcd4hv3hj44	85	12	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	85	13	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	85	14	Leisch	Leisch	NNP
work_ope6navdjndnnebvcd4hv3hj44	85	15	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	85	16	2014	2014	CD
work_ope6navdjndnnebvcd4hv3hj44	85	17	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	85	18	el	el	NNP
work_ope6navdjndnnebvcd4hv3hj44	85	19	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	85	20	polynomial	polynomial	NNP
work_ope6navdjndnnebvcd4hv3hj44	85	21	e1071	e1071	NNP
work_ope6navdjndnnebvcd4hv3hj44	85	22	‐	‐	NNP
work_ope6navdjndnnebvcd4hv3hj44	85	23	Meyer	Meyer	NNP
work_ope6navdjndnnebvcd4hv3hj44	85	24	et	et	NNP
work_ope6navdjndnnebvcd4hv3hj44	85	25	al	al	NNP
work_ope6navdjndnnebvcd4hv3hj44	85	26	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	86	1	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	86	2	2014	2014	CD
work_ope6navdjndnnebvcd4hv3hj44	86	3	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	86	4	randomForest	randomforest	VB
work_ope6navdjndnnebvcd4hv3hj44	86	5	‐	‐	``
work_ope6navdjndnnebvcd4hv3hj44	86	6	Liaw	Liaw	NNP
work_ope6navdjndnnebvcd4hv3hj44	86	7	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	86	8	Wiener	Wiener	NNP
work_ope6navdjndnnebvcd4hv3hj44	86	9	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	86	10	2002	2002	CD
work_ope6navdjndnnebvcd4hv3hj44	86	11	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	86	12	DMwR	dmwr	ADD
work_ope6navdjndnnebvcd4hv3hj44	86	13	–	–	:
work_ope6navdjndnnebvcd4hv3hj44	86	14	Torgo	Torgo	NNP
work_ope6navdjndnnebvcd4hv3hj44	86	15	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	86	16	2010	2010	CD
work_ope6navdjndnnebvcd4hv3hj44	86	17	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	86	18	DMwR	dmwr	ADD
work_ope6navdjndnnebvcd4hv3hj44	86	19	‐	‐	``
work_ope6navdjndnnebvcd4hv3hj44	86	20	Torgo	Torgo	NNP
work_ope6navdjndnnebvcd4hv3hj44	86	21	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	86	22	2010	2010	CD
work_ope6navdjndnnebvcd4hv3hj44	86	23	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	86	24	Nnet	Nnet	NNP
work_ope6navdjndnnebvcd4hv3hj44	86	25	‐	‐	NNP
work_ope6navdjndnnebvcd4hv3hj44	86	26	Venables	Venables	NNP
work_ope6navdjndnnebvcd4hv3hj44	86	27	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	86	28	Ripley	Ripley	NNP
work_ope6navdjndnnebvcd4hv3hj44	86	29	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	86	30	2002	2002	CD
work_ope6navdjndnnebvcd4hv3hj44	86	31	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	86	32	n	n	NN
work_ope6navdjndnnebvcd4hv3hj44	86	33	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	86	34	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	86	35	0,1	0,1	NFP
work_ope6navdjndnnebvcd4hv3hj44	86	36	}	}	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	86	37	Earth	Earth	NNP
work_ope6navdjndnnebvcd4hv3hj44	86	38	–	–	:
work_ope6navdjndnnebvcd4hv3hj44	86	39	Milborrow	Milborrow	NNP
work_ope6navdjndnnebvcd4hv3hj44	86	40	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	86	41	2014	2014	CD
work_ope6navdjndnnebvcd4hv3hj44	86	42	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	86	43	Gbm	Gbm	NNP
work_ope6navdjndnnebvcd4hv3hj44	86	44	–	–	:
work_ope6navdjndnnebvcd4hv3hj44	86	45	Ridgeway	Ridgeway	NNP
work_ope6navdjndnnebvcd4hv3hj44	86	46	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	86	47	2013	2013	CD
work_ope6navdjndnnebvcd4hv3hj44	86	48	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	86	49	al	al	NNP
work_ope6navdjndnnebvcd4hv3hj44	86	50	networks	networks	NNP
work_ope6navdjndnnebvcd4hv3hj44	86	51	;	;	:
work_ope6navdjndnnebvcd4hv3hj44	86	52	MARS	MARS	NNP
work_ope6navdjndnnebvcd4hv3hj44	86	53	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	86	54	multivariate	multivariate	NN
work_ope6navdjndnnebvcd4hv3hj44	86	55	adaptive	adaptive	JJ
work_ope6navdjndnnebvcd4hv3hj44	86	56	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	86	57	spline	spline	NN
work_ope6navdjndnnebvcd4hv3hj44	86	58	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	87	1	R	r	NN
work_ope6navdjndnnebvcd4hv3hj44	87	2	package	package	NN
work_ope6navdjndnnebvcd4hv3hj44	87	3	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	87	4	0.0005,0.002	0.0005,0.002	ADD
work_ope6navdjndnnebvcd4hv3hj44	87	5	}	}	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	87	6	e1071	e1071	NNP
work_ope6navdjndnnebvcd4hv3hj44	87	7	‐	‐	NNP
work_ope6navdjndnnebvcd4hv3hj44	87	8	Meyer	Meyer	NNP
work_ope6navdjndnnebvcd4hv3hj44	87	9	et	et	NNP
work_ope6navdjndnnebvcd4hv3hj44	87	10	al	al	NNP
work_ope6navdjndnnebvcd4hv3hj44	87	11	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	88	1	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	88	2	2014	2014	CD
work_ope6navdjndnnebvcd4hv3hj44	88	3	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	88	4	olynomial	olynomial	JJ
work_ope6navdjndnnebvcd4hv3hj44	88	5	e1071	e1071	NNP
work_ope6navdjndnnebvcd4hv3hj44	88	6	‐	‐	NNP
work_ope6navdjndnnebvcd4hv3hj44	88	7	Meyer	Meyer	NNP
work_ope6navdjndnnebvcd4hv3hj44	88	8	et	et	NNP
work_ope6navdjndnnebvcd4hv3hj44	88	9	al	al	NNP
work_ope6navdjndnnebvcd4hv3hj44	88	10	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	89	1	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	89	2	2014	2014	CD
work_ope6navdjndnnebvcd4hv3hj44	89	3	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	89	4	randomForest	randomforest	VB
work_ope6navdjndnnebvcd4hv3hj44	89	5	‐	‐	``
work_ope6navdjndnnebvcd4hv3hj44	89	6	Liaw	Liaw	NNP
work_ope6navdjndnnebvcd4hv3hj44	89	7	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	89	8	Wiener	Wiener	NNP
work_ope6navdjndnnebvcd4hv3hj44	89	9	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	89	10	2002	2002	CD
work_ope6navdjndnnebvcd4hv3hj44	89	11	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	89	12	DMwR	dmwr	ADD
work_ope6navdjndnnebvcd4hv3hj44	89	13	–	–	:
work_ope6navdjndnnebvcd4hv3hj44	89	14	Torgo	Torgo	NNP
work_ope6navdjndnnebvcd4hv3hj44	89	15	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	89	16	2010	2010	CD
work_ope6navdjndnnebvcd4hv3hj44	89	17	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	89	18	DMwR	dmwr	ADD
work_ope6navdjndnnebvcd4hv3hj44	89	19	–	–	:
work_ope6navdjndnnebvcd4hv3hj44	89	20	Torgo	Torgo	NNP
work_ope6navdjndnnebvcd4hv3hj44	89	21	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	89	22	2010	2010	CD
work_ope6navdjndnnebvcd4hv3hj44	89	23	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	89	24	Nnet	Nnet	NNP
work_ope6navdjndnnebvcd4hv3hj44	89	25	‐	‐	NNP
work_ope6navdjndnnebvcd4hv3hj44	89	26	Venables	Venables	NNP
work_ope6navdjndnnebvcd4hv3hj44	89	27	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	89	28	Ripley	Ripley	NNP
work_ope6navdjndnnebvcd4hv3hj44	89	29	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	89	30	2002	2002	CD
work_ope6navdjndnnebvcd4hv3hj44	89	31	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	89	32	00,2000	00,2000	LS
work_ope6navdjndnnebvcd4hv3hj44	89	33	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	89	34	Boosting	boost	VBG
work_ope6navdjndnnebvcd4hv3hj44	89	35	‐	‐	''
work_ope6navdjndnnebvcd4hv3hj44	89	36	Ridgeway	Ridgeway	NNP
work_ope6navdjndnnebvcd4hv3hj44	89	37	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	89	38	Southworth	Southworth	NNP
work_ope6navdjndnnebvcd4hv3hj44	89	39	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	89	40	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	89	41	RUnit	RUnit	NNP
work_ope6navdjndnnebvcd4hv3hj44	89	42	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	89	43	2013	2013	CD
work_ope6navdjndnnebvcd4hv3hj44	89	44	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	89	45	al	al	NNP
work_ope6navdjndnnebvcd4hv3hj44	89	46	networks	networks	NNP
work_ope6navdjndnnebvcd4hv3hj44	89	47	;	;	:
work_ope6navdjndnnebvcd4hv3hj44	89	48	MARS	MARS	NNP
work_ope6navdjndnnebvcd4hv3hj44	89	49	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	89	50	multivariate	multivariate	NN
work_ope6navdjndnnebvcd4hv3hj44	89	51	adaptive	adaptive	JJ
work_ope6navdjndnnebvcd4hv3hj44	89	52	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	89	53	spline	spline	NN
work_ope6navdjndnnebvcd4hv3hj44	89	54	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	90	1	4	4	CD
work_ope6navdjndnnebvcd4hv3hj44	90	2	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	90	3	13	13	CD
work_ope6navdjndnnebvcd4hv3hj44	90	4	BAÍA	BAÍA	NNS
work_ope6navdjndnnebvcd4hv3hj44	90	5	AND	and	CC
work_ope6navdjndnnebvcd4hv3hj44	90	6	TORGO	torgo	VB
work_ope6navdjndnnebvcd4hv3hj44	90	7	These	these	DT
work_ope6navdjndnnebvcd4hv3hj44	90	8	two	two	CD
work_ope6navdjndnnebvcd4hv3hj44	90	9	problems	problem	NNS
work_ope6navdjndnnebvcd4hv3hj44	90	10	led	lead	VBD
work_ope6navdjndnnebvcd4hv3hj44	90	11	us	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	90	12	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	90	13	consider	consider	VB
work_ope6navdjndnnebvcd4hv3hj44	90	14	several	several	JJ
work_ope6navdjndnnebvcd4hv3hj44	90	15	alternatives	alternative	NNS
work_ope6navdjndnnebvcd4hv3hj44	90	16	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	90	17	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	90	18	base	base	NN
work_ope6navdjndnnebvcd4hv3hj44	90	19	modeling	modeling	NN
work_ope6navdjndnnebvcd4hv3hj44	90	20	approaches	approach	NNS
work_ope6navdjndnnebvcd4hv3hj44	90	21	described	describe	VBN
work_ope6navdjndnnebvcd4hv3hj44	90	22	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	90	23	Tables	Tables	NNP
work_ope6navdjndnnebvcd4hv3hj44	90	24	1	1	CD
work_ope6navdjndnnebvcd4hv3hj44	90	25	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	90	26	2	2	CD
work_ope6navdjndnnebvcd4hv3hj44	90	27	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	91	1	For	for	IN
work_ope6navdjndnnebvcd4hv3hj44	91	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	91	3	first	first	JJ
work_ope6navdjndnnebvcd4hv3hj44	91	4	problem	problem	NN
work_ope6navdjndnnebvcd4hv3hj44	91	5	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	91	6	imbalance	imbalance	NN
work_ope6navdjndnnebvcd4hv3hj44	91	7	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	91	8	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	91	9	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	91	10	considered	consider	VBN
work_ope6navdjndnnebvcd4hv3hj44	91	11	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	91	12	hypothesis	hypothesis	NN
work_ope6navdjndnnebvcd4hv3hj44	91	13	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	91	14	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	91	15	resampling	resample	VBG
work_ope6navdjndnnebvcd4hv3hj44	91	16	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	91	17	balance	balance	VB
work_ope6navdjndnnebvcd4hv3hj44	91	18	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	91	19	distribution	distribution	NN
work_ope6navdjndnnebvcd4hv3hj44	91	20	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	91	21	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	91	22	target	target	NN
work_ope6navdjndnnebvcd4hv3hj44	91	23	variable	variable	JJ
work_ope6navdjndnnebvcd4hv3hj44	91	24	before	before	IN
work_ope6navdjndnnebvcd4hv3hj44	91	25	obtaining	obtain	VBG
work_ope6navdjndnnebvcd4hv3hj44	91	26	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	91	27	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	91	28	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	92	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	92	2	order	order	NN
work_ope6navdjndnnebvcd4hv3hj44	92	3	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	92	4	do	do	VB
work_ope6navdjndnnebvcd4hv3hj44	92	5	that	that	DT
work_ope6navdjndnnebvcd4hv3hj44	92	6	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	92	7	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	92	8	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	92	9	used	use	VBN
work_ope6navdjndnnebvcd4hv3hj44	92	10	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	92	11	SMOTE	SMOTE	NNP
work_ope6navdjndnnebvcd4hv3hj44	92	12	algorithm	algorithm	NN
work_ope6navdjndnnebvcd4hv3hj44	92	13	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	92	14	Chawla	Chawla	NNP
work_ope6navdjndnnebvcd4hv3hj44	92	15	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	92	16	Bowyer	Bowyer	NNP
work_ope6navdjndnnebvcd4hv3hj44	92	17	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	92	18	Hall	Hall	NNP
work_ope6navdjndnnebvcd4hv3hj44	92	19	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	92	20	&	&	CC
work_ope6navdjndnnebvcd4hv3hj44	92	21	Kegelmeyer	Kegelmeyer	NNP
work_ope6navdjndnnebvcd4hv3hj44	92	22	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	92	23	2002	2002	CD
work_ope6navdjndnnebvcd4hv3hj44	92	24	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	92	25	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	93	1	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	93	2	method	method	NN
work_ope6navdjndnnebvcd4hv3hj44	93	3	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	93	4	well‐known	well‐known	VBN
work_ope6navdjndnnebvcd4hv3hj44	93	5	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	93	6	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	93	7	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	93	8	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	93	9	consisting	consist	VBG
work_ope6navdjndnnebvcd4hv3hj44	93	10	basically	basically	RB
work_ope6navdjndnnebvcd4hv3hj44	93	11	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	93	12	oversampling	oversample	VBG
work_ope6navdjndnnebvcd4hv3hj44	93	13	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	93	14	minority	minority	NN
work_ope6navdjndnnebvcd4hv3hj44	93	15	classes	class	NNS
work_ope6navdjndnnebvcd4hv3hj44	93	16	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	93	17	under‐sampling	under‐sample	VBG
work_ope6navdjndnnebvcd4hv3hj44	93	18	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	93	19	majority	majority	NN
work_ope6navdjndnnebvcd4hv3hj44	93	20	ones	one	NNS
work_ope6navdjndnnebvcd4hv3hj44	93	21	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	94	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	94	2	goal	goal	NN
work_ope6navdjndnnebvcd4hv3hj44	94	3	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	94	4	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	94	5	modify	modify	VB
work_ope6navdjndnnebvcd4hv3hj44	94	6	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	94	7	data	datum	NNS
work_ope6navdjndnnebvcd4hv3hj44	94	8	set	set	VBN
work_ope6navdjndnnebvcd4hv3hj44	94	9	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	94	10	order	order	NN
work_ope6navdjndnnebvcd4hv3hj44	94	11	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	94	12	ensure	ensure	VB
work_ope6navdjndnnebvcd4hv3hj44	94	13	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	94	14	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	94	15	class	class	NN
work_ope6navdjndnnebvcd4hv3hj44	94	16	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	94	17	similarly	similarly	RB
work_ope6navdjndnnebvcd4hv3hj44	94	18	represented	represent	VBN
work_ope6navdjndnnebvcd4hv3hj44	94	19	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	95	1	Regarding	regard	VBG
work_ope6navdjndnnebvcd4hv3hj44	95	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	95	3	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	95	4	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	95	5	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	95	6	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	95	7	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	95	8	used	use	VBN
work_ope6navdjndnnebvcd4hv3hj44	95	9	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	95	10	work	work	NN
work_ope6navdjndnnebvcd4hv3hj44	95	11	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	95	12	Torgo	Torgo	NNP
work_ope6navdjndnnebvcd4hv3hj44	95	13	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	95	14	Branco	Branco	NNP
work_ope6navdjndnnebvcd4hv3hj44	95	15	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	95	16	Ribeiro	Ribeiro	NNP
work_ope6navdjndnnebvcd4hv3hj44	95	17	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	95	18	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	95	19	Pfahringer	Pfahringer	NNP
work_ope6navdjndnnebvcd4hv3hj44	95	20	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	95	21	2015	2015	CD
work_ope6navdjndnnebvcd4hv3hj44	95	22	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	95	23	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	95	24	where	where	WRB
work_ope6navdjndnnebvcd4hv3hj44	95	25	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	95	26	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	95	27	version	version	NN
work_ope6navdjndnnebvcd4hv3hj44	95	28	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	95	29	SMOTE	SMOTE	NNP
work_ope6navdjndnnebvcd4hv3hj44	95	30	was	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	95	31	presented	present	VBN
work_ope6navdjndnnebvcd4hv3hj44	95	32	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	96	1	Essentially	essentially	RB
work_ope6navdjndnnebvcd4hv3hj44	96	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	96	3	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	96	4	concept	concept	NN
work_ope6navdjndnnebvcd4hv3hj44	96	5	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	96	6	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	96	7	same	same	JJ
work_ope6navdjndnnebvcd4hv3hj44	96	8	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	96	9	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	96	10	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	96	11	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	96	12	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	96	13	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	96	14	method	method	NN
work_ope6navdjndnnebvcd4hv3hj44	96	15	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	96	16	try	try	VB
work_ope6navdjndnnebvcd4hv3hj44	96	17	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	96	18	balance	balance	VB
work_ope6navdjndnnebvcd4hv3hj44	96	19	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	96	20	continuous	continuous	JJ
work_ope6navdjndnnebvcd4hv3hj44	96	21	distribution	distribution	NN
work_ope6navdjndnnebvcd4hv3hj44	96	22	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	96	23	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	96	24	target	target	NN
work_ope6navdjndnnebvcd4hv3hj44	96	25	variable	variable	JJ
work_ope6navdjndnnebvcd4hv3hj44	96	26	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	96	27	oversampling	oversample	VBG
work_ope6navdjndnnebvcd4hv3hj44	96	28	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	96	29	under‐sampling	under‐sample	VBG
work_ope6navdjndnnebvcd4hv3hj44	96	30	different	different	JJ
work_ope6navdjndnnebvcd4hv3hj44	96	31	ranges	range	NNS
work_ope6navdjndnnebvcd4hv3hj44	96	32	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	96	33	its	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	96	34	domain	domain	NN
work_ope6navdjndnnebvcd4hv3hj44	96	35	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	97	1	Regarding	regard	VBG
work_ope6navdjndnnebvcd4hv3hj44	97	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	97	3	second	second	JJ
work_ope6navdjndnnebvcd4hv3hj44	97	4	problem	problem	NN
work_ope6navdjndnnebvcd4hv3hj44	97	5	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	97	6	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	97	7	order	order	NN
work_ope6navdjndnnebvcd4hv3hj44	97	8	among	among	IN
work_ope6navdjndnnebvcd4hv3hj44	97	9	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	97	10	classes	class	NNS
work_ope6navdjndnnebvcd4hv3hj44	97	11	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	97	12	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	97	13	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	97	14	also	also	RB
work_ope6navdjndnnebvcd4hv3hj44	97	15	considered	consider	VBN
work_ope6navdjndnnebvcd4hv3hj44	97	16	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	97	17	frequently	frequently	RB
work_ope6navdjndnnebvcd4hv3hj44	97	18	used	use	VBN
work_ope6navdjndnnebvcd4hv3hj44	97	19	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	97	20	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	97	21	handle	handle	VB
work_ope6navdjndnnebvcd4hv3hj44	97	22	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	97	23	issue	issue	NN
work_ope6navdjndnnebvcd4hv3hj44	97	24	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	98	1	Namely	namely	RB
work_ope6navdjndnnebvcd4hv3hj44	98	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	98	3	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	98	4	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	98	5	used	use	VBN
work_ope6navdjndnnebvcd4hv3hj44	98	6	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	98	7	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	98	8	–	–	:
work_ope6navdjndnnebvcd4hv3hj44	98	9	benefit	benefit	NN
work_ope6navdjndnnebvcd4hv3hj44	98	10	matrix	matrix	NN
work_ope6navdjndnnebvcd4hv3hj44	98	11	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	98	12	allows	allow	VBZ
work_ope6navdjndnnebvcd4hv3hj44	98	13	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	98	14	distinguish	distinguish	VB
work_ope6navdjndnnebvcd4hv3hj44	98	15	between	between	IN
work_ope6navdjndnnebvcd4hv3hj44	98	16	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	98	17	different	different	JJ
work_ope6navdjndnnebvcd4hv3hj44	98	18	types	type	NNS
work_ope6navdjndnnebvcd4hv3hj44	98	19	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	98	20	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	98	21	errors	error	NNS
work_ope6navdjndnnebvcd4hv3hj44	98	22	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	99	1	Using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	99	2	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	99	3	matrix	matrix	NN
work_ope6navdjndnnebvcd4hv3hj44	99	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	99	5	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	99	6	given	give	VBN
work_ope6navdjndnnebvcd4hv3hj44	99	7	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	99	8	probabilistic	probabilistic	JJ
work_ope6navdjndnnebvcd4hv3hj44	99	9	classifier	classifier	NN
work_ope6navdjndnnebvcd4hv3hj44	99	10	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	99	11	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	99	12	can	can	MD
work_ope6navdjndnnebvcd4hv3hj44	99	13	predict	predict	VB
work_ope6navdjndnnebvcd4hv3hj44	99	14	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	99	15	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	99	16	test	test	NN
work_ope6navdjndnnebvcd4hv3hj44	99	17	case	case	NN
work_ope6navdjndnnebvcd4hv3hj44	99	18	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	99	19	class	class	NN
work_ope6navdjndnnebvcd4hv3hj44	99	20	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	99	21	maximizes	maximize	VBZ
work_ope6navdjndnnebvcd4hv3hj44	99	22	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	99	23	utility	utility	NN
work_ope6navdjndnnebvcd4hv3hj44	99	24	instead	instead	RB
work_ope6navdjndnnebvcd4hv3hj44	99	25	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	99	26	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	99	27	class	class	NN
work_ope6navdjndnnebvcd4hv3hj44	99	28	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	99	29	has	have	VBZ
work_ope6navdjndnnebvcd4hv3hj44	99	30	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	99	31	highest	high	JJS
work_ope6navdjndnnebvcd4hv3hj44	99	32	probability	probability	NN
work_ope6navdjndnnebvcd4hv3hj44	99	33	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	100	1	We	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	100	2	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	100	3	used	use	VBN
work_ope6navdjndnnebvcd4hv3hj44	100	4	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	100	5	following	follow	VBG
work_ope6navdjndnnebvcd4hv3hj44	100	6	procedure	procedure	NN
work_ope6navdjndnnebvcd4hv3hj44	100	7	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	100	8	obtain	obtain	VB
work_ope6navdjndnnebvcd4hv3hj44	100	9	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	100	10	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	100	11	–	–	:
work_ope6navdjndnnebvcd4hv3hj44	100	12	benefit	benefit	NN
work_ope6navdjndnnebvcd4hv3hj44	100	13	matrices	matrix	NNS
work_ope6navdjndnnebvcd4hv3hj44	100	14	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	100	15	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	100	16	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	100	17	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	101	1	Correctly	correctly	RB
work_ope6navdjndnnebvcd4hv3hj44	101	2	predicted	predict	VBN
work_ope6navdjndnnebvcd4hv3hj44	101	3	buy	buy	NN
work_ope6navdjndnnebvcd4hv3hj44	101	4	/	/	SYM
work_ope6navdjndnnebvcd4hv3hj44	101	5	sell	sell	NN
work_ope6navdjndnnebvcd4hv3hj44	101	6	signals	signal	NNS
work_ope6navdjndnnebvcd4hv3hj44	101	7	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	101	8	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	101	9	pos-	pos-	JJ
work_ope6navdjndnnebvcd4hv3hj44	101	10	itive	itive	JJ
work_ope6navdjndnnebvcd4hv3hj44	101	11	benefit	benefit	NN
work_ope6navdjndnnebvcd4hv3hj44	101	12	estimated	estimate	VBN
work_ope6navdjndnnebvcd4hv3hj44	101	13	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	101	14	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	101	15	average	average	JJ
work_ope6navdjndnnebvcd4hv3hj44	101	16	return	return	NN
work_ope6navdjndnnebvcd4hv3hj44	101	17	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	101	18	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	101	19	buy	buy	NN
work_ope6navdjndnnebvcd4hv3hj44	101	20	/	/	SYM
work_ope6navdjndnnebvcd4hv3hj44	101	21	sell	sell	VBP
work_ope6navdjndnnebvcd4hv3hj44	101	22	signals	signal	NNS
work_ope6navdjndnnebvcd4hv3hj44	101	23	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	101	24	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	101	25	training	training	NN
work_ope6navdjndnnebvcd4hv3hj44	101	26	set	set	NN
work_ope6navdjndnnebvcd4hv3hj44	101	27	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	102	1	On	on	IN
work_ope6navdjndnnebvcd4hv3hj44	102	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	102	3	other	other	JJ
work_ope6navdjndnnebvcd4hv3hj44	102	4	hand	hand	NN
work_ope6navdjndnnebvcd4hv3hj44	102	5	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	102	6	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	102	7	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	102	8	case	case	NN
work_ope6navdjndnnebvcd4hv3hj44	102	9	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	102	10	incorrectly	incorrectly	RB
work_ope6navdjndnnebvcd4hv3hj44	102	11	predicting	predict	VBG
work_ope6navdjndnnebvcd4hv3hj44	102	12	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	102	13	true	true	JJ
work_ope6navdjndnnebvcd4hv3hj44	102	14	hold	hold	NN
work_ope6navdjndnnebvcd4hv3hj44	102	15	signal	signal	NN
work_ope6navdjndnnebvcd4hv3hj44	102	16	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	102	17	buy	buy	NN
work_ope6navdjndnnebvcd4hv3hj44	102	18	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	102	19	or	or	CC
work_ope6navdjndnnebvcd4hv3hj44	102	20	sell	sell	VB
work_ope6navdjndnnebvcd4hv3hj44	102	21	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	102	22	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	102	23	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	102	24	assign	assign	VBP
work_ope6navdjndnnebvcd4hv3hj44	102	25	it	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	102	26	minus	minus	IN
work_ope6navdjndnnebvcd4hv3hj44	102	27	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	102	28	average	average	JJ
work_ope6navdjndnnebvcd4hv3hj44	102	29	return	return	NN
work_ope6navdjndnnebvcd4hv3hj44	102	30	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	102	31	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	102	32	buy	buy	NN
work_ope6navdjndnnebvcd4hv3hj44	102	33	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	102	34	or	or	CC
work_ope6navdjndnnebvcd4hv3hj44	102	35	sell	sell	VB
work_ope6navdjndnnebvcd4hv3hj44	102	36	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	102	37	signals	signal	NNS
work_ope6navdjndnnebvcd4hv3hj44	102	38	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	103	1	Basically	basically	RB
work_ope6navdjndnnebvcd4hv3hj44	103	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	103	3	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	103	4	benefit	benefit	NN
work_ope6navdjndnnebvcd4hv3hj44	103	5	associated	associate	VBN
work_ope6navdjndnnebvcd4hv3hj44	103	6	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	103	7	correctly	correctly	RB
work_ope6navdjndnnebvcd4hv3hj44	103	8	predicting	predict	VBG
work_ope6navdjndnnebvcd4hv3hj44	103	9	one	one	CD
work_ope6navdjndnnebvcd4hv3hj44	103	10	rare	rare	JJ
work_ope6navdjndnnebvcd4hv3hj44	103	11	signal	signal	NN
work_ope6navdjndnnebvcd4hv3hj44	103	12	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	103	13	entirely	entirely	RB
work_ope6navdjndnnebvcd4hv3hj44	103	14	lost	lose	VBN
work_ope6navdjndnnebvcd4hv3hj44	103	15	when	when	WRB
work_ope6navdjndnnebvcd4hv3hj44	103	16	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	103	17	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	103	18	suggests	suggest	VBZ
work_ope6navdjndnnebvcd4hv3hj44	103	19	an	an	DT
work_ope6navdjndnnebvcd4hv3hj44	103	20	investment	investment	NN
work_ope6navdjndnnebvcd4hv3hj44	103	21	when	when	WRB
work_ope6navdjndnnebvcd4hv3hj44	103	22	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	103	23	correct	correct	JJ
work_ope6navdjndnnebvcd4hv3hj44	103	24	action	action	NN
work_ope6navdjndnnebvcd4hv3hj44	103	25	would	would	MD
work_ope6navdjndnnebvcd4hv3hj44	103	26	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	103	27	doing	do	VBG
work_ope6navdjndnnebvcd4hv3hj44	103	28	nothing	nothing	NN
work_ope6navdjndnnebvcd4hv3hj44	103	29	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	104	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	104	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	104	3	extreme	extreme	JJ
work_ope6navdjndnnebvcd4hv3hj44	104	4	case	case	NN
work_ope6navdjndnnebvcd4hv3hj44	104	5	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	104	6	confusing	confuse	VBG
work_ope6navdjndnnebvcd4hv3hj44	104	7	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	104	8	buy	buy	VB
work_ope6navdjndnnebvcd4hv3hj44	104	9	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	104	10	sell	sell	VB
work_ope6navdjndnnebvcd4hv3hj44	104	11	signals	signal	NNS
work_ope6navdjndnnebvcd4hv3hj44	104	12	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	104	13	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	104	14	penalty	penalty	NN
work_ope6navdjndnnebvcd4hv3hj44	104	15	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	104	16	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	104	17	minus	minus	IN
work_ope6navdjndnnebvcd4hv3hj44	104	18	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	104	19	sum	sum	NN
work_ope6navdjndnnebvcd4hv3hj44	104	20	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	104	21	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	104	22	average	average	JJ
work_ope6navdjndnnebvcd4hv3hj44	104	23	return	return	NN
work_ope6navdjndnnebvcd4hv3hj44	104	24	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	104	25	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	104	26	signal	signal	NN
work_ope6navdjndnnebvcd4hv3hj44	104	27	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	105	1	Choosing	choose	VBG
work_ope6navdjndnnebvcd4hv3hj44	105	2	such	such	PDT
work_ope6navdjndnnebvcd4hv3hj44	105	3	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	105	4	high	high	JJ
work_ope6navdjndnnebvcd4hv3hj44	105	5	penalty	penalty	NN
work_ope6navdjndnnebvcd4hv3hj44	105	6	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	105	7	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	105	8	cases	case	NNS
work_ope6navdjndnnebvcd4hv3hj44	105	9	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	105	10	eventually	eventually	RB
work_ope6navdjndnnebvcd4hv3hj44	105	11	change	change	VB
work_ope6navdjndnnebvcd4hv3hj44	105	12	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	105	13	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	105	14	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	105	15	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	105	16	less	less	RBR
work_ope6navdjndnnebvcd4hv3hj44	105	17	likely	likely	JJ
work_ope6navdjndnnebvcd4hv3hj44	105	18	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	105	19	make	make	VB
work_ope6navdjndnnebvcd4hv3hj44	105	20	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	105	21	type	type	NN
work_ope6navdjndnnebvcd4hv3hj44	105	22	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	105	23	very	very	RB
work_ope6navdjndnnebvcd4hv3hj44	105	24	dangerous	dangerous	JJ
work_ope6navdjndnnebvcd4hv3hj44	105	25	mistakes	mistake	NNS
work_ope6navdjndnnebvcd4hv3hj44	105	26	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	106	1	Considering	consider	VBG
work_ope6navdjndnnebvcd4hv3hj44	106	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	106	3	case	case	NN
work_ope6navdjndnnebvcd4hv3hj44	106	4	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	106	5	incorrectly	incorrectly	RB
work_ope6navdjndnnebvcd4hv3hj44	106	6	predicting	predict	VBG
work_ope6navdjndnnebvcd4hv3hj44	106	7	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	106	8	true	true	JJ
work_ope6navdjndnnebvcd4hv3hj44	106	9	sell	sell	NN
work_ope6navdjndnnebvcd4hv3hj44	106	10	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	106	11	or	or	CC
work_ope6navdjndnnebvcd4hv3hj44	106	12	buy	buy	VB
work_ope6navdjndnnebvcd4hv3hj44	106	13	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	106	14	signal	signal	NN
work_ope6navdjndnnebvcd4hv3hj44	106	15	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	106	16	hold	hold	NN
work_ope6navdjndnnebvcd4hv3hj44	106	17	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	106	18	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	106	19	also	also	RB
work_ope6navdjndnnebvcd4hv3hj44	106	20	charge	charge	VBP
work_ope6navdjndnnebvcd4hv3hj44	106	21	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	106	22	it	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	106	23	but	but	CC
work_ope6navdjndnnebvcd4hv3hj44	106	24	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	106	25	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	106	26	less	less	RBR
work_ope6navdjndnnebvcd4hv3hj44	106	27	severe	severe	JJ
work_ope6navdjndnnebvcd4hv3hj44	106	28	way	way	NN
work_ope6navdjndnnebvcd4hv3hj44	106	29	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	107	1	Therefore	therefore	RB
work_ope6navdjndnnebvcd4hv3hj44	107	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	107	3	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	107	4	average	average	NN
work_ope6navdjndnnebvcd4hv3hj44	107	5	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	107	6	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	107	7	sell	sell	NN
work_ope6navdjndnnebvcd4hv3hj44	107	8	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	107	9	or	or	CC
work_ope6navdjndnnebvcd4hv3hj44	107	10	buy	buy	VB
work_ope6navdjndnnebvcd4hv3hj44	107	11	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	107	12	signal	signal	NN
work_ope6navdjndnnebvcd4hv3hj44	107	13	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	107	14	considered	consider	VBN
work_ope6navdjndnnebvcd4hv3hj44	107	15	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	107	16	but	but	CC
work_ope6navdjndnnebvcd4hv3hj44	107	17	divided	divide	VBN
work_ope6navdjndnnebvcd4hv3hj44	107	18	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	107	19	two	two	CD
work_ope6navdjndnnebvcd4hv3hj44	107	20	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	108	1	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	108	2	division	division	NN
work_ope6navdjndnnebvcd4hv3hj44	108	3	was	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	108	4	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	108	5	way	way	NN
work_ope6navdjndnnebvcd4hv3hj44	108	6	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	108	7	“	"	``
work_ope6navdjndnnebvcd4hv3hj44	108	8	teaching	teach	VBG
work_ope6navdjndnnebvcd4hv3hj44	108	9	”	"	''
work_ope6navdjndnnebvcd4hv3hj44	108	10	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	108	11	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	108	12	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	108	13	it	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	108	14	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	108	15	preferable	preferable	JJ
work_ope6navdjndnnebvcd4hv3hj44	108	16	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	108	17	miss	miss	VB
work_ope6navdjndnnebvcd4hv3hj44	108	18	an	an	DT
work_ope6navdjndnnebvcd4hv3hj44	108	19	opportunity	opportunity	NN
work_ope6navdjndnnebvcd4hv3hj44	108	20	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	108	21	earn	earn	VB
work_ope6navdjndnnebvcd4hv3hj44	108	22	money	money	NN
work_ope6navdjndnnebvcd4hv3hj44	108	23	rather	rather	RB
work_ope6navdjndnnebvcd4hv3hj44	108	24	than	than	IN
work_ope6navdjndnnebvcd4hv3hj44	108	25	making	make	VBG
work_ope6navdjndnnebvcd4hv3hj44	108	26	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	108	27	investor	investor	NN
work_ope6navdjndnnebvcd4hv3hj44	108	28	lose	lose	VB
work_ope6navdjndnnebvcd4hv3hj44	108	29	money	money	NN
work_ope6navdjndnnebvcd4hv3hj44	108	30	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	109	1	Finally	finally	RB
work_ope6navdjndnnebvcd4hv3hj44	109	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	109	3	correctly	correctly	RB
work_ope6navdjndnnebvcd4hv3hj44	109	4	predicting	predict	VBG
work_ope6navdjndnnebvcd4hv3hj44	109	5	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	109	6	hold	hold	NN
work_ope6navdjndnnebvcd4hv3hj44	109	7	signal	signal	NN
work_ope6navdjndnnebvcd4hv3hj44	109	8	gives	give	VBZ
work_ope6navdjndnnebvcd4hv3hj44	109	9	no	no	DT
work_ope6navdjndnnebvcd4hv3hj44	109	10	penalty	penalty	NN
work_ope6navdjndnnebvcd4hv3hj44	109	11	nor	nor	CC
work_ope6navdjndnnebvcd4hv3hj44	109	12	reward	reward	NN
work_ope6navdjndnnebvcd4hv3hj44	109	13	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	109	14	because	because	IN
work_ope6navdjndnnebvcd4hv3hj44	109	15	no	no	DT
work_ope6navdjndnnebvcd4hv3hj44	109	16	money	money	NN
work_ope6navdjndnnebvcd4hv3hj44	109	17	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	109	18	either	either	CC
work_ope6navdjndnnebvcd4hv3hj44	109	19	won	win	VBN
work_ope6navdjndnnebvcd4hv3hj44	109	20	or	or	CC
work_ope6navdjndnnebvcd4hv3hj44	109	21	lost	lose	VBN
work_ope6navdjndnnebvcd4hv3hj44	109	22	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	110	1	Table	table	NN
work_ope6navdjndnnebvcd4hv3hj44	110	2	3	3	CD
work_ope6navdjndnnebvcd4hv3hj44	110	3	shows	show	VBZ
work_ope6navdjndnnebvcd4hv3hj44	110	4	an	an	DT
work_ope6navdjndnnebvcd4hv3hj44	110	5	example	example	NN
work_ope6navdjndnnebvcd4hv3hj44	110	6	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	110	7	such	such	JJ
work_ope6navdjndnnebvcd4hv3hj44	110	8	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	110	9	–	–	:
work_ope6navdjndnnebvcd4hv3hj44	110	10	benefit	benefit	NN
work_ope6navdjndnnebvcd4hv3hj44	110	11	matrix	matrix	NN
work_ope6navdjndnnebvcd4hv3hj44	110	12	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	110	13	was	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	110	14	obtained	obtain	VBN
work_ope6navdjndnnebvcd4hv3hj44	110	15	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	110	16	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	110	17	data	data	NN
work_ope6navdjndnnebvcd4hv3hj44	110	18	from	from	IN
work_ope6navdjndnnebvcd4hv3hj44	110	19	1981‐01‐	1981‐01‐	CD
work_ope6navdjndnnebvcd4hv3hj44	110	20	05	05	CD
work_ope6navdjndnnebvcd4hv3hj44	110	21	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	110	22	2000‐10‐13	2000‐10‐13	CD
work_ope6navdjndnnebvcd4hv3hj44	110	23	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	110	24	Apple	Apple	NNP
work_ope6navdjndnnebvcd4hv3hj44	110	25	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	111	1	We	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	111	2	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	111	3	thoroughly	thoroughly	RB
work_ope6navdjndnnebvcd4hv3hj44	111	4	tested	test	VBN
work_ope6navdjndnnebvcd4hv3hj44	111	5	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	111	6	hypothesis	hypothesis	NN
work_ope6navdjndnnebvcd4hv3hj44	111	7	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	111	8	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	111	9	resampling	resample	VBG
work_ope6navdjndnnebvcd4hv3hj44	111	10	before	before	IN
work_ope6navdjndnnebvcd4hv3hj44	111	11	obtaining	obtain	VBG
work_ope6navdjndnnebvcd4hv3hj44	111	12	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	111	13	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	111	14	would	would	MD
work_ope6navdjndnnebvcd4hv3hj44	111	15	boost	boost	VB
work_ope6navdjndnnebvcd4hv3hj44	111	16	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	111	17	performance	performance	NN
work_ope6navdjndnnebvcd4hv3hj44	111	18	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	111	19	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	111	20	dif-	dif-	JJ
work_ope6navdjndnnebvcd4hv3hj44	111	21	ferent	ferent	NN
work_ope6navdjndnnebvcd4hv3hj44	111	22	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	111	23	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	111	24	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	111	25	considered	consider	VBN
work_ope6navdjndnnebvcd4hv3hj44	111	26	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	111	27	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	111	28	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	111	29	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	111	30	both	both	CC
work_ope6navdjndnnebvcd4hv3hj44	111	31	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	111	32	TABLE	TABLE	NNS
work_ope6navdjndnnebvcd4hv3hj44	111	33	3	3	CD
work_ope6navdjndnnebvcd4hv3hj44	111	34	Example	example	NN
work_ope6navdjndnnebvcd4hv3hj44	111	35	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	111	36	–	–	:
work_ope6navdjndnnebvcd4hv3hj44	111	37	benefit	benefit	NN
work_ope6navdjndnnebvcd4hv3hj44	111	38	matrix	matrix	NN
work_ope6navdjndnnebvcd4hv3hj44	111	39	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	111	40	Apple	Apple	NNP
work_ope6navdjndnnebvcd4hv3hj44	111	41	shares	share	NNS
work_ope6navdjndnnebvcd4hv3hj44	111	42	Trues	Trues	NNP
work_ope6navdjndnnebvcd4hv3hj44	111	43	S	S	NNP
work_ope6navdjndnnebvcd4hv3hj44	111	44	H	h	NN
work_ope6navdjndnnebvcd4hv3hj44	111	45	B	b	NN
work_ope6navdjndnnebvcd4hv3hj44	111	46	S	s	NN
work_ope6navdjndnnebvcd4hv3hj44	111	47	0.49	0.49	CD
work_ope6navdjndnnebvcd4hv3hj44	111	48	−0.49	−0.49	NNP
work_ope6navdjndnnebvcd4hv3hj44	111	49	−0.82	−0.82	NNP
work_ope6navdjndnnebvcd4hv3hj44	111	50	Pred	Pred	NNP
work_ope6navdjndnnebvcd4hv3hj44	111	51	H	H	NNP
work_ope6navdjndnnebvcd4hv3hj44	111	52	−0.24	−0.24	NNP
work_ope6navdjndnnebvcd4hv3hj44	111	53	0.00	0.00	CD
work_ope6navdjndnnebvcd4hv3hj44	111	54	−0.17	−0.17	NNP
work_ope6navdjndnnebvcd4hv3hj44	111	55	B	B	NNP
work_ope6navdjndnnebvcd4hv3hj44	111	56	−0.82	−0.82	NNP
work_ope6navdjndnnebvcd4hv3hj44	111	57	−0.33	−0.33	NNP
work_ope6navdjndnnebvcd4hv3hj44	111	58	0.33	0.33	CD
work_ope6navdjndnnebvcd4hv3hj44	111	59	S	s	NN
work_ope6navdjndnnebvcd4hv3hj44	111	60	=	=	:
work_ope6navdjndnnebvcd4hv3hj44	111	61	share	share	NN
work_ope6navdjndnnebvcd4hv3hj44	111	62	;	;	:
work_ope6navdjndnnebvcd4hv3hj44	111	63	H	h	NN
work_ope6navdjndnnebvcd4hv3hj44	111	64	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	111	65	hold	hold	NN
work_ope6navdjndnnebvcd4hv3hj44	111	66	;	;	:
work_ope6navdjndnnebvcd4hv3hj44	111	67	B	b	NN
work_ope6navdjndnnebvcd4hv3hj44	111	68	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	111	69	buy	buy	NN
work_ope6navdjndnnebvcd4hv3hj44	111	70	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	112	1	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	112	2	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	112	3	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	112	4	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	112	5	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	112	6	also	also	RB
work_ope6navdjndnnebvcd4hv3hj44	112	7	tested	test	VBN
work_ope6navdjndnnebvcd4hv3hj44	112	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	112	9	hypothesis	hypothesis	NN
work_ope6navdjndnnebvcd4hv3hj44	112	10	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	112	11	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	112	12	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	112	13	–	–	:
work_ope6navdjndnnebvcd4hv3hj44	112	14	benefit	benefit	NN
work_ope6navdjndnnebvcd4hv3hj44	112	15	matrices	matrix	NNS
work_ope6navdjndnnebvcd4hv3hj44	112	16	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	112	17	implement	implement	VB
work_ope6navdjndnnebvcd4hv3hj44	112	18	utility	utility	NN
work_ope6navdjndnnebvcd4hv3hj44	112	19	maximization	maximization	NN
work_ope6navdjndnnebvcd4hv3hj44	112	20	would	would	MD
work_ope6navdjndnnebvcd4hv3hj44	112	21	also	also	RB
work_ope6navdjndnnebvcd4hv3hj44	112	22	improve	improve	VB
work_ope6navdjndnnebvcd4hv3hj44	112	23	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	112	24	performance	performance	NN
work_ope6navdjndnnebvcd4hv3hj44	112	25	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	112	26	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	112	27	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	112	28	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	112	29	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	113	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	113	2	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	113	3	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	113	4	testing	test	VBG
work_ope6navdjndnnebvcd4hv3hj44	113	5	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	113	6	hypotheses	hypothesis	NNS
work_ope6navdjndnnebvcd4hv3hj44	113	7	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	113	8	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	113	9	presented	present	VBN
work_ope6navdjndnnebvcd4hv3hj44	113	10	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	113	11	Section	section	NN
work_ope6navdjndnnebvcd4hv3hj44	113	12	4	4	CD
work_ope6navdjndnnebvcd4hv3hj44	113	13	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	114	1	3.3	3.3	CD
work_ope6navdjndnnebvcd4hv3hj44	114	2	|	|	CD
work_ope6navdjndnnebvcd4hv3hj44	114	3	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	114	4	experimental	experimental	JJ
work_ope6navdjndnnebvcd4hv3hj44	114	5	methodology	methodology	NN
work_ope6navdjndnnebvcd4hv3hj44	114	6	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	114	7	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	114	8	section	section	NN
work_ope6navdjndnnebvcd4hv3hj44	114	9	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	114	10	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	114	11	present	present	VBP
work_ope6navdjndnnebvcd4hv3hj44	114	12	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	114	13	experimental	experimental	JJ
work_ope6navdjndnnebvcd4hv3hj44	114	14	methodology	methodology	NN
work_ope6navdjndnnebvcd4hv3hj44	114	15	used	use	VBN
work_ope6navdjndnnebvcd4hv3hj44	114	16	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	114	17	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	114	18	comparative	comparative	JJ
work_ope6navdjndnnebvcd4hv3hj44	114	19	experiments	experiment	NNS
work_ope6navdjndnnebvcd4hv3hj44	114	20	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	115	1	Because	because	IN
work_ope6navdjndnnebvcd4hv3hj44	115	2	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	115	3	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	115	4	temporal	temporal	JJ
work_ope6navdjndnnebvcd4hv3hj44	115	5	nature	nature	NN
work_ope6navdjndnnebvcd4hv3hj44	115	6	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	115	7	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	115	8	data	data	NN
work_ope6navdjndnnebvcd4hv3hj44	115	9	sets	set	NNS
work_ope6navdjndnnebvcd4hv3hj44	115	10	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	115	11	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	115	12	usual	usual	JJ
work_ope6navdjndnnebvcd4hv3hj44	115	13	cross‐validation	cross‐validation	NN
work_ope6navdjndnnebvcd4hv3hj44	115	14	methodology	methodology	NN
work_ope6navdjndnnebvcd4hv3hj44	115	15	should	should	MD
work_ope6navdjndnnebvcd4hv3hj44	115	16	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	115	17	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	115	18	used	use	VBN
work_ope6navdjndnnebvcd4hv3hj44	115	19	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	115	20	estimate	estimate	VB
work_ope6navdjndnnebvcd4hv3hj44	115	21	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	115	22	performance	performance	NN
work_ope6navdjndnnebvcd4hv3hj44	115	23	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	115	24	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	115	25	certain	certain	JJ
work_ope6navdjndnnebvcd4hv3hj44	115	26	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	115	27	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	116	1	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	116	2	procedure	procedure	NN
work_ope6navdjndnnebvcd4hv3hj44	116	3	involves	involve	VBZ
work_ope6navdjndnnebvcd4hv3hj44	116	4	randomly	randomly	RB
work_ope6navdjndnnebvcd4hv3hj44	116	5	reshuffling	reshuffle	VBG
work_ope6navdjndnnebvcd4hv3hj44	116	6	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	116	7	data	datum	NNS
work_ope6navdjndnnebvcd4hv3hj44	116	8	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	116	9	which	which	WDT
work_ope6navdjndnnebvcd4hv3hj44	116	10	may	may	MD
work_ope6navdjndnnebvcd4hv3hj44	116	11	lead	lead	VB
work_ope6navdjndnnebvcd4hv3hj44	116	12	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	116	13	test	test	NN
work_ope6navdjndnnebvcd4hv3hj44	116	14	cases	case	NNS
work_ope6navdjndnnebvcd4hv3hj44	116	15	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	116	16	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	116	17	“	"	``
work_ope6navdjndnnebvcd4hv3hj44	116	18	older	old	JJR
work_ope6navdjndnnebvcd4hv3hj44	116	19	”	"	''
work_ope6navdjndnnebvcd4hv3hj44	116	20	than	than	IN
work_ope6navdjndnnebvcd4hv3hj44	116	21	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	116	22	training	training	NN
work_ope6navdjndnnebvcd4hv3hj44	116	23	cases	case	NNS
work_ope6navdjndnnebvcd4hv3hj44	116	24	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	116	25	which	which	WDT
work_ope6navdjndnnebvcd4hv3hj44	116	26	would	would	MD
work_ope6navdjndnnebvcd4hv3hj44	116	27	lead	lead	VB
work_ope6navdjndnnebvcd4hv3hj44	116	28	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	116	29	unreliable	unreliable	JJ
work_ope6navdjndnnebvcd4hv3hj44	116	30	estimates	estimate	NNS
work_ope6navdjndnnebvcd4hv3hj44	116	31	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	117	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	117	2	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	117	3	context	context	NN
work_ope6navdjndnnebvcd4hv3hj44	117	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	117	5	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	117	6	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	117	7	used	use	VBN
work_ope6navdjndnnebvcd4hv3hj44	117	8	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	117	9	Monte	Monte	NNP
work_ope6navdjndnnebvcd4hv3hj44	117	10	Carlo	Carlo	NNP
work_ope6navdjndnnebvcd4hv3hj44	117	11	simulation	simulation	NN
work_ope6navdjndnnebvcd4hv3hj44	117	12	method	method	NN
work_ope6navdjndnnebvcd4hv3hj44	117	13	consisting	consist	VBG
work_ope6navdjndnnebvcd4hv3hj44	117	14	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	117	15	randomly	randomly	RB
work_ope6navdjndnnebvcd4hv3hj44	117	16	selecting	select	VBG
work_ope6navdjndnnebvcd4hv3hj44	117	17	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	117	18	series	series	NN
work_ope6navdjndnnebvcd4hv3hj44	117	19	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	117	20	N	N	NNP
work_ope6navdjndnnebvcd4hv3hj44	117	21	points	point	NNS
work_ope6navdjndnnebvcd4hv3hj44	117	22	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	117	23	time	time	NN
work_ope6navdjndnnebvcd4hv3hj44	117	24	within	within	IN
work_ope6navdjndnnebvcd4hv3hj44	117	25	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	117	26	available	available	JJ
work_ope6navdjndnnebvcd4hv3hj44	117	27	data	datum	NNS
work_ope6navdjndnnebvcd4hv3hj44	117	28	set	set	NN
work_ope6navdjndnnebvcd4hv3hj44	117	29	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	118	1	For	for	IN
work_ope6navdjndnnebvcd4hv3hj44	118	2	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	118	3	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	118	4	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	118	5	random	random	JJ
work_ope6navdjndnnebvcd4hv3hj44	118	6	dates	date	NNS
work_ope6navdjndnnebvcd4hv3hj44	118	7	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	118	8	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	118	9	use	use	VBP
work_ope6navdjndnnebvcd4hv3hj44	118	10	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	118	11	certain	certain	JJ
work_ope6navdjndnnebvcd4hv3hj44	118	12	consecutive	consecutive	JJ
work_ope6navdjndnnebvcd4hv3hj44	118	13	past	past	NN
work_ope6navdjndnnebvcd4hv3hj44	118	14	window	window	NN
work_ope6navdjndnnebvcd4hv3hj44	118	15	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	118	16	training	training	NN
work_ope6navdjndnnebvcd4hv3hj44	118	17	set	set	VBN
work_ope6navdjndnnebvcd4hv3hj44	118	18	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	118	19	obtaining	obtain	VBG
work_ope6navdjndnnebvcd4hv3hj44	118	20	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	118	21	alternative	alternative	JJ
work_ope6navdjndnnebvcd4hv3hj44	118	22	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	118	23	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	118	24	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	118	25	then	then	RB
work_ope6navdjndnnebvcd4hv3hj44	118	26	tested	test	VBN
work_ope6navdjndnnebvcd4hv3hj44	118	27	/	/	SYM
work_ope6navdjndnnebvcd4hv3hj44	118	28	compared	compare	VBN
work_ope6navdjndnnebvcd4hv3hj44	118	29	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	118	30	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	118	31	subsequent	subsequent	JJ
work_ope6navdjndnnebvcd4hv3hj44	118	32	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	118	33	consecutive	consecutive	JJ
work_ope6navdjndnnebvcd4hv3hj44	118	34	test	test	NN
work_ope6navdjndnnebvcd4hv3hj44	118	35	window	window	NN
work_ope6navdjndnnebvcd4hv3hj44	118	36	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	119	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	119	2	Monte	Monte	NNP
work_ope6navdjndnnebvcd4hv3hj44	119	3	Carlo	Carlo	NNP
work_ope6navdjndnnebvcd4hv3hj44	119	4	estimates	estimate	NNS
work_ope6navdjndnnebvcd4hv3hj44	119	5	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	119	6	formed	form	VBN
work_ope6navdjndnnebvcd4hv3hj44	119	7	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	119	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	119	9	average	average	JJ
work_ope6navdjndnnebvcd4hv3hj44	119	10	scores	score	NNS
work_ope6navdjndnnebvcd4hv3hj44	119	11	obtained	obtain	VBN
work_ope6navdjndnnebvcd4hv3hj44	119	12	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	119	13	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	119	14	N	N	NNP
work_ope6navdjndnnebvcd4hv3hj44	119	15	repetitions	repetition	NNS
work_ope6navdjndnnebvcd4hv3hj44	119	16	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	120	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	120	2	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	120	3	experi-	experi-	JJ
work_ope6navdjndnnebvcd4hv3hj44	120	4	ments	ment	NNS
work_ope6navdjndnnebvcd4hv3hj44	120	5	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	120	6	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	120	7	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	120	8	used	use	VBN
work_ope6navdjndnnebvcd4hv3hj44	120	9	N	n	NN
work_ope6navdjndnnebvcd4hv3hj44	120	10	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	120	11	10	10	CD
work_ope6navdjndnnebvcd4hv3hj44	120	12	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	120	13	50	50	CD
work_ope6navdjndnnebvcd4hv3hj44	120	14	%	%	NN
work_ope6navdjndnnebvcd4hv3hj44	120	15	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	120	16	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	120	17	data	datum	NNS
work_ope6navdjndnnebvcd4hv3hj44	120	18	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	120	19	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	120	20	size	size	NN
work_ope6navdjndnnebvcd4hv3hj44	120	21	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	120	22	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	120	23	training	training	NN
work_ope6navdjndnnebvcd4hv3hj44	120	24	window	window	NN
work_ope6navdjndnnebvcd4hv3hj44	120	25	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	120	26	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	120	27	25	25	CD
work_ope6navdjndnnebvcd4hv3hj44	120	28	%	%	NN
work_ope6navdjndnnebvcd4hv3hj44	120	29	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	120	30	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	120	31	data	datum	NNS
work_ope6navdjndnnebvcd4hv3hj44	120	32	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	120	33	size	size	NN
work_ope6navdjndnnebvcd4hv3hj44	120	34	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	120	35	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	120	36	test	test	NN
work_ope6navdjndnnebvcd4hv3hj44	120	37	sets	set	NNS
work_ope6navdjndnnebvcd4hv3hj44	120	38	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	121	1	With	with	IN
work_ope6navdjndnnebvcd4hv3hj44	121	2	respect	respect	NN
work_ope6navdjndnnebvcd4hv3hj44	121	3	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	121	4	testing	test	VBG
work_ope6navdjndnnebvcd4hv3hj44	121	5	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	121	6	statistical	statistical	JJ
work_ope6navdjndnnebvcd4hv3hj44	121	7	significance	significance	NN
work_ope6navdjndnnebvcd4hv3hj44	121	8	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	121	9	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	121	10	observed	observe	VBN
work_ope6navdjndnnebvcd4hv3hj44	121	11	differences	difference	NNS
work_ope6navdjndnnebvcd4hv3hj44	121	12	between	between	IN
work_ope6navdjndnnebvcd4hv3hj44	121	13	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	121	14	estimated	estimate	VBN
work_ope6navdjndnnebvcd4hv3hj44	121	15	scores	score	NNS
work_ope6navdjndnnebvcd4hv3hj44	121	16	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	121	17	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	121	18	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	121	19	used	use	VBN
work_ope6navdjndnnebvcd4hv3hj44	121	20	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	121	21	recommendations	recommendation	NNS
work_ope6navdjndnnebvcd4hv3hj44	121	22	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	121	23	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	121	24	work	work	NN
work_ope6navdjndnnebvcd4hv3hj44	121	25	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	121	26	Demšar	Demšar	NNP
work_ope6navdjndnnebvcd4hv3hj44	121	27	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	121	28	2006	2006	CD
work_ope6navdjndnnebvcd4hv3hj44	121	29	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	121	30	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	122	1	More	more	RBR
work_ope6navdjndnnebvcd4hv3hj44	122	2	specifically	specifically	RB
work_ope6navdjndnnebvcd4hv3hj44	122	3	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	122	4	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	122	5	situations	situation	NNS
work_ope6navdjndnnebvcd4hv3hj44	122	6	where	where	WRB
work_ope6navdjndnnebvcd4hv3hj44	122	7	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	122	8	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	122	9	comparing	compare	VBG
work_ope6navdjndnnebvcd4hv3hj44	122	10	k	k	NN
work_ope6navdjndnnebvcd4hv3hj44	122	11	alternative	alternative	JJ
work_ope6navdjndnnebvcd4hv3hj44	122	12	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	122	13	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	122	14	one	one	CD
work_ope6navdjndnnebvcd4hv3hj44	122	15	specific	specific	JJ
work_ope6navdjndnnebvcd4hv3hj44	122	16	task	task	NN
work_ope6navdjndnnebvcd4hv3hj44	122	17	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	122	18	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	122	19	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	122	20	used	use	VBN
work_ope6navdjndnnebvcd4hv3hj44	122	21	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	122	22	Wilcoxon	Wilcoxon	NNP
work_ope6navdjndnnebvcd4hv3hj44	122	23	signed‐rank	signed‐rank	NNP
work_ope6navdjndnnebvcd4hv3hj44	122	24	test	test	NN
work_ope6navdjndnnebvcd4hv3hj44	122	25	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	122	26	check	check	VB
work_ope6navdjndnnebvcd4hv3hj44	122	27	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	122	28	significance	significance	NN
work_ope6navdjndnnebvcd4hv3hj44	122	29	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	122	30	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	122	31	differences	difference	NNS
work_ope6navdjndnnebvcd4hv3hj44	122	32	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	123	1	On	on	IN
work_ope6navdjndnnebvcd4hv3hj44	123	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	123	3	experiments	experiment	NNS
work_ope6navdjndnnebvcd4hv3hj44	123	4	where	where	WRB
work_ope6navdjndnnebvcd4hv3hj44	123	5	k	k	NN
work_ope6navdjndnnebvcd4hv3hj44	123	6	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	123	7	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	123	8	compared	compare	VBN
work_ope6navdjndnnebvcd4hv3hj44	123	9	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	123	10	t	t	NN
work_ope6navdjndnnebvcd4hv3hj44	123	11	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	123	12	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	123	13	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	123	14	use	use	VBP
work_ope6navdjndnnebvcd4hv3hj44	123	15	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	123	16	Friedman	Friedman	NNP
work_ope6navdjndnnebvcd4hv3hj44	123	17	test	test	NN
work_ope6navdjndnnebvcd4hv3hj44	123	18	followed	follow	VBN
work_ope6navdjndnnebvcd4hv3hj44	123	19	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	123	20	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	123	21	post	post	NN
work_ope6navdjndnnebvcd4hv3hj44	123	22	hoc	hoc	FW
work_ope6navdjndnnebvcd4hv3hj44	123	23	Nemenyi	Nemenyi	NNP
work_ope6navdjndnnebvcd4hv3hj44	123	24	test	test	NN
work_ope6navdjndnnebvcd4hv3hj44	123	25	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	123	26	check	check	VB
work_ope6navdjndnnebvcd4hv3hj44	123	27	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	123	28	significance	significance	NN
work_ope6navdjndnnebvcd4hv3hj44	123	29	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	123	30	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	123	31	difference	difference	NN
work_ope6navdjndnnebvcd4hv3hj44	123	32	between	between	IN
work_ope6navdjndnnebvcd4hv3hj44	123	33	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	123	34	average	average	JJ
work_ope6navdjndnnebvcd4hv3hj44	123	35	ranks	rank	NNS
work_ope6navdjndnnebvcd4hv3hj44	123	36	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	123	37	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	123	38	k	k	NNP
work_ope6navdjndnnebvcd4hv3hj44	123	39	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	123	40	across	across	IN
work_ope6navdjndnnebvcd4hv3hj44	123	41	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	123	42	t	t	NN
work_ope6navdjndnnebvcd4hv3hj44	123	43	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	123	44	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	124	1	4	4	CD
work_ope6navdjndnnebvcd4hv3hj44	124	2	|	|	CD
work_ope6navdjndnnebvcd4hv3hj44	124	3	EXPERIMENTAL	experimental	NN
work_ope6navdjndnnebvcd4hv3hj44	124	4	RESULTS	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	124	5	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	124	6	section	section	NN
work_ope6navdjndnnebvcd4hv3hj44	124	7	describes	describe	VBZ
work_ope6navdjndnnebvcd4hv3hj44	124	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	124	9	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	124	10	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	124	11	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	124	12	empirical	empirical	JJ
work_ope6navdjndnnebvcd4hv3hj44	124	13	studies	study	NNS
work_ope6navdjndnnebvcd4hv3hj44	124	14	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	125	1	We	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	125	2	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	125	3	split	split	VBN
work_ope6navdjndnnebvcd4hv3hj44	125	4	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	125	5	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	125	6	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	125	7	two	two	CD
work_ope6navdjndnnebvcd4hv3hj44	125	8	main	main	JJ
work_ope6navdjndnnebvcd4hv3hj44	125	9	parts	part	NNS
work_ope6navdjndnnebvcd4hv3hj44	125	10	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	126	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	126	2	first	first	JJ
work_ope6navdjndnnebvcd4hv3hj44	126	3	has	have	VBZ
work_ope6navdjndnnebvcd4hv3hj44	126	4	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	126	5	do	do	VB
work_ope6navdjndnnebvcd4hv3hj44	126	6	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	126	7	testing	test	VBG
work_ope6navdjndnnebvcd4hv3hj44	126	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	126	9	validity	validity	NN
work_ope6navdjndnnebvcd4hv3hj44	126	10	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	126	11	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	126	12	hypotheses	hypothesis	NNS
work_ope6navdjndnnebvcd4hv3hj44	126	13	described	describe	VBN
work_ope6navdjndnnebvcd4hv3hj44	126	14	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	126	15	Section	section	NN
work_ope6navdjndnnebvcd4hv3hj44	126	16	3.2	3.2	CD
work_ope6navdjndnnebvcd4hv3hj44	126	17	concerning	concern	VBG
work_ope6navdjndnnebvcd4hv3hj44	126	18	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	126	19	usage	usage	NN
work_ope6navdjndnnebvcd4hv3hj44	126	20	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	126	21	resampling	resample	VBG
work_ope6navdjndnnebvcd4hv3hj44	126	22	techniques	technique	NNS
work_ope6navdjndnnebvcd4hv3hj44	126	23	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	126	24	also	also	RB
work_ope6navdjndnnebvcd4hv3hj44	126	25	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	126	26	usage	usage	NN
work_ope6navdjndnnebvcd4hv3hj44	126	27	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	126	28	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	126	29	–	–	:
work_ope6navdjndnnebvcd4hv3hj44	126	30	benefit	benefit	NN
work_ope6navdjndnnebvcd4hv3hj44	126	31	matrices	matrix	NNS
work_ope6navdjndnnebvcd4hv3hj44	126	32	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	127	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	127	2	second	second	JJ
work_ope6navdjndnnebvcd4hv3hj44	127	3	part	part	NN
work_ope6navdjndnnebvcd4hv3hj44	127	4	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	127	5	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	127	6	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	127	7	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	127	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	127	9	final	final	JJ
work_ope6navdjndnnebvcd4hv3hj44	127	10	comparison	comparison	NN
work_ope6navdjndnnebvcd4hv3hj44	127	11	between	between	IN
work_ope6navdjndnnebvcd4hv3hj44	127	12	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	127	13	two	two	CD
work_ope6navdjndnnebvcd4hv3hj44	127	14	modeling	model	VBG
work_ope6navdjndnnebvcd4hv3hj44	127	15	approaches	approach	NNS
work_ope6navdjndnnebvcd4hv3hj44	127	16	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	127	17	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	127	18	target	target	NN
work_ope6navdjndnnebvcd4hv3hj44	127	19	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	127	20	problems	problem	NNS
work_ope6navdjndnnebvcd4hv3hj44	127	21	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	128	1	4.1	4.1	CD
work_ope6navdjndnnebvcd4hv3hj44	128	2	|	|	NNS
work_ope6navdjndnnebvcd4hv3hj44	128	3	Addressing	address	VBG
work_ope6navdjndnnebvcd4hv3hj44	128	4	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	128	5	particularities	particularity	NNS
work_ope6navdjndnnebvcd4hv3hj44	128	6	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	128	7	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	128	8	prediction	prediction	NN
work_ope6navdjndnnebvcd4hv3hj44	128	9	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	128	10	As	as	IN
work_ope6navdjndnnebvcd4hv3hj44	128	11	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	128	12	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	128	13	mentioned	mention	VBN
work_ope6navdjndnnebvcd4hv3hj44	128	14	before	before	RB
work_ope6navdjndnnebvcd4hv3hj44	128	15	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	128	16	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	128	17	prediction	prediction	NN
work_ope6navdjndnnebvcd4hv3hj44	128	18	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	128	19	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	128	20	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	128	21	facing	face	VBG
work_ope6navdjndnnebvcd4hv3hj44	128	22	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	128	23	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	128	24	particularities	particularity	NNS
work_ope6navdjndnnebvcd4hv3hj44	128	25	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	128	26	turn	turn	VBP
work_ope6navdjndnnebvcd4hv3hj44	128	27	them	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	128	28	into	into	IN
work_ope6navdjndnnebvcd4hv3hj44	128	29	particularly	particularly	RB
work_ope6navdjndnnebvcd4hv3hj44	128	30	challenging	challenge	VBG
work_ope6navdjndnnebvcd4hv3hj44	128	31	problems	problem	NNS
work_ope6navdjndnnebvcd4hv3hj44	128	32	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	129	1	We	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	129	2	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	129	3	described	describe	VBN
work_ope6navdjndnnebvcd4hv3hj44	129	4	two	two	CD
work_ope6navdjndnnebvcd4hv3hj44	129	5	ways	way	NNS
work_ope6navdjndnnebvcd4hv3hj44	129	6	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	129	7	trying	try	VBG
work_ope6navdjndnnebvcd4hv3hj44	129	8	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	129	9	overcome	overcome	VB
work_ope6navdjndnnebvcd4hv3hj44	129	10	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	129	11	challenges	challenge	NNS
work_ope6navdjndnnebvcd4hv3hj44	129	12	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	130	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	130	2	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	130	3	section	section	NN
work_ope6navdjndnnebvcd4hv3hj44	130	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	130	5	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	130	6	check	check	VBP
work_ope6navdjndnnebvcd4hv3hj44	130	7	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	130	8	validity	validity	NN
work_ope6navdjndnnebvcd4hv3hj44	130	9	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	130	10	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	130	11	hypotheses	hypothesis	NNS
work_ope6navdjndnnebvcd4hv3hj44	130	12	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	131	1	Specifically	specifically	RB
work_ope6navdjndnnebvcd4hv3hj44	131	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	131	3	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	131	4	test	test	VBP
work_ope6navdjndnnebvcd4hv3hj44	131	5	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	131	6	advantages	advantage	NNS
work_ope6navdjndnnebvcd4hv3hj44	131	7	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	131	8	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	131	9	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	131	10	a	a	LS
work_ope6navdjndnnebvcd4hv3hj44	131	11	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	131	12	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	131	13	SMOTE	SMOTE	NNP
work_ope6navdjndnnebvcd4hv3hj44	131	14	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	131	15	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	131	16	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	131	17	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	131	18	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	131	19	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	131	20	overcome	overcome	VB
work_ope6navdjndnnebvcd4hv3hj44	131	21	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	131	22	problem	problem	NN
work_ope6navdjndnnebvcd4hv3hj44	131	23	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	131	24	imbalanced	imbalanced	JJ
work_ope6navdjndnnebvcd4hv3hj44	131	25	distributions	distribution	NNS
work_ope6navdjndnnebvcd4hv3hj44	131	26	;	;	:
work_ope6navdjndnnebvcd4hv3hj44	131	27	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	131	28	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	131	29	b	b	NN
work_ope6navdjndnnebvcd4hv3hj44	131	30	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	131	31	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	131	32	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	131	33	–	–	:
work_ope6navdjndnnebvcd4hv3hj44	131	34	benefit	benefit	NN
work_ope6navdjndnnebvcd4hv3hj44	131	35	matrices	matrix	NNS
work_ope6navdjndnnebvcd4hv3hj44	131	36	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	131	37	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	131	38	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	131	39	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	131	40	provide	provide	VB
work_ope6navdjndnnebvcd4hv3hj44	131	41	information	information	NN
work_ope6navdjndnnebvcd4hv3hj44	131	42	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	131	43	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	131	44	different	different	JJ
work_ope6navdjndnnebvcd4hv3hj44	131	45	importance	importance	NN
work_ope6navdjndnnebvcd4hv3hj44	131	46	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	131	47	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	131	48	class	class	NN
work_ope6navdjndnnebvcd4hv3hj44	131	49	values	value	NNS
work_ope6navdjndnnebvcd4hv3hj44	131	50	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	132	1	BAÍA	BAÍA	NNS
work_ope6navdjndnnebvcd4hv3hj44	132	2	AND	and	CC
work_ope6navdjndnnebvcd4hv3hj44	132	3	TORGO	torgo	NN
work_ope6navdjndnnebvcd4hv3hj44	132	4	5	5	CD
work_ope6navdjndnnebvcd4hv3hj44	132	5	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	132	6	13	13	CD
work_ope6navdjndnnebvcd4hv3hj44	132	7	4.1.1	4.1.1	CD
work_ope6navdjndnnebvcd4hv3hj44	132	8	|	|	CD
work_ope6navdjndnnebvcd4hv3hj44	132	9	Hypothesis	hypothesis	NN
work_ope6navdjndnnebvcd4hv3hj44	132	10	1	1	CD
work_ope6navdjndnnebvcd4hv3hj44	132	11	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	132	12	Resampling	resample	VBG
work_ope6navdjndnnebvcd4hv3hj44	132	13	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	132	14	data	datum	NNS
work_ope6navdjndnnebvcd4hv3hj44	132	15	sets	set	VBZ
work_ope6navdjndnnebvcd4hv3hj44	132	16	Our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	132	17	first	first	JJ
work_ope6navdjndnnebvcd4hv3hj44	132	18	hypothesis	hypothesis	NN
work_ope6navdjndnnebvcd4hv3hj44	132	19	states	state	NNS
work_ope6navdjndnnebvcd4hv3hj44	132	20	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	132	21	resampling	resample	VBG
work_ope6navdjndnnebvcd4hv3hj44	132	22	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	132	23	data	data	NN
work_ope6navdjndnnebvcd4hv3hj44	132	24	sets	set	NNS
work_ope6navdjndnnebvcd4hv3hj44	132	25	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	132	26	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	132	27	goal	goal	NN
work_ope6navdjndnnebvcd4hv3hj44	132	28	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	132	29	balancing	balance	VBG
work_ope6navdjndnnebvcd4hv3hj44	132	30	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	132	31	response	response	NN
work_ope6navdjndnnebvcd4hv3hj44	132	32	variable	variable	JJ
work_ope6navdjndnnebvcd4hv3hj44	132	33	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	132	34	enhance	enhance	VB
work_ope6navdjndnnebvcd4hv3hj44	132	35	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	132	36	performance	performance	NN
work_ope6navdjndnnebvcd4hv3hj44	132	37	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	132	38	both	both	CC
work_ope6navdjndnnebvcd4hv3hj44	132	39	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	132	40	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	132	41	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	132	42	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	132	43	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	133	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	133	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	133	3	experiments	experiment	NNS
work_ope6navdjndnnebvcd4hv3hj44	133	4	carried	carry	VBN
work_ope6navdjndnnebvcd4hv3hj44	133	5	out	out	RP
work_ope6navdjndnnebvcd4hv3hj44	133	6	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	133	7	check	check	VB
work_ope6navdjndnnebvcd4hv3hj44	133	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	133	9	validity	validity	NN
work_ope6navdjndnnebvcd4hv3hj44	133	10	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	133	11	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	133	12	hypothesis	hypothesis	NN
work_ope6navdjndnnebvcd4hv3hj44	133	13	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	133	14	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	133	15	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	133	16	observed	observe	VBN
work_ope6navdjndnnebvcd4hv3hj44	133	17	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	133	18	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	133	19	way	way	NN
work_ope6navdjndnnebvcd4hv3hj44	133	20	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	133	21	resampling	resampling	NN
work_ope6navdjndnnebvcd4hv3hj44	133	22	affected	affect	VBD
work_ope6navdjndnnebvcd4hv3hj44	133	23	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	133	24	modeling	model	VBG
work_ope6navdjndnnebvcd4hv3hj44	133	25	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	133	26	was	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	133	27	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	133	28	significantly	significantly	RB
work_ope6navdjndnnebvcd4hv3hj44	133	29	different	different	JJ
work_ope6navdjndnnebvcd4hv3hj44	133	30	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	134	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	134	2	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	134	3	context	context	NN
work_ope6navdjndnnebvcd4hv3hj44	134	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	134	5	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	134	6	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	134	7	just	just	RB
work_ope6navdjndnnebvcd4hv3hj44	134	8	present	present	VB
work_ope6navdjndnnebvcd4hv3hj44	134	9	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	134	10	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	134	11	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	134	12	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	134	13	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	134	14	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	134	15	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	134	16	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	134	17	conclusions	conclusion	NNS
work_ope6navdjndnnebvcd4hv3hj44	134	18	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	134	19	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	134	20	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	134	21	were	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	134	22	similar	similar	JJ
work_ope6navdjndnnebvcd4hv3hj44	134	23	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	135	1	We	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	135	2	start	start	VBP
work_ope6navdjndnnebvcd4hv3hj44	135	3	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	135	4	comparing	compare	VBG
work_ope6navdjndnnebvcd4hv3hj44	135	5	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	135	6	top	top	JJ
work_ope6navdjndnnebvcd4hv3hj44	135	7	modeling	model	VBG
work_ope6navdjndnnebvcd4hv3hj44	135	8	variant	variant	NN
work_ope6navdjndnnebvcd4hv3hj44	135	9	obtained	obtain	VBN
work_ope6navdjndnnebvcd4hv3hj44	135	10	without	without	IN
work_ope6navdjndnnebvcd4hv3hj44	135	11	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	135	12	resampling	resample	VBG
work_ope6navdjndnnebvcd4hv3hj44	135	13	against	against	IN
work_ope6navdjndnnebvcd4hv3hj44	135	14	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	135	15	best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	135	16	one	one	CD
work_ope6navdjndnnebvcd4hv3hj44	135	17	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	135	18	SMOTE	SMOTE	NNP
work_ope6navdjndnnebvcd4hv3hj44	135	19	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	135	20	company	company	NN
work_ope6navdjndnnebvcd4hv3hj44	135	21	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	135	22	com-	com-	NN
work_ope6navdjndnnebvcd4hv3hj44	135	23	pany	pany	NN
work_ope6navdjndnnebvcd4hv3hj44	135	24	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	135	25	applying	apply	VBG
work_ope6navdjndnnebvcd4hv3hj44	135	26	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	135	27	Wilcoxon	Wilcoxon	NNP
work_ope6navdjndnnebvcd4hv3hj44	135	28	test	test	NN
work_ope6navdjndnnebvcd4hv3hj44	135	29	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	135	30	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	135	31	case	case	NN
work_ope6navdjndnnebvcd4hv3hj44	135	32	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	135	33	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	135	34	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	135	35	modeling	model	VBG
work_ope6navdjndnnebvcd4hv3hj44	135	36	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	135	37	individually	individually	RB
work_ope6navdjndnnebvcd4hv3hj44	135	38	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	135	39	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	136	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	136	2	Figure	figure	NN
work_ope6navdjndnnebvcd4hv3hj44	136	3	1	1	CD
work_ope6navdjndnnebvcd4hv3hj44	136	4	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	136	5	analyze	analyze	VBP
work_ope6navdjndnnebvcd4hv3hj44	136	6	recall	recall	NN
work_ope6navdjndnnebvcd4hv3hj44	136	7	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	136	8	precision	precision	NN
work_ope6navdjndnnebvcd4hv3hj44	136	9	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	136	10	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	136	11	buy	buy	VB
work_ope6navdjndnnebvcd4hv3hj44	136	12	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	136	13	sell	sell	VB
work_ope6navdjndnnebvcd4hv3hj44	136	14	signals	signal	NNS
work_ope6navdjndnnebvcd4hv3hj44	136	15	combined	combine	VBN
work_ope6navdjndnnebvcd4hv3hj44	136	16	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	137	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	137	2	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	137	3	were	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	137	4	somewhat	somewhat	RB
work_ope6navdjndnnebvcd4hv3hj44	137	5	expected	expect	VBN
work_ope6navdjndnnebvcd4hv3hj44	137	6	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	138	1	Resampling	resample	VBG
work_ope6navdjndnnebvcd4hv3hj44	138	2	methods	method	NNS
work_ope6navdjndnnebvcd4hv3hj44	138	3	balance	balance	VBP
work_ope6navdjndnnebvcd4hv3hj44	138	4	more	more	JJR
work_ope6navdjndnnebvcd4hv3hj44	138	5	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	138	6	distribution	distribution	NN
work_ope6navdjndnnebvcd4hv3hj44	138	7	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	138	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	138	9	target	target	NN
work_ope6navdjndnnebvcd4hv3hj44	138	10	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	138	11	which	which	WDT
work_ope6navdjndnnebvcd4hv3hj44	138	12	means	mean	VBZ
work_ope6navdjndnnebvcd4hv3hj44	138	13	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	138	14	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	138	15	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	138	16	have	have	VB
work_ope6navdjndnnebvcd4hv3hj44	138	17	more	more	JJR
work_ope6navdjndnnebvcd4hv3hj44	138	18	examples	example	NNS
work_ope6navdjndnnebvcd4hv3hj44	138	19	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	138	20	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	138	21	rare	rare	JJ
work_ope6navdjndnnebvcd4hv3hj44	138	22	cases	case	NNS
work_ope6navdjndnnebvcd4hv3hj44	138	23	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	138	24	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	138	25	interesting	interesting	JJ
work_ope6navdjndnnebvcd4hv3hj44	138	26	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	138	27	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	138	28	application	application	NN
work_ope6navdjndnnebvcd4hv3hj44	138	29	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	139	1	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	139	2	has	have	VBZ
work_ope6navdjndnnebvcd4hv3hj44	139	3	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	139	4	positive	positive	JJ
work_ope6navdjndnnebvcd4hv3hj44	139	5	impact	impact	NN
work_ope6navdjndnnebvcd4hv3hj44	139	6	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	139	7	recall	recall	NN
work_ope6navdjndnnebvcd4hv3hj44	139	8	because	because	IN
work_ope6navdjndnnebvcd4hv3hj44	139	9	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	139	10	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	139	11	end	end	VBP
work_ope6navdjndnnebvcd4hv3hj44	139	12	up	up	RP
work_ope6navdjndnnebvcd4hv3hj44	139	13	forecasting	forecasting	NN
work_ope6navdjndnnebvcd4hv3hj44	139	14	more	more	RBR
work_ope6navdjndnnebvcd4hv3hj44	139	15	frequently	frequently	RB
work_ope6navdjndnnebvcd4hv3hj44	139	16	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	139	17	events	event	NNS
work_ope6navdjndnnebvcd4hv3hj44	139	18	because	because	IN
work_ope6navdjndnnebvcd4hv3hj44	139	19	they	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	139	20	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	139	21	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	139	22	so	so	RB
work_ope6navdjndnnebvcd4hv3hj44	139	23	rare	rare	JJ
work_ope6navdjndnnebvcd4hv3hj44	139	24	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	139	25	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	139	26	re‐sampled	re‐sample	VBN
work_ope6navdjndnnebvcd4hv3hj44	139	27	training	training	NN
work_ope6navdjndnnebvcd4hv3hj44	139	28	sets	set	NNS
work_ope6navdjndnnebvcd4hv3hj44	139	29	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	140	1	However	however	RB
work_ope6navdjndnnebvcd4hv3hj44	140	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	140	3	due	due	IN
work_ope6navdjndnnebvcd4hv3hj44	140	4	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	140	5	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	140	6	inherent	inherent	JJ
work_ope6navdjndnnebvcd4hv3hj44	140	7	difficulty	difficulty	NN
work_ope6navdjndnnebvcd4hv3hj44	140	8	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	140	9	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	140	10	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	140	11	forecasting	forecasting	NN
work_ope6navdjndnnebvcd4hv3hj44	140	12	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	140	13	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	140	14	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	140	15	also	also	RB
work_ope6navdjndnnebvcd4hv3hj44	140	16	involves	involve	VBZ
work_ope6navdjndnnebvcd4hv3hj44	140	17	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	140	18	higher	high	JJR
work_ope6navdjndnnebvcd4hv3hj44	140	19	risk	risk	NN
work_ope6navdjndnnebvcd4hv3hj44	140	20	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	140	21	making	make	VBG
work_ope6navdjndnnebvcd4hv3hj44	140	22	wrong	wrong	JJ
work_ope6navdjndnnebvcd4hv3hj44	140	23	predictions	prediction	NNS
work_ope6navdjndnnebvcd4hv3hj44	140	24	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	140	25	thus	thus	RB
work_ope6navdjndnnebvcd4hv3hj44	140	26	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	140	27	decrease	decrease	NN
work_ope6navdjndnnebvcd4hv3hj44	140	28	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	140	29	precision	precision	NN
work_ope6navdjndnnebvcd4hv3hj44	140	30	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	141	1	Because	because	IN
work_ope6navdjndnnebvcd4hv3hj44	141	2	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	141	3	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	141	4	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	141	5	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	141	6	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	141	7	context	context	NN
work_ope6navdjndnnebvcd4hv3hj44	141	8	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	141	9	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	141	10	should	should	MD
work_ope6navdjndnnebvcd4hv3hj44	141	11	prefer	prefer	VB
work_ope6navdjndnnebvcd4hv3hj44	141	12	safer	safe	JJR
work_ope6navdjndnnebvcd4hv3hj44	141	13	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	141	14	rather	rather	RB
work_ope6navdjndnnebvcd4hv3hj44	141	15	than	than	IN
work_ope6navdjndnnebvcd4hv3hj44	141	16	riskier	risky	JJR
work_ope6navdjndnnebvcd4hv3hj44	141	17	ones	one	NNS
work_ope6navdjndnnebvcd4hv3hj44	141	18	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	142	1	However	however	RB
work_ope6navdjndnnebvcd4hv3hj44	142	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	142	3	only	only	RB
work_ope6navdjndnnebvcd4hv3hj44	142	4	after	after	IN
work_ope6navdjndnnebvcd4hv3hj44	142	5	checking	check	VBG
work_ope6navdjndnnebvcd4hv3hj44	142	6	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	142	7	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	142	8	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	142	9	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	142	10	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	142	11	strategies	strategy	NNS
work_ope6navdjndnnebvcd4hv3hj44	142	12	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	142	13	can	can	MD
work_ope6navdjndnnebvcd4hv3hj44	142	14	confirm	confirm	VB
work_ope6navdjndnnebvcd4hv3hj44	142	15	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	142	16	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	143	1	Nevertheless	nevertheless	RB
work_ope6navdjndnnebvcd4hv3hj44	143	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	143	3	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	143	4	should	should	MD
work_ope6navdjndnnebvcd4hv3hj44	143	5	reinforce	reinforce	VB
work_ope6navdjndnnebvcd4hv3hj44	143	6	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	143	7	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	143	8	issue	issue	NN
work_ope6navdjndnnebvcd4hv3hj44	143	9	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	143	10	preferring	prefer	VBG
work_ope6navdjndnnebvcd4hv3hj44	143	11	high	high	JJ
work_ope6navdjndnnebvcd4hv3hj44	143	12	precision	precision	NN
work_ope6navdjndnnebvcd4hv3hj44	143	13	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	143	14	less	less	JJR
work_ope6navdjndnnebvcd4hv3hj44	143	15	risk	risk	NN
work_ope6navdjndnnebvcd4hv3hj44	143	16	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	143	17	over	over	IN
work_ope6navdjndnnebvcd4hv3hj44	143	18	high	high	JJ
work_ope6navdjndnnebvcd4hv3hj44	143	19	recall	recall	NN
work_ope6navdjndnnebvcd4hv3hj44	143	20	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	143	21	something	something	NN
work_ope6navdjndnnebvcd4hv3hj44	143	22	specific	specific	JJ
work_ope6navdjndnnebvcd4hv3hj44	143	23	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	143	24	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	143	25	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	143	26	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	143	27	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	143	28	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	143	29	other	other	JJ
work_ope6navdjndnnebvcd4hv3hj44	143	30	application	application	NN
work_ope6navdjndnnebvcd4hv3hj44	143	31	domains	domain	NNS
work_ope6navdjndnnebvcd4hv3hj44	143	32	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	143	33	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	143	34	conclusions	conclusion	NNS
work_ope6navdjndnnebvcd4hv3hj44	143	35	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	143	36	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	143	37	usefulness	usefulness	NN
work_ope6navdjndnnebvcd4hv3hj44	143	38	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	143	39	resampling	resampling	NN
work_ope6navdjndnnebvcd4hv3hj44	143	40	could	could	MD
work_ope6navdjndnnebvcd4hv3hj44	143	41	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	143	42	different	different	JJ
work_ope6navdjndnnebvcd4hv3hj44	143	43	if	if	IN
work_ope6navdjndnnebvcd4hv3hj44	143	44	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	143	45	preference	preference	NN
work_ope6navdjndnnebvcd4hv3hj44	143	46	bias	bias	NN
work_ope6navdjndnnebvcd4hv3hj44	143	47	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	143	48	different	different	JJ
work_ope6navdjndnnebvcd4hv3hj44	143	49	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	144	1	FIGURE	FIGURE	NNP
work_ope6navdjndnnebvcd4hv3hj44	144	2	1	1	CD
work_ope6navdjndnnebvcd4hv3hj44	144	3	Best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	144	4	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	144	5	variant	variant	NN
work_ope6navdjndnnebvcd4hv3hj44	144	6	without	without	IN
work_ope6navdjndnnebvcd4hv3hj44	144	7	SMOTE	SMOTE	NNP
work_ope6navdjndnnebvcd4hv3hj44	144	8	against	against	IN
work_ope6navdjndnnebvcd4hv3hj44	144	9	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	144	10	best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	144	11	classif	classif	NNP
work_ope6navdjndnnebvcd4hv3hj44	144	12	rics	ric	NNS
work_ope6navdjndnnebvcd4hv3hj44	144	13	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	144	14	asterisks	asterisk	NNS
work_ope6navdjndnnebvcd4hv3hj44	144	15	denote	denote	VBP
work_ope6navdjndnnebvcd4hv3hj44	144	16	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	144	17	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	144	18	respective	respective	JJ
work_ope6navdjndnnebvcd4hv3hj44	144	19	variant	variant	NN
work_ope6navdjndnnebvcd4hv3hj44	144	20	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	144	21	significantly	significantly	RB
work_ope6navdjndnnebvcd4hv3hj44	144	22	better	well	JJR
work_ope6navdjndnnebvcd4hv3hj44	144	23	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	144	24	acco	acco	NN
work_ope6navdjndnnebvcd4hv3hj44	144	25	Figure	figure	NN
work_ope6navdjndnnebvcd4hv3hj44	144	26	2	2	CD
work_ope6navdjndnnebvcd4hv3hj44	144	27	allows	allow	VBZ
work_ope6navdjndnnebvcd4hv3hj44	144	28	us	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	144	29	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	144	30	analyze	analyze	VB
work_ope6navdjndnnebvcd4hv3hj44	144	31	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	144	32	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	144	33	consequences	consequence	NNS
work_ope6navdjndnnebvcd4hv3hj44	144	34	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	144	35	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	144	36	resampling	resample	VBG
work_ope6navdjndnnebvcd4hv3hj44	144	37	procedure	procedure	NN
work_ope6navdjndnnebvcd4hv3hj44	144	38	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	145	1	We	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	145	2	can	can	MD
work_ope6navdjndnnebvcd4hv3hj44	145	3	observe	observe	VB
work_ope6navdjndnnebvcd4hv3hj44	145	4	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	145	5	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	145	6	terms	term	NNS
work_ope6navdjndnnebvcd4hv3hj44	145	7	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	145	8	Total	Total	NNP
work_ope6navdjndnnebvcd4hv3hj44	145	9	Return	Return	NNP
work_ope6navdjndnnebvcd4hv3hj44	145	10	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	145	11	Sharpe	Sharpe	NNP
work_ope6navdjndnnebvcd4hv3hj44	145	12	Ratio	Ratio	NNP
work_ope6navdjndnnebvcd4hv3hj44	145	13	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	145	14	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	145	15	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	145	16	applied	apply	VBN
work_ope6navdjndnnebvcd4hv3hj44	145	17	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	145	18	data	data	NN
work_ope6navdjndnnebvcd4hv3hj44	145	19	sets	set	NNS
work_ope6navdjndnnebvcd4hv3hj44	145	20	without	without	IN
work_ope6navdjndnnebvcd4hv3hj44	145	21	any	any	DT
work_ope6navdjndnnebvcd4hv3hj44	145	22	resampling	resampling	NN
work_ope6navdjndnnebvcd4hv3hj44	145	23	achieved	achieve	VBN
work_ope6navdjndnnebvcd4hv3hj44	145	24	significantly	significantly	RB
work_ope6navdjndnnebvcd4hv3hj44	145	25	better	well	JJR
work_ope6navdjndnnebvcd4hv3hj44	145	26	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	145	27	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	145	28	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	145	29	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	145	30	several	several	JJ
work_ope6navdjndnnebvcd4hv3hj44	145	31	cases	case	NNS
work_ope6navdjndnnebvcd4hv3hj44	145	32	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	145	33	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	145	34	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	145	35	large	large	JJ
work_ope6navdjndnnebvcd4hv3hj44	145	36	margin	margin	NN
work_ope6navdjndnnebvcd4hv3hj44	145	37	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	146	1	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	146	2	means	mean	VBZ
work_ope6navdjndnnebvcd4hv3hj44	146	3	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	146	4	pre‐processing	pre‐processe	VBG
work_ope6navdjndnnebvcd4hv3hj44	146	5	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	146	6	data	datum	NNS
work_ope6navdjndnnebvcd4hv3hj44	146	7	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	146	8	resampling	resampling	NN
work_ope6navdjndnnebvcd4hv3hj44	146	9	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	146	10	leading	lead	VBG
work_ope6navdjndnnebvcd4hv3hj44	146	11	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	146	12	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	146	13	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	146	14	make	make	VBP
work_ope6navdjndnnebvcd4hv3hj44	146	15	more	more	RBR
work_ope6navdjndnnebvcd4hv3hj44	146	16	risky	risky	JJ
work_ope6navdjndnnebvcd4hv3hj44	146	17	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	146	18	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	146	19	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	146	20	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	146	21	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	146	22	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	146	23	often	often	RB
work_ope6navdjndnnebvcd4hv3hj44	146	24	wrong	wrong	JJ
work_ope6navdjndnnebvcd4hv3hj44	146	25	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	146	26	leading	lead	VBG
work_ope6navdjndnnebvcd4hv3hj44	146	27	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	146	28	serious	serious	JJ
work_ope6navdjndnnebvcd4hv3hj44	146	29	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	146	30	losses	loss	NNS
work_ope6navdjndnnebvcd4hv3hj44	146	31	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	147	1	Considering	consider	VBG
work_ope6navdjndnnebvcd4hv3hj44	147	2	all	all	PDT
work_ope6navdjndnnebvcd4hv3hj44	147	3	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	147	4	plots	plot	NNS
work_ope6navdjndnnebvcd4hv3hj44	147	5	at	at	IN
work_ope6navdjndnnebvcd4hv3hj44	147	6	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	147	7	same	same	JJ
work_ope6navdjndnnebvcd4hv3hj44	147	8	time	time	NN
work_ope6navdjndnnebvcd4hv3hj44	147	9	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	147	10	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	147	11	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	147	12	provide	provide	VBP
work_ope6navdjndnnebvcd4hv3hj44	147	13	evidence	evidence	NN
work_ope6navdjndnnebvcd4hv3hj44	147	14	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	147	15	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	147	16	SMOTE	SMOTE	NNP
work_ope6navdjndnnebvcd4hv3hj44	147	17	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	147	18	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	147	19	training	training	NN
work_ope6navdjndnnebvcd4hv3hj44	147	20	data	datum	NNS
work_ope6navdjndnnebvcd4hv3hj44	147	21	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	147	22	make	make	VB
work_ope6navdjndnnebvcd4hv3hj44	147	23	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	147	24	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	147	25	predict	predict	VB
work_ope6navdjndnnebvcd4hv3hj44	147	26	significantly	significantly	RB
work_ope6navdjndnnebvcd4hv3hj44	147	27	more	more	JJR
work_ope6navdjndnnebvcd4hv3hj44	147	28	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	147	29	signals	signal	NNS
work_ope6navdjndnnebvcd4hv3hj44	147	30	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	147	31	Buy	buy	VB
work_ope6navdjndnnebvcd4hv3hj44	147	32	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	147	33	Sell	sell	VB
work_ope6navdjndnnebvcd4hv3hj44	147	34	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	147	35	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	148	1	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	148	2	leads	lead	VBZ
work_ope6navdjndnnebvcd4hv3hj44	148	3	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	148	4	higher	high	JJR
work_ope6navdjndnnebvcd4hv3hj44	148	5	recall	recall	NN
work_ope6navdjndnnebvcd4hv3hj44	148	6	but	but	CC
work_ope6navdjndnnebvcd4hv3hj44	148	7	unfortunately	unfortunately	RB
work_ope6navdjndnnebvcd4hv3hj44	148	8	also	also	RB
work_ope6navdjndnnebvcd4hv3hj44	148	9	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	148	10	much	much	RB
work_ope6navdjndnnebvcd4hv3hj44	148	11	lower	low	JJR
work_ope6navdjndnnebvcd4hv3hj44	148	12	precision	precision	NN
work_ope6navdjndnnebvcd4hv3hj44	148	13	because	because	IN
work_ope6navdjndnnebvcd4hv3hj44	148	14	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	148	15	signals	signal	NNS
work_ope6navdjndnnebvcd4hv3hj44	148	16	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	148	17	frequently	frequently	RB
work_ope6navdjndnnebvcd4hv3hj44	148	18	wrong	wrong	JJ
work_ope6navdjndnnebvcd4hv3hj44	148	19	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	148	20	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	148	21	serious	serious	JJ
work_ope6navdjndnnebvcd4hv3hj44	148	22	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	148	23	consequences	consequence	NNS
work_ope6navdjndnnebvcd4hv3hj44	148	24	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	149	1	However	however	RB
work_ope6navdjndnnebvcd4hv3hj44	149	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	149	3	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	149	4	should	should	MD
work_ope6navdjndnnebvcd4hv3hj44	149	5	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	149	6	forget	forget	VB
work_ope6navdjndnnebvcd4hv3hj44	149	7	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	149	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	149	9	previous	previous	JJ
work_ope6navdjndnnebvcd4hv3hj44	149	10	comparisons	comparison	NNS
work_ope6navdjndnnebvcd4hv3hj44	149	11	were	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	149	12	carried	carry	VBN
work_ope6navdjndnnebvcd4hv3hj44	149	13	out	out	RP
work_ope6navdjndnnebvcd4hv3hj44	149	14	between	between	IN
work_ope6navdjndnnebvcd4hv3hj44	149	15	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	149	16	best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	149	17	overall	overall	JJ
work_ope6navdjndnnebvcd4hv3hj44	149	18	variant	variant	NN
work_ope6navdjndnnebvcd4hv3hj44	149	19	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	149	20	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	149	21	type	type	NN
work_ope6navdjndnnebvcd4hv3hj44	149	22	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	149	23	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	149	24	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	149	25	without	without	IN
work_ope6navdjndnnebvcd4hv3hj44	149	26	SMOTE	SMOTE	NNP
work_ope6navdjndnnebvcd4hv3hj44	149	27	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	149	28	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	150	1	A	a	DT
work_ope6navdjndnnebvcd4hv3hj44	150	2	different	different	JJ
work_ope6navdjndnnebvcd4hv3hj44	150	3	question	question	NN
work_ope6navdjndnnebvcd4hv3hj44	150	4	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	150	5	whether	whether	IN
work_ope6navdjndnnebvcd4hv3hj44	150	6	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	150	7	same	same	JJ
work_ope6navdjndnnebvcd4hv3hj44	150	8	conclusions	conclusion	NNS
work_ope6navdjndnnebvcd4hv3hj44	150	9	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	150	10	valid	valid	JJ
work_ope6navdjndnnebvcd4hv3hj44	150	11	if	if	IN
work_ope6navdjndnnebvcd4hv3hj44	150	12	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	150	13	consider	consider	VBP
work_ope6navdjndnnebvcd4hv3hj44	150	14	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	150	15	modeling	modeling	NN
work_ope6navdjndnnebvcd4hv3hj44	150	16	technique	technique	NN
work_ope6navdjndnnebvcd4hv3hj44	150	17	individually	individually	RB
work_ope6navdjndnnebvcd4hv3hj44	150	18	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	151	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	151	2	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	151	3	context	context	NN
work_ope6navdjndnnebvcd4hv3hj44	151	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	151	5	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	151	6	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	151	7	now	now	RB
work_ope6navdjndnnebvcd4hv3hj44	151	8	check	check	VB
work_ope6navdjndnnebvcd4hv3hj44	151	9	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	151	10	resampling	resample	VBG
work_ope6navdjndnnebvcd4hv3hj44	151	11	hypothesis	hypothesis	NN
work_ope6navdjndnnebvcd4hv3hj44	151	12	per	per	IN
work_ope6navdjndnnebvcd4hv3hj44	151	13	type	type	NN
work_ope6navdjndnnebvcd4hv3hj44	151	14	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	151	15	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	151	16	instead	instead	RB
work_ope6navdjndnnebvcd4hv3hj44	151	17	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	151	18	globally	globally	RB
work_ope6navdjndnnebvcd4hv3hj44	151	19	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	152	1	We	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	152	2	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	152	3	group	group	VB
work_ope6navdjndnnebvcd4hv3hj44	152	4	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	152	5	variants	variant	NNS
work_ope6navdjndnnebvcd4hv3hj44	152	6	according	accord	VBG
work_ope6navdjndnnebvcd4hv3hj44	152	7	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	152	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	152	9	type	type	NN
work_ope6navdjndnnebvcd4hv3hj44	152	10	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	152	11	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	152	12	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	152	13	analyze	analyze	VB
work_ope6navdjndnnebvcd4hv3hj44	152	14	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	152	15	impact	impact	NN
work_ope6navdjndnnebvcd4hv3hj44	152	16	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	152	17	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	152	18	SMOTE	SMOTE	NNP
work_ope6navdjndnnebvcd4hv3hj44	152	19	per	per	IN
work_ope6navdjndnnebvcd4hv3hj44	152	20	type	type	NN
work_ope6navdjndnnebvcd4hv3hj44	152	21	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	152	22	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	152	23	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	153	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	153	2	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	153	3	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	153	4	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	153	5	new	new	JJ
work_ope6navdjndnnebvcd4hv3hj44	153	6	set	set	NN
work_ope6navdjndnnebvcd4hv3hj44	153	7	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	153	8	comparisons	comparison	NNS
work_ope6navdjndnnebvcd4hv3hj44	153	9	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	153	10	shown	show	VBN
work_ope6navdjndnnebvcd4hv3hj44	153	11	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	153	12	Figure	Figure	NNP
work_ope6navdjndnnebvcd4hv3hj44	153	13	3	3	CD
work_ope6navdjndnnebvcd4hv3hj44	153	14	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	154	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	154	2	first	first	JJ
work_ope6navdjndnnebvcd4hv3hj44	154	3	thing	thing	NN
work_ope6navdjndnnebvcd4hv3hj44	154	4	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	154	5	notice	notice	VB
work_ope6navdjndnnebvcd4hv3hj44	154	6	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	154	7	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	154	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	154	9	recall	recall	NN
work_ope6navdjndnnebvcd4hv3hj44	154	10	was	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	154	11	significantly	significantly	RB
work_ope6navdjndnnebvcd4hv3hj44	154	12	better	well	JJR
work_ope6navdjndnnebvcd4hv3hj44	154	13	every	every	DT
work_ope6navdjndnnebvcd4hv3hj44	154	14	single	single	JJ
work_ope6navdjndnnebvcd4hv3hj44	154	15	time	time	NN
work_ope6navdjndnnebvcd4hv3hj44	154	16	across	across	IN
work_ope6navdjndnnebvcd4hv3hj44	154	17	all	all	DT
work_ope6navdjndnnebvcd4hv3hj44	154	18	types	type	NNS
work_ope6navdjndnnebvcd4hv3hj44	154	19	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	154	20	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	154	21	where	where	WRB
work_ope6navdjndnnebvcd4hv3hj44	154	22	resampling	resample	VBG
work_ope6navdjndnnebvcd4hv3hj44	154	23	was	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	154	24	applied	apply	VBN
work_ope6navdjndnnebvcd4hv3hj44	154	25	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	155	1	On	on	IN
work_ope6navdjndnnebvcd4hv3hj44	155	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	155	3	other	other	JJ
work_ope6navdjndnnebvcd4hv3hj44	155	4	hand	hand	NN
work_ope6navdjndnnebvcd4hv3hj44	155	5	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	155	6	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	155	7	precision	precision	NN
work_ope6navdjndnnebvcd4hv3hj44	155	8	was	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	155	9	worse	bad	JJR
work_ope6navdjndnnebvcd4hv3hj44	155	10	almost	almost	RB
work_ope6navdjndnnebvcd4hv3hj44	155	11	every	every	DT
work_ope6navdjndnnebvcd4hv3hj44	155	12	time	time	NN
work_ope6navdjndnnebvcd4hv3hj44	155	13	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	155	14	except	except	IN
work_ope6navdjndnnebvcd4hv3hj44	155	15	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	155	16	SVMs	svm	NNS
work_ope6navdjndnnebvcd4hv3hj44	155	17	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	156	1	So	so	RB
work_ope6navdjndnnebvcd4hv3hj44	156	2	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	156	3	again	again	RB
work_ope6navdjndnnebvcd4hv3hj44	156	4	observe	observe	VBP
work_ope6navdjndnnebvcd4hv3hj44	156	5	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	156	6	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	156	7	use	use	NN
work_ope6navdjndnnebvcd4hv3hj44	156	8	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	156	9	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	156	10	SMOTE	SMOTE	NNP
work_ope6navdjndnnebvcd4hv3hj44	156	11	algorithm	algorithm	NNP
work_ope6navdjndnnebvcd4hv3hj44	156	12	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	156	13	making	make	VBG
work_ope6navdjndnnebvcd4hv3hj44	156	14	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	156	15	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	156	16	more	more	RBR
work_ope6navdjndnnebvcd4hv3hj44	156	17	capable	capable	JJ
work_ope6navdjndnnebvcd4hv3hj44	156	18	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	156	19	detecting	detect	VBG
work_ope6navdjndnnebvcd4hv3hj44	156	20	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	156	21	buy	buy	VB
work_ope6navdjndnnebvcd4hv3hj44	156	22	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	156	23	sell	sell	VB
work_ope6navdjndnnebvcd4hv3hj44	156	24	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	156	25	rare	rare	JJ
work_ope6navdjndnnebvcd4hv3hj44	156	26	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	156	27	classes	class	NNS
work_ope6navdjndnnebvcd4hv3hj44	156	28	at	at	IN
work_ope6navdjndnnebvcd4hv3hj44	156	29	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	156	30	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	156	31	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	156	32	riskier	risky	JJR
work_ope6navdjndnnebvcd4hv3hj44	156	33	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	156	34	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	156	35	except	except	IN
work_ope6navdjndnnebvcd4hv3hj44	156	36	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	156	37	SMVs	smv	NNS
work_ope6navdjndnnebvcd4hv3hj44	156	38	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	156	39	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	157	1	Concerning	concern	VBG
work_ope6navdjndnnebvcd4hv3hj44	157	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	157	3	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	157	4	metrics	metric	NNS
work_ope6navdjndnnebvcd4hv3hj44	157	5	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	157	6	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	157	7	observe	observe	VBP
work_ope6navdjndnnebvcd4hv3hj44	157	8	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	157	9	clear	clear	JJ
work_ope6navdjndnnebvcd4hv3hj44	157	10	ication	ication	NN
work_ope6navdjndnnebvcd4hv3hj44	157	11	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	157	12	SMOTE	SMOTE	NNP
work_ope6navdjndnnebvcd4hv3hj44	157	13	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	157	14	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	157	15	macro	macro	JJ
work_ope6navdjndnnebvcd4hv3hj44	157	16	versions	version	NNS
work_ope6navdjndnnebvcd4hv3hj44	157	17	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	157	18	Precision	Precision	NNP
work_ope6navdjndnnebvcd4hv3hj44	157	19	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	157	20	Recall	Recall	NNP
work_ope6navdjndnnebvcd4hv3hj44	157	21	met-	met-	NN
work_ope6navdjndnnebvcd4hv3hj44	157	22	rding	rde	VBG
work_ope6navdjndnnebvcd4hv3hj44	157	23	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	157	24	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	157	25	Wilcoxon	Wilcoxon	NNP
work_ope6navdjndnnebvcd4hv3hj44	157	26	test	test	NN
work_ope6navdjndnnebvcd4hv3hj44	157	27	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	157	28	α	α	XX
work_ope6navdjndnnebvcd4hv3hj44	157	29	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	157	30	0.05	0.05	CD
work_ope6navdjndnnebvcd4hv3hj44	157	31	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	157	32	FIGURE	FIGURE	NNP
work_ope6navdjndnnebvcd4hv3hj44	157	33	2	2	CD
work_ope6navdjndnnebvcd4hv3hj44	157	34	Best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	157	35	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	157	36	variant	variant	NN
work_ope6navdjndnnebvcd4hv3hj44	157	37	without	without	IN
work_ope6navdjndnnebvcd4hv3hj44	157	38	SMOTE	SMOTE	NNP
work_ope6navdjndnnebvcd4hv3hj44	157	39	against	against	IN
work_ope6navdjndnnebvcd4hv3hj44	157	40	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	157	41	best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	157	42	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	157	43	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	157	44	SMOTE	SMOTE	NNP
work_ope6navdjndnnebvcd4hv3hj44	157	45	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	157	46	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	157	47	Total	Total	NNP
work_ope6navdjndnnebvcd4hv3hj44	157	48	Return	Return	NNP
work_ope6navdjndnnebvcd4hv3hj44	157	49	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	157	50	Annualized	Annualized	NNP
work_ope6navdjndnnebvcd4hv3hj44	157	51	Sharpe	Sharpe	NNP
work_ope6navdjndnnebvcd4hv3hj44	157	52	Ratio	Ratio	NNP
work_ope6navdjndnnebvcd4hv3hj44	157	53	metrics	metric	NNS
work_ope6navdjndnnebvcd4hv3hj44	157	54	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	157	55	asterisks	asterisk	NNS
work_ope6navdjndnnebvcd4hv3hj44	157	56	denote	denote	VBP
work_ope6navdjndnnebvcd4hv3hj44	157	57	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	157	58	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	157	59	respective	respective	JJ
work_ope6navdjndnnebvcd4hv3hj44	157	60	variant	variant	NN
work_ope6navdjndnnebvcd4hv3hj44	157	61	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	157	62	significantly	significantly	RB
work_ope6navdjndnnebvcd4hv3hj44	157	63	better	well	JJR
work_ope6navdjndnnebvcd4hv3hj44	157	64	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	157	65	according	accord	VBG
work_ope6navdjndnnebvcd4hv3hj44	157	66	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	157	67	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	157	68	Wilcoxon	Wilcoxon	NNP
work_ope6navdjndnnebvcd4hv3hj44	157	69	test	test	NN
work_ope6navdjndnnebvcd4hv3hj44	157	70	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	157	71	α	α	XX
work_ope6navdjndnnebvcd4hv3hj44	157	72	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	157	73	0.05	0.05	CD
work_ope6navdjndnnebvcd4hv3hj44	157	74	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	157	75	FIGURE	FIGURE	NNP
work_ope6navdjndnnebvcd4hv3hj44	157	76	3	3	CD
work_ope6navdjndnnebvcd4hv3hj44	157	77	Segmented	segment	VBN
work_ope6navdjndnnebvcd4hv3hj44	157	78	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	157	79	type	type	NN
work_ope6navdjndnnebvcd4hv3hj44	157	80	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	157	81	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	157	82	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	157	83	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	157	84	metric	metric	JJ
work_ope6navdjndnnebvcd4hv3hj44	157	85	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	157	86	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	157	87	Wilcoxon	Wilcoxon	NNP
work_ope6navdjndnnebvcd4hv3hj44	157	88	test	test	NN
work_ope6navdjndnnebvcd4hv3hj44	157	89	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	157	90	performed	perform	VBN
work_ope6navdjndnnebvcd4hv3hj44	157	91	between	between	IN
work_ope6navdjndnnebvcd4hv3hj44	157	92	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	157	93	best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	157	94	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	157	95	variant	variant	JJ
work_ope6navdjndnnebvcd4hv3hj44	157	96	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	157	97	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	157	98	modeling	model	VBG
work_ope6navdjndnnebvcd4hv3hj44	157	99	tool	tool	NN
work_ope6navdjndnnebvcd4hv3hj44	157	100	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	157	101	Classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	157	102	without	without	IN
work_ope6navdjndnnebvcd4hv3hj44	157	103	SMOTE	SMOTE	NNP
work_ope6navdjndnnebvcd4hv3hj44	157	104	versus	versus	IN
work_ope6navdjndnnebvcd4hv3hj44	157	105	Classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	157	106	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	157	107	SMOTE	SMOTE	NNP
work_ope6navdjndnnebvcd4hv3hj44	157	108	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	157	109	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	158	1	Because	because	IN
work_ope6navdjndnnebvcd4hv3hj44	158	2	there	there	EX
work_ope6navdjndnnebvcd4hv3hj44	158	3	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	158	4	12	12	CD
work_ope6navdjndnnebvcd4hv3hj44	158	5	datasets	dataset	NNS
work_ope6navdjndnnebvcd4hv3hj44	158	6	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	158	7	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	158	8	segment	segment	NN
work_ope6navdjndnnebvcd4hv3hj44	158	9	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	158	10	then	then	RB
work_ope6navdjndnnebvcd4hv3hj44	158	11	there	there	EX
work_ope6navdjndnnebvcd4hv3hj44	158	12	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	158	13	12	12	CD
work_ope6navdjndnnebvcd4hv3hj44	158	14	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	158	15	per	per	IN
work_ope6navdjndnnebvcd4hv3hj44	158	16	segment	segment	NN
work_ope6navdjndnnebvcd4hv3hj44	158	17	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	159	1	Each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	159	2	bar	bar	NN
work_ope6navdjndnnebvcd4hv3hj44	159	3	shows	show	VBZ
work_ope6navdjndnnebvcd4hv3hj44	159	4	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	159	5	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	159	6	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	159	7	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	159	8	segment	segment	NN
work_ope6navdjndnnebvcd4hv3hj44	159	9	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	159	10	where	where	WRB
work_ope6navdjndnnebvcd4hv3hj44	159	11	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	159	12	one	one	CD
work_ope6navdjndnnebvcd4hv3hj44	159	13	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	159	14	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	159	15	four	four	CD
work_ope6navdjndnnebvcd4hv3hj44	159	16	colors	color	NNS
work_ope6navdjndnnebvcd4hv3hj44	159	17	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	159	18	associated	associate	VBN
work_ope6navdjndnnebvcd4hv3hj44	159	19	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	159	20	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	159	21	type	type	NN
work_ope6navdjndnnebvcd4hv3hj44	159	22	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	159	23	win	win	NN
work_ope6navdjndnnebvcd4hv3hj44	159	24	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	159	25	significant	significant	JJ
work_ope6navdjndnnebvcd4hv3hj44	159	26	/	/	SYM
work_ope6navdjndnnebvcd4hv3hj44	159	27	non‐significant	non‐significant	FW
work_ope6navdjndnnebvcd4hv3hj44	159	28	win	win	NN
work_ope6navdjndnnebvcd4hv3hj44	159	29	without	without	IN
work_ope6navdjndnnebvcd4hv3hj44	159	30	SMOTE	SMOTE	NNP
work_ope6navdjndnnebvcd4hv3hj44	159	31	‐	‐	NNP
work_ope6navdjndnnebvcd4hv3hj44	159	32	strong	strong	JJ
work_ope6navdjndnnebvcd4hv3hj44	159	33	/	/	SYM
work_ope6navdjndnnebvcd4hv3hj44	159	34	light	light	JJ
work_ope6navdjndnnebvcd4hv3hj44	159	35	blue	blue	NN
work_ope6navdjndnnebvcd4hv3hj44	159	36	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	159	37	non‐	non‐	RB
work_ope6navdjndnnebvcd4hv3hj44	159	38	significant	significant	JJ
work_ope6navdjndnnebvcd4hv3hj44	159	39	/	/	SYM
work_ope6navdjndnnebvcd4hv3hj44	159	40	significant	significant	JJ
work_ope6navdjndnnebvcd4hv3hj44	159	41	win	win	NN
work_ope6navdjndnnebvcd4hv3hj44	159	42	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	159	43	SMOTE	SMOTE	NNP
work_ope6navdjndnnebvcd4hv3hj44	159	44	‐	‐	NNP
work_ope6navdjndnnebvcd4hv3hj44	159	45	light/	light/	CD
work_ope6navdjndnnebvcd4hv3hj44	159	46	strong	strong	JJ
work_ope6navdjndnnebvcd4hv3hj44	159	47	green	green	NN
work_ope6navdjndnnebvcd4hv3hj44	159	48	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	159	49	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	160	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	160	2	length	length	NN
work_ope6navdjndnnebvcd4hv3hj44	160	3	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	160	4	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	160	5	color	color	NN
work_ope6navdjndnnebvcd4hv3hj44	160	6	describes	describe	VBZ
work_ope6navdjndnnebvcd4hv3hj44	160	7	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	160	8	number	number	NN
work_ope6navdjndnnebvcd4hv3hj44	160	9	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	160	10	times	time	NNS
work_ope6navdjndnnebvcd4hv3hj44	160	11	that	that	DT
work_ope6navdjndnnebvcd4hv3hj44	160	12	type	type	NN
work_ope6navdjndnnebvcd4hv3hj44	160	13	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	160	14	win	win	NN
work_ope6navdjndnnebvcd4hv3hj44	160	15	occurred	occur	VBD
work_ope6navdjndnnebvcd4hv3hj44	160	16	6	6	CD
work_ope6navdjndnnebvcd4hv3hj44	160	17	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	160	18	13	13	CD
work_ope6navdjndnnebvcd4hv3hj44	160	19	BAÍA	BAÍA	NNS
work_ope6navdjndnnebvcd4hv3hj44	160	20	AND	and	CC
work_ope6navdjndnnebvcd4hv3hj44	160	21	TORGO	torgo	NN
work_ope6navdjndnnebvcd4hv3hj44	160	22	advantage	advantage	NN
work_ope6navdjndnnebvcd4hv3hj44	160	23	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	160	24	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	160	25	standard	standard	JJ
work_ope6navdjndnnebvcd4hv3hj44	160	26	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	160	27	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	160	28	i.e.	i.e.	FW
work_ope6navdjndnnebvcd4hv3hj44	160	29	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	160	30	no	no	DT
work_ope6navdjndnnebvcd4hv3hj44	160	31	resampling	resample	VBG
work_ope6navdjndnnebvcd4hv3hj44	160	32	applied	apply	VBD
work_ope6navdjndnnebvcd4hv3hj44	160	33	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	160	34	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	160	35	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	160	36	SVM	SVM	NNP
work_ope6navdjndnnebvcd4hv3hj44	160	37	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	160	38	AdaBoost	AdaBoost	NNP
work_ope6navdjndnnebvcd4hv3hj44	160	39	being	be	VBG
work_ope6navdjndnnebvcd4hv3hj44	160	40	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	160	41	only	only	JJ
work_ope6navdjndnnebvcd4hv3hj44	160	42	algorithms	algorithm	NNS
work_ope6navdjndnnebvcd4hv3hj44	160	43	benefiting	benefit	VBG
work_ope6navdjndnnebvcd4hv3hj44	160	44	from	from	IN
work_ope6navdjndnnebvcd4hv3hj44	160	45	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	160	46	use	use	NN
work_ope6navdjndnnebvcd4hv3hj44	160	47	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	160	48	resampling	resample	VBG
work_ope6navdjndnnebvcd4hv3hj44	160	49	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	160	50	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	160	51	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	160	52	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	160	53	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	160	54	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	160	55	advantage	advantage	NN
work_ope6navdjndnnebvcd4hv3hj44	160	56	being	be	VBG
work_ope6navdjndnnebvcd4hv3hj44	160	57	more	more	RBR
work_ope6navdjndnnebvcd4hv3hj44	160	58	evident	evident	JJ
work_ope6navdjndnnebvcd4hv3hj44	160	59	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	160	60	SVMs	svm	NNS
work_ope6navdjndnnebvcd4hv3hj44	160	61	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	161	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	161	2	summary	summary	NN
work_ope6navdjndnnebvcd4hv3hj44	161	3	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	161	4	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	161	5	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	161	6	collected	collect	VBN
work_ope6navdjndnnebvcd4hv3hj44	161	7	sufficient	sufficient	JJ
work_ope6navdjndnnebvcd4hv3hj44	161	8	evidence	evidence	NN
work_ope6navdjndnnebvcd4hv3hj44	161	9	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	161	10	conclude	conclude	VB
work_ope6navdjndnnebvcd4hv3hj44	161	11	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	161	12	resampling	resample	VBG
work_ope6navdjndnnebvcd4hv3hj44	161	13	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	161	14	data	data	NN
work_ope6navdjndnnebvcd4hv3hj44	161	15	sets	set	NNS
work_ope6navdjndnnebvcd4hv3hj44	161	16	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	161	17	both	both	CC
work_ope6navdjndnnebvcd4hv3hj44	161	18	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	161	19	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	161	20	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	161	21	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	161	22	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	161	23	have	have	VB
work_ope6navdjndnnebvcd4hv3hj44	161	24	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	161	25	negative	negative	JJ
work_ope6navdjndnnebvcd4hv3hj44	161	26	impact	impact	NN
work_ope6navdjndnnebvcd4hv3hj44	161	27	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	161	28	their	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	161	29	performance	performance	NN
work_ope6navdjndnnebvcd4hv3hj44	161	30	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	161	31	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	161	32	context	context	NN
work_ope6navdjndnnebvcd4hv3hj44	161	33	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	161	34	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	161	35	forecasting	forecasting	NN
work_ope6navdjndnnebvcd4hv3hj44	161	36	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	161	37	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	161	38	namely	namely	RB
work_ope6navdjndnnebvcd4hv3hj44	161	39	when	when	WRB
work_ope6navdjndnnebvcd4hv3hj44	161	40	considering	consider	VBG
work_ope6navdjndnnebvcd4hv3hj44	161	41	BAÍA	BAÍA	NNP
work_ope6navdjndnnebvcd4hv3hj44	161	42	AND	and	CC
work_ope6navdjndnnebvcd4hv3hj44	161	43	TORGO	torgo	NN
work_ope6navdjndnnebvcd4hv3hj44	161	44	7	7	CD
work_ope6navdjndnnebvcd4hv3hj44	161	45	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	161	46	13	13	CD
work_ope6navdjndnnebvcd4hv3hj44	161	47	trading‐related	trading‐related	JJ
work_ope6navdjndnnebvcd4hv3hj44	161	48	evaluation	evaluation	NN
work_ope6navdjndnnebvcd4hv3hj44	161	49	metrics	metric	NNS
work_ope6navdjndnnebvcd4hv3hj44	161	50	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	162	1	Only	only	RB
work_ope6navdjndnnebvcd4hv3hj44	162	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	162	3	SVM	SVM	NNP
work_ope6navdjndnnebvcd4hv3hj44	162	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	162	5	TREE	TREE	NNP
work_ope6navdjndnnebvcd4hv3hj44	162	6	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	162	7	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	162	8	AdaBoost	AdaBoost	NNP
work_ope6navdjndnnebvcd4hv3hj44	162	9	algorithms	algorithm	NNS
work_ope6navdjndnnebvcd4hv3hj44	162	10	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	162	11	benefited	benefit	VBN
work_ope6navdjndnnebvcd4hv3hj44	162	12	from	from	IN
work_ope6navdjndnnebvcd4hv3hj44	162	13	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	162	14	resampling	resampling	NN
work_ope6navdjndnnebvcd4hv3hj44	162	15	method	method	NN
work_ope6navdjndnnebvcd4hv3hj44	162	16	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	162	17	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	162	18	small	small	JJ
work_ope6navdjndnnebvcd4hv3hj44	162	19	set	set	NN
work_ope6navdjndnnebvcd4hv3hj44	162	20	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	162	21	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	162	22	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	163	1	Overall	overall	RB
work_ope6navdjndnnebvcd4hv3hj44	163	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	163	3	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	163	4	conclusion	conclusion	NN
work_ope6navdjndnnebvcd4hv3hj44	163	5	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	163	6	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	163	7	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	163	8	resampling	resample	VBG
work_ope6navdjndnnebvcd4hv3hj44	163	9	strategy	strategy	NN
work_ope6navdjndnnebvcd4hv3hj44	163	10	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	163	11	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	163	12	recommended	recommend	VBN
work_ope6navdjndnnebvcd4hv3hj44	163	13	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	163	14	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	163	15	context	context	NN
work_ope6navdjndnnebvcd4hv3hj44	163	16	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	163	17	forecast-	forecast-	NNP
work_ope6navdjndnnebvcd4hv3hj44	163	18	ing	ing	NNP
work_ope6navdjndnnebvcd4hv3hj44	163	19	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	163	20	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	163	21	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	163	22	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	164	1	4.1.2	4.1.2	CD
work_ope6navdjndnnebvcd4hv3hj44	164	2	|	|	NNP
work_ope6navdjndnnebvcd4hv3hj44	164	3	Hypothesis	Hypothesis	NNP
work_ope6navdjndnnebvcd4hv3hj44	164	4	2	2	CD
work_ope6navdjndnnebvcd4hv3hj44	164	5	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	164	6	adding	add	VBG
work_ope6navdjndnnebvcd4hv3hj44	164	7	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	164	8	–	–	:
work_ope6navdjndnnebvcd4hv3hj44	164	9	benefit	benefit	NN
work_ope6navdjndnnebvcd4hv3hj44	164	10	matrices	matrix	NNS
work_ope6navdjndnnebvcd4hv3hj44	164	11	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	164	12	second	second	JJ
work_ope6navdjndnnebvcd4hv3hj44	164	13	hypothesis	hypothesis	NN
work_ope6navdjndnnebvcd4hv3hj44	164	14	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	164	15	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	164	16	put	put	VBN
work_ope6navdjndnnebvcd4hv3hj44	164	17	forward	forward	RB
work_ope6navdjndnnebvcd4hv3hj44	164	18	was	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	164	19	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	164	20	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	164	21	use	use	NN
work_ope6navdjndnnebvcd4hv3hj44	164	22	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	164	23	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	164	24	–	–	:
work_ope6navdjndnnebvcd4hv3hj44	164	25	benefit	benefit	NN
work_ope6navdjndnnebvcd4hv3hj44	164	26	matrices	matrix	NNS
work_ope6navdjndnnebvcd4hv3hj44	164	27	would	would	MD
work_ope6navdjndnnebvcd4hv3hj44	164	28	boost	boost	VB
work_ope6navdjndnnebvcd4hv3hj44	164	29	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	164	30	performance	performance	NN
work_ope6navdjndnnebvcd4hv3hj44	164	31	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	164	32	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	164	33	classifi-	classifi-	NNP
work_ope6navdjndnnebvcd4hv3hj44	164	34	cation	cation	NN
work_ope6navdjndnnebvcd4hv3hj44	164	35	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	164	36	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	164	37	because	because	IN
work_ope6navdjndnnebvcd4hv3hj44	164	38	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	164	39	information	information	NN
work_ope6navdjndnnebvcd4hv3hj44	164	40	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	164	41	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	164	42	implicit	implicit	JJ
work_ope6navdjndnnebvcd4hv3hj44	164	43	ordering	ordering	NN
work_ope6navdjndnnebvcd4hv3hj44	164	44	among	among	IN
work_ope6navdjndnnebvcd4hv3hj44	164	45	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	164	46	classes	class	NNS
work_ope6navdjndnnebvcd4hv3hj44	164	47	would	would	MD
work_ope6navdjndnnebvcd4hv3hj44	164	48	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	164	49	passed	pass	VBN
work_ope6navdjndnnebvcd4hv3hj44	164	50	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	164	51	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	164	52	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	164	53	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	164	54	allowing	allow	VBG
work_ope6navdjndnnebvcd4hv3hj44	164	55	them	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	164	56	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	164	57	avoid	avoid	VB
work_ope6navdjndnnebvcd4hv3hj44	164	58	more	more	RBR
work_ope6navdjndnnebvcd4hv3hj44	164	59	costly	costly	JJ
work_ope6navdjndnnebvcd4hv3hj44	164	60	errors	error	NNS
work_ope6navdjndnnebvcd4hv3hj44	164	61	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	164	62	e.g.	e.g.	RB
work_ope6navdjndnnebvcd4hv3hj44	164	63	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	164	64	confusing	confuse	VBG
work_ope6navdjndnnebvcd4hv3hj44	164	65	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	164	66	buy	buy	NN
work_ope6navdjndnnebvcd4hv3hj44	164	67	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	164	68	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	164	69	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	164	70	sell	sell	NN
work_ope6navdjndnnebvcd4hv3hj44	164	71	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	164	72	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	164	73	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	165	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	165	2	order	order	NN
work_ope6navdjndnnebvcd4hv3hj44	165	3	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	165	4	test	test	VB
work_ope6navdjndnnebvcd4hv3hj44	165	5	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	165	6	hypothesis	hypothesis	NN
work_ope6navdjndnnebvcd4hv3hj44	165	7	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	165	8	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	165	9	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	165	10	follow	follow	VB
work_ope6navdjndnnebvcd4hv3hj44	165	11	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	165	12	same	same	JJ
work_ope6navdjndnnebvcd4hv3hj44	165	13	methodol-	methodol-	JJ
work_ope6navdjndnnebvcd4hv3hj44	165	14	ogy	ogy	NN
work_ope6navdjndnnebvcd4hv3hj44	165	15	used	use	VBN
work_ope6navdjndnnebvcd4hv3hj44	165	16	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	165	17	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	165	18	resampling	resample	VBG
work_ope6navdjndnnebvcd4hv3hj44	165	19	hypothesis	hypothesis	NN
work_ope6navdjndnnebvcd4hv3hj44	165	20	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	166	1	Firstly	firstly	RB
work_ope6navdjndnnebvcd4hv3hj44	166	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	166	3	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	166	4	top	top	JJ
work_ope6navdjndnnebvcd4hv3hj44	166	5	modeling	model	VBG
work_ope6navdjndnnebvcd4hv3hj44	166	6	variant	variant	JJ
work_ope6navdjndnnebvcd4hv3hj44	166	7	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	166	8	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	166	9	alternative	alternative	NN
work_ope6navdjndnnebvcd4hv3hj44	166	10	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	166	11	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	166	12	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	166	13	without	without	IN
work_ope6navdjndnnebvcd4hv3hj44	166	14	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	166	15	–	–	:
work_ope6navdjndnnebvcd4hv3hj44	166	16	benefit	benefit	NN
work_ope6navdjndnnebvcd4hv3hj44	166	17	matrices	matrix	NNS
work_ope6navdjndnnebvcd4hv3hj44	166	18	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	166	19	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	166	20	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	166	21	compared	compare	VBN
work_ope6navdjndnnebvcd4hv3hj44	166	22	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	166	23	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	166	24	data	data	NN
work_ope6navdjndnnebvcd4hv3hj44	166	25	set	set	NN
work_ope6navdjndnnebvcd4hv3hj44	166	26	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	167	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	167	2	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	167	3	regarding	regard	VBG
work_ope6navdjndnnebvcd4hv3hj44	167	4	precision	precision	NN
work_ope6navdjndnnebvcd4hv3hj44	167	5	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	167	6	recall	recall	NN
work_ope6navdjndnnebvcd4hv3hj44	167	7	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	167	8	shown	show	VBN
work_ope6navdjndnnebvcd4hv3hj44	167	9	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	167	10	Figure	Figure	NNP
work_ope6navdjndnnebvcd4hv3hj44	167	11	4	4	CD
work_ope6navdjndnnebvcd4hv3hj44	167	12	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	168	1	These	these	DT
work_ope6navdjndnnebvcd4hv3hj44	168	2	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	168	3	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	168	4	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	168	5	bit	bit	NN
work_ope6navdjndnnebvcd4hv3hj44	168	6	inconclusive	inconclusive	JJ
work_ope6navdjndnnebvcd4hv3hj44	168	7	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	169	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	169	2	terms	term	NNS
work_ope6navdjndnnebvcd4hv3hj44	169	3	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	169	4	recall	recall	NN
work_ope6navdjndnnebvcd4hv3hj44	169	5	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	169	6	use	use	NN
work_ope6navdjndnnebvcd4hv3hj44	169	7	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	169	8	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	169	9	matrices	matrix	NNS
work_ope6navdjndnnebvcd4hv3hj44	169	10	led	lead	VBD
work_ope6navdjndnnebvcd4hv3hj44	169	11	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	169	12	better	well	JJR
work_ope6navdjndnnebvcd4hv3hj44	169	13	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	169	14	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	169	15	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	169	16	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	169	17	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	169	18	five	five	CD
work_ope6navdjndnnebvcd4hv3hj44	169	19	significant	significant	JJ
work_ope6navdjndnnebvcd4hv3hj44	169	20	wins	win	NNS
work_ope6navdjndnnebvcd4hv3hj44	169	21	against	against	IN
work_ope6navdjndnnebvcd4hv3hj44	169	22	only	only	RB
work_ope6navdjndnnebvcd4hv3hj44	169	23	one	one	CD
work_ope6navdjndnnebvcd4hv3hj44	169	24	significant	significant	JJ
work_ope6navdjndnnebvcd4hv3hj44	169	25	loss	loss	NN
work_ope6navdjndnnebvcd4hv3hj44	169	26	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	169	27	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	169	28	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	169	29	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	169	30	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	169	31	matrices	matrix	NNS
work_ope6navdjndnnebvcd4hv3hj44	169	32	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	170	1	On	on	IN
work_ope6navdjndnnebvcd4hv3hj44	170	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	170	3	other	other	JJ
work_ope6navdjndnnebvcd4hv3hj44	170	4	hand	hand	NN
work_ope6navdjndnnebvcd4hv3hj44	170	5	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	170	6	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	170	7	terms	term	NNS
work_ope6navdjndnnebvcd4hv3hj44	170	8	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	170	9	precision	precision	NN
work_ope6navdjndnnebvcd4hv3hj44	170	10	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	170	11	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	170	12	observed	observe	VBD
work_ope6navdjndnnebvcd4hv3hj44	170	13	three	three	CD
work_ope6navdjndnnebvcd4hv3hj44	170	14	significant	significant	JJ
work_ope6navdjndnnebvcd4hv3hj44	170	15	wins	win	NNS
work_ope6navdjndnnebvcd4hv3hj44	170	16	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	170	17	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	170	18	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	170	19	without	without	IN
work_ope6navdjndnnebvcd4hv3hj44	170	20	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	170	21	–	–	:
work_ope6navdjndnnebvcd4hv3hj44	170	22	benefit	benefit	NN
work_ope6navdjndnnebvcd4hv3hj44	170	23	matrices	matrix	NNS
work_ope6navdjndnnebvcd4hv3hj44	170	24	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	171	1	Figure	figure	NN
work_ope6navdjndnnebvcd4hv3hj44	171	2	5	5	CD
work_ope6navdjndnnebvcd4hv3hj44	171	3	shows	show	VBZ
work_ope6navdjndnnebvcd4hv3hj44	171	4	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	171	5	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	171	6	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	171	7	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	171	8	same	same	JJ
work_ope6navdjndnnebvcd4hv3hj44	171	9	experiment	experiment	NN
work_ope6navdjndnnebvcd4hv3hj44	171	10	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	171	11	terms	term	NNS
work_ope6navdjndnnebvcd4hv3hj44	171	12	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	171	13	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	171	14	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	171	15	metrics	metric	NNS
work_ope6navdjndnnebvcd4hv3hj44	171	16	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	172	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	172	2	most	most	RBS
work_ope6navdjndnnebvcd4hv3hj44	172	3	evident	evident	JJ
work_ope6navdjndnnebvcd4hv3hj44	172	4	observation	observation	NN
work_ope6navdjndnnebvcd4hv3hj44	172	5	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	172	6	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	172	7	fact	fact	NN
work_ope6navdjndnnebvcd4hv3hj44	172	8	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	172	9	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	172	10	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	172	11	single	single	JJ
work_ope6navdjndnnebvcd4hv3hj44	172	12	statistically	statistically	RB
work_ope6navdjndnnebvcd4hv3hj44	172	13	significant	significant	JJ
work_ope6navdjndnnebvcd4hv3hj44	172	14	difference	difference	NN
work_ope6navdjndnnebvcd4hv3hj44	172	15	was	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	172	16	achieved	achieve	VBN
work_ope6navdjndnnebvcd4hv3hj44	172	17	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	172	18	either	either	DT
work_ope6navdjndnnebvcd4hv3hj44	172	19	alternative	alternative	NN
work_ope6navdjndnnebvcd4hv3hj44	172	20	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	173	1	However	however	RB
work_ope6navdjndnnebvcd4hv3hj44	173	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	173	3	both	both	CC
work_ope6navdjndnnebvcd4hv3hj44	173	4	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	173	5	terms	term	NNS
work_ope6navdjndnnebvcd4hv3hj44	173	6	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	173	7	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	173	8	Total	Total	NNP
work_ope6navdjndnnebvcd4hv3hj44	173	9	Return	Return	NNP
work_ope6navdjndnnebvcd4hv3hj44	173	10	FIGURE	FIGURE	NNP
work_ope6navdjndnnebvcd4hv3hj44	173	11	4	4	CD
work_ope6navdjndnnebvcd4hv3hj44	173	12	Best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	173	13	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	173	14	variant	variant	NN
work_ope6navdjndnnebvcd4hv3hj44	173	15	without	without	IN
work_ope6navdjndnnebvcd4hv3hj44	173	16	costs	cost	NNS
work_ope6navdjndnnebvcd4hv3hj44	173	17	against	against	IN
work_ope6navdjndnnebvcd4hv3hj44	173	18	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	173	19	best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	173	20	classific	classific	NN
work_ope6navdjndnnebvcd4hv3hj44	173	21	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	173	22	asterisks	asterisks	NNP
work_ope6navdjndnnebvcd4hv3hj44	173	23	denote	denote	VBP
work_ope6navdjndnnebvcd4hv3hj44	173	24	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	173	25	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	173	26	respective	respective	JJ
work_ope6navdjndnnebvcd4hv3hj44	173	27	variant	variant	NN
work_ope6navdjndnnebvcd4hv3hj44	173	28	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	173	29	significantly	significantly	RB
work_ope6navdjndnnebvcd4hv3hj44	173	30	better	well	JJR
work_ope6navdjndnnebvcd4hv3hj44	173	31	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	173	32	accordin	accordin	NNP
work_ope6navdjndnnebvcd4hv3hj44	173	33	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	173	34	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	173	35	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	173	36	Annualized	Annualized	NNP
work_ope6navdjndnnebvcd4hv3hj44	173	37	Sharpe	Sharpe	NNP
work_ope6navdjndnnebvcd4hv3hj44	173	38	Ratio	Ratio	NNP
work_ope6navdjndnnebvcd4hv3hj44	173	39	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	173	40	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	173	41	approaches	approach	NNS
work_ope6navdjndnnebvcd4hv3hj44	173	42	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	173	43	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	173	44	–	–	:
work_ope6navdjndnnebvcd4hv3hj44	173	45	benefit	benefit	NN
work_ope6navdjndnnebvcd4hv3hj44	173	46	matrices	matrix	NNS
work_ope6navdjndnnebvcd4hv3hj44	173	47	obtained	obtain	VBD
work_ope6navdjndnnebvcd4hv3hj44	173	48	more	more	JJR
work_ope6navdjndnnebvcd4hv3hj44	173	49	wins	win	NNS
work_ope6navdjndnnebvcd4hv3hj44	173	50	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	174	1	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	174	2	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	174	3	an	an	DT
work_ope6navdjndnnebvcd4hv3hj44	174	4	interesting	interesting	JJ
work_ope6navdjndnnebvcd4hv3hj44	174	5	result	result	NN
work_ope6navdjndnnebvcd4hv3hj44	174	6	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	174	7	suggesting	suggest	VBG
work_ope6navdjndnnebvcd4hv3hj44	174	8	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	174	9	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	174	10	use	use	NN
work_ope6navdjndnnebvcd4hv3hj44	174	11	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	174	12	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	174	13	matrices	matrix	NNS
work_ope6navdjndnnebvcd4hv3hj44	174	14	may	may	MD
work_ope6navdjndnnebvcd4hv3hj44	174	15	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	174	16	beneficial	beneficial	JJ
work_ope6navdjndnnebvcd4hv3hj44	174	17	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	174	18	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	174	19	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	174	20	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	174	21	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	174	22	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	174	23	context	context	NN
work_ope6navdjndnnebvcd4hv3hj44	174	24	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	174	25	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	174	26	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	174	27	based	base	VBN
work_ope6navdjndnnebvcd4hv3hj44	174	28	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	174	29	prediction	prediction	NN
work_ope6navdjndnnebvcd4hv3hj44	174	30	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	174	31	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	175	1	Let	let	VB
work_ope6navdjndnnebvcd4hv3hj44	175	2	us	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	175	3	now	now	RB
work_ope6navdjndnnebvcd4hv3hj44	175	4	check	check	VB
work_ope6navdjndnnebvcd4hv3hj44	175	5	if	if	IN
work_ope6navdjndnnebvcd4hv3hj44	175	6	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	175	7	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	175	8	hold	hold	VBP
work_ope6navdjndnnebvcd4hv3hj44	175	9	across	across	IN
work_ope6navdjndnnebvcd4hv3hj44	175	10	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	175	11	different	different	JJ
work_ope6navdjndnnebvcd4hv3hj44	175	12	type	type	NN
work_ope6navdjndnnebvcd4hv3hj44	175	13	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	175	14	learning	learning	NN
work_ope6navdjndnnebvcd4hv3hj44	175	15	algorithm	algorithm	NNP
work_ope6navdjndnnebvcd4hv3hj44	175	16	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	176	1	Figure	figure	NN
work_ope6navdjndnnebvcd4hv3hj44	176	2	6	6	CD
work_ope6navdjndnnebvcd4hv3hj44	176	3	shows	show	VBZ
work_ope6navdjndnnebvcd4hv3hj44	176	4	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	176	5	comparison	comparison	NN
work_ope6navdjndnnebvcd4hv3hj44	176	6	between	between	IN
work_ope6navdjndnnebvcd4hv3hj44	176	7	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	176	8	top	top	JJ
work_ope6navdjndnnebvcd4hv3hj44	176	9	modeling	model	VBG
work_ope6navdjndnnebvcd4hv3hj44	176	10	variant	variant	JJ
work_ope6navdjndnnebvcd4hv3hj44	176	11	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	176	12	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	176	13	type	type	NN
work_ope6navdjndnnebvcd4hv3hj44	176	14	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	176	15	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	176	16	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	177	1	Even	even	RB
work_ope6navdjndnnebvcd4hv3hj44	177	2	though	though	IN
work_ope6navdjndnnebvcd4hv3hj44	177	3	there	there	EX
work_ope6navdjndnnebvcd4hv3hj44	177	4	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	177	5	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	177	6	slightly	slightly	RB
work_ope6navdjndnnebvcd4hv3hj44	177	7	higher	high	JJR
work_ope6navdjndnnebvcd4hv3hj44	177	8	abundance	abundance	NN
work_ope6navdjndnnebvcd4hv3hj44	177	9	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	177	10	green	green	JJ
work_ope6navdjndnnebvcd4hv3hj44	177	11	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	177	12	suggesting	suggest	VBG
work_ope6navdjndnnebvcd4hv3hj44	177	13	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	177	14	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	177	15	usage	usage	NN
work_ope6navdjndnnebvcd4hv3hj44	177	16	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	177	17	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	177	18	–	–	:
work_ope6navdjndnnebvcd4hv3hj44	177	19	benefit	benefit	NN
work_ope6navdjndnnebvcd4hv3hj44	177	20	matrices	matrix	NNS
work_ope6navdjndnnebvcd4hv3hj44	177	21	may	may	MD
work_ope6navdjndnnebvcd4hv3hj44	177	22	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	177	23	beneficial	beneficial	JJ
work_ope6navdjndnnebvcd4hv3hj44	177	24	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	177	25	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	177	26	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	177	27	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	177	28	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	177	29	quite	quite	RB
work_ope6navdjndnnebvcd4hv3hj44	177	30	even	even	RB
work_ope6navdjndnnebvcd4hv3hj44	177	31	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	178	1	Each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	178	2	type	type	NN
work_ope6navdjndnnebvcd4hv3hj44	178	3	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	178	4	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	178	5	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	178	6	influenced	influence	VBN
work_ope6navdjndnnebvcd4hv3hj44	178	7	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	178	8	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	178	9	different	different	JJ
work_ope6navdjndnnebvcd4hv3hj44	178	10	way	way	NN
work_ope6navdjndnnebvcd4hv3hj44	178	11	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	178	12	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	178	13	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	178	14	–	–	:
work_ope6navdjndnnebvcd4hv3hj44	178	15	benefit	benefit	NN
work_ope6navdjndnnebvcd4hv3hj44	178	16	matrices	matrix	NNS
work_ope6navdjndnnebvcd4hv3hj44	178	17	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	179	1	Although	although	IN
work_ope6navdjndnnebvcd4hv3hj44	179	2	NNET	NNET	NNP
work_ope6navdjndnnebvcd4hv3hj44	179	3	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	179	4	neural	neural	JJ
work_ope6navdjndnnebvcd4hv3hj44	179	5	networks	network	NNS
work_ope6navdjndnnebvcd4hv3hj44	179	6	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	179	7	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	179	8	TREE	TREE	NNP
work_ope6navdjndnnebvcd4hv3hj44	179	9	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	179	10	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	179	11	tree	tree	NN
work_ope6navdjndnnebvcd4hv3hj44	179	12	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	179	13	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	179	14	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	179	15	SVM	SVM	NNP
work_ope6navdjndnnebvcd4hv3hj44	179	16	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	179	17	able	able	JJ
work_ope6navdjndnnebvcd4hv3hj44	179	18	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	179	19	take	take	VB
work_ope6navdjndnnebvcd4hv3hj44	179	20	advantage	advantage	NN
work_ope6navdjndnnebvcd4hv3hj44	179	21	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	179	22	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	179	23	information	information	NN
work_ope6navdjndnnebvcd4hv3hj44	179	24	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	179	25	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	179	26	matrices	matrix	NNS
work_ope6navdjndnnebvcd4hv3hj44	179	27	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	179	28	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	179	29	conclusions	conclusion	NNS
work_ope6navdjndnnebvcd4hv3hj44	179	30	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	179	31	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	179	32	other	other	JJ
work_ope6navdjndnnebvcd4hv3hj44	179	33	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	179	34	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	179	35	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	179	36	so	so	RB
work_ope6navdjndnnebvcd4hv3hj44	179	37	clear	clear	JJ
work_ope6navdjndnnebvcd4hv3hj44	179	38	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	180	1	These	these	DT
work_ope6navdjndnnebvcd4hv3hj44	180	2	observations	observation	NNS
work_ope6navdjndnnebvcd4hv3hj44	180	3	seem	seem	VBP
work_ope6navdjndnnebvcd4hv3hj44	180	4	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	180	5	indicate	indicate	VB
work_ope6navdjndnnebvcd4hv3hj44	180	6	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	180	7	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	180	8	poten-	poten-	NN
work_ope6navdjndnnebvcd4hv3hj44	180	9	tial	tial	JJ
work_ope6navdjndnnebvcd4hv3hj44	180	10	advantage	advantage	NN
work_ope6navdjndnnebvcd4hv3hj44	180	11	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	180	12	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	180	13	usage	usage	NN
work_ope6navdjndnnebvcd4hv3hj44	180	14	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	180	15	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	180	16	–	–	:
work_ope6navdjndnnebvcd4hv3hj44	180	17	benefit	benefit	NN
work_ope6navdjndnnebvcd4hv3hj44	180	18	matrices	matrix	NNS
work_ope6navdjndnnebvcd4hv3hj44	180	19	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	180	20	algorithm‐	algorithm‐	RB
work_ope6navdjndnnebvcd4hv3hj44	180	21	dependent	dependent	JJ
work_ope6navdjndnnebvcd4hv3hj44	180	22	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	180	23	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	180	24	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	180	25	techniques	technique	NNS
work_ope6navdjndnnebvcd4hv3hj44	180	26	being	be	VBG
work_ope6navdjndnnebvcd4hv3hj44	180	27	able	able	JJ
work_ope6navdjndnnebvcd4hv3hj44	180	28	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	180	29	capitalize	capitalize	VB
work_ope6navdjndnnebvcd4hv3hj44	180	30	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	180	31	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	180	32	extra	extra	JJ
work_ope6navdjndnnebvcd4hv3hj44	180	33	information	information	NN
work_ope6navdjndnnebvcd4hv3hj44	180	34	while	while	IN
work_ope6navdjndnnebvcd4hv3hj44	180	35	others	other	NNS
work_ope6navdjndnnebvcd4hv3hj44	180	36	do	do	VBP
work_ope6navdjndnnebvcd4hv3hj44	180	37	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	180	38	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	181	1	As	as	IN
work_ope6navdjndnnebvcd4hv3hj44	181	2	future	future	JJ
work_ope6navdjndnnebvcd4hv3hj44	181	3	research	research	NN
work_ope6navdjndnnebvcd4hv3hj44	181	4	agenda	agenda	NN
work_ope6navdjndnnebvcd4hv3hj44	181	5	it	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	181	6	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	181	7	should	should	MD
work_ope6navdjndnnebvcd4hv3hj44	181	8	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	181	9	interesting	interesting	JJ
work_ope6navdjndnnebvcd4hv3hj44	181	10	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	181	11	understand	understand	VB
work_ope6navdjndnnebvcd4hv3hj44	181	12	if	if	IN
work_ope6navdjndnnebvcd4hv3hj44	181	13	there	there	EX
work_ope6navdjndnnebvcd4hv3hj44	181	14	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	181	15	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	181	16	theoretical	theoretical	JJ
work_ope6navdjndnnebvcd4hv3hj44	181	17	properties	property	NNS
work_ope6navdjndnnebvcd4hv3hj44	181	18	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	181	19	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	181	20	algorithms	algorithm	NNS
work_ope6navdjndnnebvcd4hv3hj44	181	21	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	181	22	may	may	MD
work_ope6navdjndnnebvcd4hv3hj44	181	23	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	181	24	causing	cause	VBG
work_ope6navdjndnnebvcd4hv3hj44	181	25	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	181	26	differentiated	differentiated	JJ
work_ope6navdjndnnebvcd4hv3hj44	181	27	behavior	behavior	NN
work_ope6navdjndnnebvcd4hv3hj44	181	28	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	182	1	A	a	DT
work_ope6navdjndnnebvcd4hv3hj44	182	2	possible	possible	JJ
work_ope6navdjndnnebvcd4hv3hj44	182	3	explanation	explanation	NN
work_ope6navdjndnnebvcd4hv3hj44	182	4	has	have	VBZ
work_ope6navdjndnnebvcd4hv3hj44	182	5	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	182	6	do	do	VB
work_ope6navdjndnnebvcd4hv3hj44	182	7	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	182	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	182	9	quality	quality	NN
work_ope6navdjndnnebvcd4hv3hj44	182	10	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	182	11	proba-	proba-	NN
work_ope6navdjndnnebvcd4hv3hj44	182	12	bility	bility	NN
work_ope6navdjndnnebvcd4hv3hj44	182	13	estimates	estimate	NNS
work_ope6navdjndnnebvcd4hv3hj44	182	14	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	183	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	183	2	effect	effect	NN
work_ope6navdjndnnebvcd4hv3hj44	183	3	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	183	4	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	183	5	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	183	6	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	183	7	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	183	8	–	–	:
work_ope6navdjndnnebvcd4hv3hj44	183	9	benefit	benefit	NN
work_ope6navdjndnnebvcd4hv3hj44	183	10	matrices	matrix	NNS
work_ope6navdjndnnebvcd4hv3hj44	183	11	depend	depend	VBP
work_ope6navdjndnnebvcd4hv3hj44	183	12	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	183	13	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	183	14	estimated	estimate	VBN
work_ope6navdjndnnebvcd4hv3hj44	183	15	probabilities	probability	NNS
work_ope6navdjndnnebvcd4hv3hj44	183	16	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	183	17	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	183	18	class	class	NN
work_ope6navdjndnnebvcd4hv3hj44	183	19	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	184	1	If	if	IN
work_ope6navdjndnnebvcd4hv3hj44	184	2	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	184	3	esti-	esti-	NN
work_ope6navdjndnnebvcd4hv3hj44	184	4	mates	mate	NNS
work_ope6navdjndnnebvcd4hv3hj44	184	5	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	184	6	wrong	wrong	JJ
work_ope6navdjndnnebvcd4hv3hj44	184	7	or	or	CC
work_ope6navdjndnnebvcd4hv3hj44	184	8	unreliable	unreliable	JJ
work_ope6navdjndnnebvcd4hv3hj44	184	9	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	184	10	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	184	11	may	may	MD
work_ope6navdjndnnebvcd4hv3hj44	184	12	lead	lead	VB
work_ope6navdjndnnebvcd4hv3hj44	184	13	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	184	14	unreliable	unreliable	JJ
work_ope6navdjndnnebvcd4hv3hj44	184	15	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	184	16	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	185	1	Still	still	RB
work_ope6navdjndnnebvcd4hv3hj44	185	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	185	3	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	185	4	explanation	explanation	NN
work_ope6navdjndnnebvcd4hv3hj44	185	5	needs	need	VBZ
work_ope6navdjndnnebvcd4hv3hj44	185	6	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	185	7	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	185	8	confirmed	confirm	VBN
work_ope6navdjndnnebvcd4hv3hj44	185	9	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	185	10	practice	practice	NN
work_ope6navdjndnnebvcd4hv3hj44	185	11	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	186	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	186	2	summary	summary	NN
work_ope6navdjndnnebvcd4hv3hj44	186	3	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	186	4	contrary	contrary	JJ
work_ope6navdjndnnebvcd4hv3hj44	186	5	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	186	6	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	186	7	first	first	JJ
work_ope6navdjndnnebvcd4hv3hj44	186	8	hypothesis	hypothesis	NN
work_ope6navdjndnnebvcd4hv3hj44	186	9	involving	involve	VBG
work_ope6navdjndnnebvcd4hv3hj44	186	10	resampling	resample	VBG
work_ope6navdjndnnebvcd4hv3hj44	186	11	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	186	12	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	186	13	conclusions	conclusion	NNS
work_ope6navdjndnnebvcd4hv3hj44	186	14	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	186	15	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	186	16	second	second	JJ
work_ope6navdjndnnebvcd4hv3hj44	186	17	hypothesis	hypothesis	NN
work_ope6navdjndnnebvcd4hv3hj44	186	18	regarding	regard	VBG
work_ope6navdjndnnebvcd4hv3hj44	186	19	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	186	20	advantages	advantage	NNS
work_ope6navdjndnnebvcd4hv3hj44	186	21	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	186	22	ation	ation	NN
work_ope6navdjndnnebvcd4hv3hj44	186	23	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	186	24	costs	cost	NNS
work_ope6navdjndnnebvcd4hv3hj44	186	25	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	186	26	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	186	27	macro	macro	JJ
work_ope6navdjndnnebvcd4hv3hj44	186	28	versions	version	NNS
work_ope6navdjndnnebvcd4hv3hj44	186	29	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	186	30	Precision	Precision	NNP
work_ope6navdjndnnebvcd4hv3hj44	186	31	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	186	32	Recall	Recall	NNP
work_ope6navdjndnnebvcd4hv3hj44	186	33	metrics	metric	NNS
work_ope6navdjndnnebvcd4hv3hj44	186	34	g	g	NN
work_ope6navdjndnnebvcd4hv3hj44	186	35	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	186	36	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	186	37	Wilcoxon	Wilcoxon	NNP
work_ope6navdjndnnebvcd4hv3hj44	186	38	test	test	NN
work_ope6navdjndnnebvcd4hv3hj44	186	39	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	186	40	α	α	XX
work_ope6navdjndnnebvcd4hv3hj44	186	41	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	186	42	0.05	0.05	CD
work_ope6navdjndnnebvcd4hv3hj44	186	43	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	186	44	FIGURE	FIGURE	NNP
work_ope6navdjndnnebvcd4hv3hj44	186	45	5	5	CD
work_ope6navdjndnnebvcd4hv3hj44	186	46	Best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	186	47	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	186	48	variant	variant	NN
work_ope6navdjndnnebvcd4hv3hj44	186	49	without	without	IN
work_ope6navdjndnnebvcd4hv3hj44	186	50	costs	cost	NNS
work_ope6navdjndnnebvcd4hv3hj44	186	51	against	against	IN
work_ope6navdjndnnebvcd4hv3hj44	186	52	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	186	53	best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	186	54	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	186	55	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	186	56	costs	cost	NNS
work_ope6navdjndnnebvcd4hv3hj44	186	57	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	186	58	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	186	59	Total	Total	NNP
work_ope6navdjndnnebvcd4hv3hj44	186	60	Return	Return	NNP
work_ope6navdjndnnebvcd4hv3hj44	186	61	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	186	62	Annualized	Annualized	NNP
work_ope6navdjndnnebvcd4hv3hj44	186	63	Sharpe	Sharpe	NNP
work_ope6navdjndnnebvcd4hv3hj44	186	64	Ratio	Ratio	NNP
work_ope6navdjndnnebvcd4hv3hj44	186	65	metrics	metric	NNS
work_ope6navdjndnnebvcd4hv3hj44	186	66	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	186	67	asterisks	asterisk	NNS
work_ope6navdjndnnebvcd4hv3hj44	186	68	denote	denote	VBP
work_ope6navdjndnnebvcd4hv3hj44	186	69	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	186	70	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	186	71	respective	respective	JJ
work_ope6navdjndnnebvcd4hv3hj44	186	72	variant	variant	NN
work_ope6navdjndnnebvcd4hv3hj44	186	73	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	186	74	significantly	significantly	RB
work_ope6navdjndnnebvcd4hv3hj44	186	75	better	well	JJR
work_ope6navdjndnnebvcd4hv3hj44	186	76	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	186	77	according	accord	VBG
work_ope6navdjndnnebvcd4hv3hj44	186	78	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	186	79	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	186	80	Wilcoxon	Wilcoxon	NNP
work_ope6navdjndnnebvcd4hv3hj44	186	81	test	test	NN
work_ope6navdjndnnebvcd4hv3hj44	186	82	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	186	83	α	α	XX
work_ope6navdjndnnebvcd4hv3hj44	186	84	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	186	85	0.05	0.05	CD
work_ope6navdjndnnebvcd4hv3hj44	186	86	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	186	87	FIGURE	FIGURE	NNP
work_ope6navdjndnnebvcd4hv3hj44	186	88	6	6	CD
work_ope6navdjndnnebvcd4hv3hj44	186	89	Segmented	segment	VBN
work_ope6navdjndnnebvcd4hv3hj44	186	90	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	186	91	type	type	NN
work_ope6navdjndnnebvcd4hv3hj44	186	92	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	186	93	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	186	94	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	186	95	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	186	96	metric	metric	JJ
work_ope6navdjndnnebvcd4hv3hj44	186	97	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	186	98	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	186	99	Wilcoxon	Wilcoxon	NNP
work_ope6navdjndnnebvcd4hv3hj44	186	100	test	test	NN
work_ope6navdjndnnebvcd4hv3hj44	186	101	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	186	102	performed	perform	VBN
work_ope6navdjndnnebvcd4hv3hj44	186	103	between	between	IN
work_ope6navdjndnnebvcd4hv3hj44	186	104	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	186	105	best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	186	106	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	186	107	variant	variant	JJ
work_ope6navdjndnnebvcd4hv3hj44	186	108	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	186	109	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	186	110	modeling	model	VBG
work_ope6navdjndnnebvcd4hv3hj44	186	111	tool	tool	NN
work_ope6navdjndnnebvcd4hv3hj44	186	112	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	186	113	Classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	186	114	without	without	IN
work_ope6navdjndnnebvcd4hv3hj44	186	115	costs	cost	NNS
work_ope6navdjndnnebvcd4hv3hj44	186	116	versus	versus	IN
work_ope6navdjndnnebvcd4hv3hj44	186	117	Classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	186	118	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	186	119	costs	cost	NNS
work_ope6navdjndnnebvcd4hv3hj44	186	120	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	186	121	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	187	1	Because	because	IN
work_ope6navdjndnnebvcd4hv3hj44	187	2	there	there	EX
work_ope6navdjndnnebvcd4hv3hj44	187	3	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	187	4	12	12	CD
work_ope6navdjndnnebvcd4hv3hj44	187	5	datasets	dataset	NNS
work_ope6navdjndnnebvcd4hv3hj44	187	6	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	187	7	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	187	8	segment	segment	NN
work_ope6navdjndnnebvcd4hv3hj44	187	9	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	187	10	then	then	RB
work_ope6navdjndnnebvcd4hv3hj44	187	11	there	there	EX
work_ope6navdjndnnebvcd4hv3hj44	187	12	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	187	13	12	12	CD
work_ope6navdjndnnebvcd4hv3hj44	187	14	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	187	15	per	per	IN
work_ope6navdjndnnebvcd4hv3hj44	187	16	segment	segment	NN
work_ope6navdjndnnebvcd4hv3hj44	187	17	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	188	1	Each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	188	2	bar	bar	NN
work_ope6navdjndnnebvcd4hv3hj44	188	3	shows	show	VBZ
work_ope6navdjndnnebvcd4hv3hj44	188	4	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	188	5	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	188	6	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	188	7	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	188	8	segment	segment	NN
work_ope6navdjndnnebvcd4hv3hj44	188	9	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	188	10	where	where	WRB
work_ope6navdjndnnebvcd4hv3hj44	188	11	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	188	12	one	one	CD
work_ope6navdjndnnebvcd4hv3hj44	188	13	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	188	14	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	188	15	five	five	CD
work_ope6navdjndnnebvcd4hv3hj44	188	16	colors	color	NNS
work_ope6navdjndnnebvcd4hv3hj44	188	17	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	188	18	associated	associate	VBN
work_ope6navdjndnnebvcd4hv3hj44	188	19	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	188	20	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	188	21	type	type	NN
work_ope6navdjndnnebvcd4hv3hj44	188	22	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	188	23	win	win	NN
work_ope6navdjndnnebvcd4hv3hj44	188	24	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	188	25	significant	significant	JJ
work_ope6navdjndnnebvcd4hv3hj44	188	26	/	/	SYM
work_ope6navdjndnnebvcd4hv3hj44	188	27	non‐significant	non‐significant	FW
work_ope6navdjndnnebvcd4hv3hj44	188	28	win	win	NN
work_ope6navdjndnnebvcd4hv3hj44	188	29	without	without	IN
work_ope6navdjndnnebvcd4hv3hj44	188	30	costs	cost	NNS
work_ope6navdjndnnebvcd4hv3hj44	188	31	‐	‐	POS
work_ope6navdjndnnebvcd4hv3hj44	188	32	strong	strong	JJ
work_ope6navdjndnnebvcd4hv3hj44	188	33	/	/	SYM
work_ope6navdjndnnebvcd4hv3hj44	188	34	light	light	JJ
work_ope6navdjndnnebvcd4hv3hj44	188	35	blue	blue	NN
work_ope6navdjndnnebvcd4hv3hj44	188	36	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	188	37	draw	draw	VBP
work_ope6navdjndnnebvcd4hv3hj44	188	38	‐	‐	NNP
work_ope6navdjndnnebvcd4hv3hj44	188	39	yellow	yellow	NN
work_ope6navdjndnnebvcd4hv3hj44	188	40	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	188	41	non‐significant	non‐significant	NN
work_ope6navdjndnnebvcd4hv3hj44	188	42	/	/	SYM
work_ope6navdjndnnebvcd4hv3hj44	188	43	significant	significant	JJ
work_ope6navdjndnnebvcd4hv3hj44	188	44	win	win	NN
work_ope6navdjndnnebvcd4hv3hj44	188	45	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	188	46	costs	cost	NNS
work_ope6navdjndnnebvcd4hv3hj44	188	47	‐	‐	``
work_ope6navdjndnnebvcd4hv3hj44	188	48	light	light	JJ
work_ope6navdjndnnebvcd4hv3hj44	188	49	/	/	SYM
work_ope6navdjndnnebvcd4hv3hj44	188	50	strong	strong	JJ
work_ope6navdjndnnebvcd4hv3hj44	188	51	green	green	NN
work_ope6navdjndnnebvcd4hv3hj44	188	52	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	188	53	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	189	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	189	2	length	length	NN
work_ope6navdjndnnebvcd4hv3hj44	189	3	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	189	4	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	189	5	color	color	NN
work_ope6navdjndnnebvcd4hv3hj44	189	6	describes	describe	VBZ
work_ope6navdjndnnebvcd4hv3hj44	189	7	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	189	8	number	number	NN
work_ope6navdjndnnebvcd4hv3hj44	189	9	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	189	10	times	time	NNS
work_ope6navdjndnnebvcd4hv3hj44	189	11	that	that	DT
work_ope6navdjndnnebvcd4hv3hj44	189	12	type	type	NN
work_ope6navdjndnnebvcd4hv3hj44	189	13	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	189	14	win	win	NN
work_ope6navdjndnnebvcd4hv3hj44	189	15	occurred	occur	VBD
work_ope6navdjndnnebvcd4hv3hj44	189	16	8	8	CD
work_ope6navdjndnnebvcd4hv3hj44	189	17	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	189	18	13	13	CD
work_ope6navdjndnnebvcd4hv3hj44	189	19	BAÍA	BAÍA	NNS
work_ope6navdjndnnebvcd4hv3hj44	189	20	AND	and	CC
work_ope6navdjndnnebvcd4hv3hj44	189	21	TORGO	torgo	NN
work_ope6navdjndnnebvcd4hv3hj44	189	22	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	189	23	–	–	:
work_ope6navdjndnnebvcd4hv3hj44	189	24	benefit	benefit	NN
work_ope6navdjndnnebvcd4hv3hj44	189	25	matrices	matrix	NNS
work_ope6navdjndnnebvcd4hv3hj44	189	26	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	189	27	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	189	28	there	there	EX
work_ope6navdjndnnebvcd4hv3hj44	189	29	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	189	30	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	189	31	potential	potential	NN
work_ope6navdjndnnebvcd4hv3hj44	189	32	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	189	33	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	189	34	alterna-	alterna-	NN
work_ope6navdjndnnebvcd4hv3hj44	189	35	tive	tive	JJ
work_ope6navdjndnnebvcd4hv3hj44	189	36	way	way	NN
work_ope6navdjndnnebvcd4hv3hj44	189	37	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	189	38	addressing	address	VBG
work_ope6navdjndnnebvcd4hv3hj44	189	39	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	189	40	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	189	41	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	189	42	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	190	1	Although	although	IN
work_ope6navdjndnnebvcd4hv3hj44	190	2	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	190	3	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	190	4	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	190	5	observed	observe	VBN
work_ope6navdjndnnebvcd4hv3hj44	190	6	an	an	DT
work_ope6navdjndnnebvcd4hv3hj44	190	7	overwhelming	overwhelming	JJ
work_ope6navdjndnnebvcd4hv3hj44	190	8	advantage	advantage	NN
work_ope6navdjndnnebvcd4hv3hj44	190	9	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	190	10	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	190	11	usage	usage	NN
work_ope6navdjndnnebvcd4hv3hj44	190	12	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	190	13	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	190	14	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	190	15	found	find	VBN
work_ope6navdjndnnebvcd4hv3hj44	190	16	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	190	17	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	190	18	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	190	19	modeling	model	VBG
work_ope6navdjndnnebvcd4hv3hj44	190	20	algorithms	algorithm	NNS
work_ope6navdjndnnebvcd4hv3hj44	190	21	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	190	22	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	190	23	matrices	matrix	NNS
work_ope6navdjndnnebvcd4hv3hj44	190	24	provide	provide	VBP
work_ope6navdjndnnebvcd4hv3hj44	190	25	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	190	26	clear	clear	JJ
work_ope6navdjndnnebvcd4hv3hj44	190	27	boost	boost	NN
work_ope6navdjndnnebvcd4hv3hj44	190	28	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	190	29	terms	term	NNS
work_ope6navdjndnnebvcd4hv3hj44	190	30	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	190	31	their	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	190	32	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	190	33	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	190	34	both	both	CC
work_ope6navdjndnnebvcd4hv3hj44	190	35	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	190	36	terms	term	NNS
work_ope6navdjndnnebvcd4hv3hj44	190	37	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	190	38	Precision	Precision	NNP
work_ope6navdjndnnebvcd4hv3hj44	190	39	/	/	SYM
work_ope6navdjndnnebvcd4hv3hj44	190	40	Recall	Recall	NNP
work_ope6navdjndnnebvcd4hv3hj44	190	41	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	190	42	financially‐oriented	financially‐oriented	JJ
work_ope6navdjndnnebvcd4hv3hj44	190	43	metrics	metric	NNS
work_ope6navdjndnnebvcd4hv3hj44	190	44	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	190	45	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	191	1	BAÍA	BAÍA	NNS
work_ope6navdjndnnebvcd4hv3hj44	191	2	AND	and	CC
work_ope6navdjndnnebvcd4hv3hj44	191	3	TORGO	torgo	NN
work_ope6navdjndnnebvcd4hv3hj44	191	4	9	9	CD
work_ope6navdjndnnebvcd4hv3hj44	191	5	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	191	6	13	13	CD
work_ope6navdjndnnebvcd4hv3hj44	191	7	4.2	4.2	CD
work_ope6navdjndnnebvcd4hv3hj44	191	8	|	|	NNS
work_ope6navdjndnnebvcd4hv3hj44	191	9	Comparison	comparison	NN
work_ope6navdjndnnebvcd4hv3hj44	191	10	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	191	11	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	191	12	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	191	13	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	191	14	modeling	modeling	NN
work_ope6navdjndnnebvcd4hv3hj44	191	15	approaches	approach	NNS
work_ope6navdjndnnebvcd4hv3hj44	191	16	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	191	17	section	section	NN
work_ope6navdjndnnebvcd4hv3hj44	191	18	presents	present	VBZ
work_ope6navdjndnnebvcd4hv3hj44	191	19	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	191	20	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	191	21	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	191	22	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	191	23	experimental	experimental	JJ
work_ope6navdjndnnebvcd4hv3hj44	191	24	comparisons	comparison	NNS
work_ope6navdjndnnebvcd4hv3hj44	191	25	between	between	IN
work_ope6navdjndnnebvcd4hv3hj44	191	26	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	191	27	two	two	CD
work_ope6navdjndnnebvcd4hv3hj44	191	28	general	general	JJ
work_ope6navdjndnnebvcd4hv3hj44	191	29	approaches	approach	NNS
work_ope6navdjndnnebvcd4hv3hj44	191	30	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	191	31	making	make	VBG
work_ope6navdjndnnebvcd4hv3hj44	191	32	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	191	33	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	191	34	based	base	VBN
work_ope6navdjndnnebvcd4hv3hj44	191	35	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	191	36	forecasting	forecasting	NN
work_ope6navdjndnnebvcd4hv3hj44	191	37	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	191	38	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	192	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	192	2	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	192	3	experiments	experiment	NNS
work_ope6navdjndnnebvcd4hv3hj44	192	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	192	5	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	192	6	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	192	7	considered	consider	VBN
work_ope6navdjndnnebvcd4hv3hj44	192	8	76	76	CD
work_ope6navdjndnnebvcd4hv3hj44	192	9	clas-	clas-	JJ
work_ope6navdjndnnebvcd4hv3hj44	192	10	sification	sification	NN
work_ope6navdjndnnebvcd4hv3hj44	192	11	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	192	12	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	193	1	For	for	IN
work_ope6navdjndnnebvcd4hv3hj44	193	2	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	193	3	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	193	4	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	193	5	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	193	6	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	193	7	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	193	8	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	193	9	also	also	RB
work_ope6navdjndnnebvcd4hv3hj44	193	10	tried	try	VBN
work_ope6navdjndnnebvcd4hv3hj44	193	11	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	193	12	ver-	ver-	JJ
work_ope6navdjndnnebvcd4hv3hj44	193	13	sion	sion	NN
work_ope6navdjndnnebvcd4hv3hj44	193	14	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	193	15	resampling	resampling	NN
work_ope6navdjndnnebvcd4hv3hj44	193	16	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	193	17	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	193	18	version	version	NN
work_ope6navdjndnnebvcd4hv3hj44	193	19	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	193	20	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	193	21	–	–	:
work_ope6navdjndnnebvcd4hv3hj44	193	22	benefit	benefit	NN
work_ope6navdjndnnebvcd4hv3hj44	193	23	matrices	matrix	NNS
work_ope6navdjndnnebvcd4hv3hj44	193	24	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	193	25	totaling	total	VBG
work_ope6navdjndnnebvcd4hv3hj44	193	26	76	76	CD
work_ope6navdjndnnebvcd4hv3hj44	193	27	×	×	NN
work_ope6navdjndnnebvcd4hv3hj44	193	28	3	3	CD
work_ope6navdjndnnebvcd4hv3hj44	193	29	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	193	30	228	228	CD
work_ope6navdjndnnebvcd4hv3hj44	193	31	different	different	JJ
work_ope6navdjndnnebvcd4hv3hj44	193	32	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	193	33	variants	variant	NNS
work_ope6navdjndnnebvcd4hv3hj44	193	34	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	194	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	194	2	terms	term	NNS
work_ope6navdjndnnebvcd4hv3hj44	194	3	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	194	4	regres-	regres-	NNP
work_ope6navdjndnnebvcd4hv3hj44	194	5	sion	sion	NN
work_ope6navdjndnnebvcd4hv3hj44	194	6	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	194	7	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	194	8	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	194	9	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	194	10	slightly	slightly	RB
work_ope6navdjndnnebvcd4hv3hj44	194	11	larger	large	JJR
work_ope6navdjndnnebvcd4hv3hj44	194	12	set	set	NN
work_ope6navdjndnnebvcd4hv3hj44	194	13	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	194	14	97	97	CD
work_ope6navdjndnnebvcd4hv3hj44	194	15	base	base	NN
work_ope6navdjndnnebvcd4hv3hj44	194	16	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	194	17	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	194	18	were	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	194	19	then	then	RB
work_ope6navdjndnnebvcd4hv3hj44	194	20	tried	try	VBN
work_ope6navdjndnnebvcd4hv3hj44	194	21	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	194	22	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	194	23	without	without	IN
work_ope6navdjndnnebvcd4hv3hj44	194	24	resampling	resample	VBG
work_ope6navdjndnnebvcd4hv3hj44	194	25	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	194	26	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	194	27	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	194	28	total	total	NN
work_ope6navdjndnnebvcd4hv3hj44	194	29	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	194	30	97	97	CD
work_ope6navdjndnnebvcd4hv3hj44	194	31	×	×	NN
work_ope6navdjndnnebvcd4hv3hj44	194	32	2	2	CD
work_ope6navdjndnnebvcd4hv3hj44	194	33	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	194	34	194	194	CD
work_ope6navdjndnnebvcd4hv3hj44	194	35	variants	variant	NNS
work_ope6navdjndnnebvcd4hv3hj44	194	36	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	195	1	All	all	PDT
work_ope6navdjndnnebvcd4hv3hj44	195	2	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	195	3	variants	variant	NNS
work_ope6navdjndnnebvcd4hv3hj44	195	4	were	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	195	5	compared	compare	VBN
work_ope6navdjndnnebvcd4hv3hj44	195	6	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	195	7	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	195	8	data	data	NN
work_ope6navdjndnnebvcd4hv3hj44	195	9	sets	set	NNS
work_ope6navdjndnnebvcd4hv3hj44	195	10	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	195	11	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	195	12	12	12	CD
work_ope6navdjndnnebvcd4hv3hj44	195	13	companies	company	NNS
work_ope6navdjndnnebvcd4hv3hj44	195	14	described	describe	VBN
work_ope6navdjndnnebvcd4hv3hj44	195	15	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	195	16	Section	Section	NNP
work_ope6navdjndnnebvcd4hv3hj44	195	17	3.1	3.1	CD
work_ope6navdjndnnebvcd4hv3hj44	195	18	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	195	19	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	195	20	methodology	methodology	NN
work_ope6navdjndnnebvcd4hv3hj44	195	21	described	describe	VBN
work_ope6navdjndnnebvcd4hv3hj44	195	22	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	195	23	Section	Section	NNP
work_ope6navdjndnnebvcd4hv3hj44	195	24	3.3	3.3	CD
work_ope6navdjndnnebvcd4hv3hj44	195	25	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	196	1	We	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	196	2	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	196	3	divided	divide	VBN
work_ope6navdjndnnebvcd4hv3hj44	196	4	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	196	5	experimental	experimental	JJ
work_ope6navdjndnnebvcd4hv3hj44	196	6	analysis	analysis	NN
work_ope6navdjndnnebvcd4hv3hj44	196	7	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	196	8	two	two	CD
work_ope6navdjndnnebvcd4hv3hj44	196	9	main	main	JJ
work_ope6navdjndnnebvcd4hv3hj44	196	10	parts	part	NNS
work_ope6navdjndnnebvcd4hv3hj44	196	11	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	197	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	197	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	197	3	first	first	JJ
work_ope6navdjndnnebvcd4hv3hj44	197	4	one	one	CD
work_ope6navdjndnnebvcd4hv3hj44	197	5	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	197	6	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	197	7	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	197	8	company	company	NN
work_ope6navdjndnnebvcd4hv3hj44	197	9	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	197	10	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	197	11	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	197	12	metric	metric	JJ
work_ope6navdjndnnebvcd4hv3hj44	197	13	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	197	14	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	197	15	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	197	16	compared	compare	VBN
work_ope6navdjndnnebvcd4hv3hj44	197	17	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	197	18	best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	197	19	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	197	20	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	197	21	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	197	22	variant	variant	NN
work_ope6navdjndnnebvcd4hv3hj44	197	23	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	197	24	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	197	25	Wilcoxon	Wilcoxon	NNP
work_ope6navdjndnnebvcd4hv3hj44	197	26	singed‐	singed‐	NN
work_ope6navdjndnnebvcd4hv3hj44	197	27	rank	rank	NN
work_ope6navdjndnnebvcd4hv3hj44	197	28	statistical	statistical	JJ
work_ope6navdjndnnebvcd4hv3hj44	197	29	test	test	NN
work_ope6navdjndnnebvcd4hv3hj44	197	30	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	197	31	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	197	32	significance	significance	NN
work_ope6navdjndnnebvcd4hv3hj44	197	33	level	level	NN
work_ope6navdjndnnebvcd4hv3hj44	197	34	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	197	35	0.05	0.05	CD
work_ope6navdjndnnebvcd4hv3hj44	197	36	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	197	37	check	check	VB
work_ope6navdjndnnebvcd4hv3hj44	197	38	if	if	IN
work_ope6navdjndnnebvcd4hv3hj44	197	39	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	197	40	can	can	MD
work_ope6navdjndnnebvcd4hv3hj44	197	41	reject	reject	VB
work_ope6navdjndnnebvcd4hv3hj44	197	42	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	197	43	null	null	JJ
work_ope6navdjndnnebvcd4hv3hj44	197	44	hypothesis	hypothesis	NN
work_ope6navdjndnnebvcd4hv3hj44	197	45	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	197	46	there	there	EX
work_ope6navdjndnnebvcd4hv3hj44	197	47	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	197	48	no	no	DT
work_ope6navdjndnnebvcd4hv3hj44	197	49	significant	significant	JJ
work_ope6navdjndnnebvcd4hv3hj44	197	50	difference	difference	NN
work_ope6navdjndnnebvcd4hv3hj44	197	51	between	between	IN
work_ope6navdjndnnebvcd4hv3hj44	197	52	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	197	53	best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	197	54	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	197	55	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	197	56	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	197	57	variants	variant	NNS
work_ope6navdjndnnebvcd4hv3hj44	197	58	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	198	1	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	198	2	leads	lead	VBZ
work_ope6navdjndnnebvcd4hv3hj44	198	3	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	198	4	12	12	CD
work_ope6navdjndnnebvcd4hv3hj44	198	5	statistical	statistical	JJ
work_ope6navdjndnnebvcd4hv3hj44	198	6	tests	test	NNS
work_ope6navdjndnnebvcd4hv3hj44	198	7	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	198	8	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	198	9	metric	metric	JJ
work_ope6navdjndnnebvcd4hv3hj44	198	10	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	198	11	one	one	CD
work_ope6navdjndnnebvcd4hv3hj44	198	12	test	test	NN
work_ope6navdjndnnebvcd4hv3hj44	198	13	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	198	14	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	198	15	company	company	NN
work_ope6navdjndnnebvcd4hv3hj44	198	16	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	198	17	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	198	18	where	where	WRB
work_ope6navdjndnnebvcd4hv3hj44	198	19	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	198	20	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	198	21	compared	compare	VBN
work_ope6navdjndnnebvcd4hv3hj44	198	22	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	198	23	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	198	24	company	company	NN
work_ope6navdjndnnebvcd4hv3hj44	198	25	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	198	26	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	198	27	necessarily	necessarily	RB
work_ope6navdjndnnebvcd4hv3hj44	198	28	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	198	29	same	same	JJ
work_ope6navdjndnnebvcd4hv3hj44	198	30	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	199	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	199	2	motivation	motivation	NN
work_ope6navdjndnnebvcd4hv3hj44	199	3	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	199	4	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	199	5	first	first	JJ
work_ope6navdjndnnebvcd4hv3hj44	199	6	part	part	NN
work_ope6navdjndnnebvcd4hv3hj44	199	7	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	199	8	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	199	9	compare	compare	VB
work_ope6navdjndnnebvcd4hv3hj44	199	10	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	199	11	best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	199	12	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	199	13	variant	variant	JJ
work_ope6navdjndnnebvcd4hv3hj44	199	14	against	against	IN
work_ope6navdjndnnebvcd4hv3hj44	199	15	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	199	16	best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	199	17	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	199	18	variant	variant	JJ
work_ope6navdjndnnebvcd4hv3hj44	199	19	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	199	20	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	199	21	company	company	NN
work_ope6navdjndnnebvcd4hv3hj44	199	22	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	199	23	metric	metric	NN
work_ope6navdjndnnebvcd4hv3hj44	199	24	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	200	1	Figure	figure	NN
work_ope6navdjndnnebvcd4hv3hj44	200	2	7	7	CD
work_ope6navdjndnnebvcd4hv3hj44	200	3	shows	show	VBZ
work_ope6navdjndnnebvcd4hv3hj44	200	4	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	200	5	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	200	6	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	200	7	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	200	8	comparison	comparison	NN
work_ope6navdjndnnebvcd4hv3hj44	200	9	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	200	10	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	200	11	Total	Total	NNP
work_ope6navdjndnnebvcd4hv3hj44	200	12	Return	Return	NNP
work_ope6navdjndnnebvcd4hv3hj44	200	13	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	200	14	Sharpe	Sharpe	NNP
work_ope6navdjndnnebvcd4hv3hj44	200	15	Ratio	ratio	JJ
work_ope6navdjndnnebvcd4hv3hj44	200	16	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	200	17	evaluation	evaluation	NN
work_ope6navdjndnnebvcd4hv3hj44	200	18	metrics	metric	NNS
work_ope6navdjndnnebvcd4hv3hj44	200	19	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	201	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	201	2	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	201	3	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	201	4	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	201	5	figures	figure	NNS
work_ope6navdjndnnebvcd4hv3hj44	201	6	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	201	7	somewhat	somewhat	RB
work_ope6navdjndnnebvcd4hv3hj44	201	8	correlated	correlate	VBN
work_ope6navdjndnnebvcd4hv3hj44	201	9	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	202	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	202	2	effect	effect	NN
work_ope6navdjndnnebvcd4hv3hj44	202	3	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	202	4	whenever	whenever	WRB
work_ope6navdjndnnebvcd4hv3hj44	202	5	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	202	6	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	202	7	found	find	VBN
work_ope6navdjndnnebvcd4hv3hj44	202	8	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	202	9	significant	significant	JJ
work_ope6navdjndnnebvcd4hv3hj44	202	10	difference	difference	NN
work_ope6navdjndnnebvcd4hv3hj44	202	11	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	202	12	terms	term	NNS
work_ope6navdjndnnebvcd4hv3hj44	202	13	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	202	14	Total	Total	NNP
work_ope6navdjndnnebvcd4hv3hj44	202	15	Return	Return	NNP
work_ope6navdjndnnebvcd4hv3hj44	202	16	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	202	17	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	202	18	same	same	JJ
work_ope6navdjndnnebvcd4hv3hj44	202	19	also	also	RB
work_ope6navdjndnnebvcd4hv3hj44	202	20	FIGURE	FIGURE	NNP
work_ope6navdjndnnebvcd4hv3hj44	202	21	7	7	CD
work_ope6navdjndnnebvcd4hv3hj44	202	22	Best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	202	23	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	202	24	variant	variant	NN
work_ope6navdjndnnebvcd4hv3hj44	202	25	against	against	IN
work_ope6navdjndnnebvcd4hv3hj44	202	26	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	202	27	best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	202	28	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	202	29	one	one	CD
work_ope6navdjndnnebvcd4hv3hj44	202	30	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	202	31	respective	respective	JJ
work_ope6navdjndnnebvcd4hv3hj44	202	32	variant	variant	NN
work_ope6navdjndnnebvcd4hv3hj44	202	33	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	202	34	significantly	significantly	RB
work_ope6navdjndnnebvcd4hv3hj44	202	35	better	well	JJR
work_ope6navdjndnnebvcd4hv3hj44	202	36	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	202	37	according	accord	VBG
work_ope6navdjndnnebvcd4hv3hj44	202	38	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	202	39	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	202	40	Wilcoxon	Wilcoxon	NNP
work_ope6navdjndnnebvcd4hv3hj44	202	41	test	test	NN
work_ope6navdjndnnebvcd4hv3hj44	202	42	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	202	43	happened	happen	VBN
work_ope6navdjndnnebvcd4hv3hj44	202	44	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	202	45	terms	term	NNS
work_ope6navdjndnnebvcd4hv3hj44	202	46	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	202	47	Sharpe	Sharpe	NNP
work_ope6navdjndnnebvcd4hv3hj44	202	48	Ratio	Ratio	NNP
work_ope6navdjndnnebvcd4hv3hj44	202	49	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	203	1	Regarding	regard	VBG
work_ope6navdjndnnebvcd4hv3hj44	203	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	203	3	left	left	JJ
work_ope6navdjndnnebvcd4hv3hj44	203	4	graph	graph	NN
work_ope6navdjndnnebvcd4hv3hj44	203	5	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	203	6	Total	Total	NNP
work_ope6navdjndnnebvcd4hv3hj44	203	7	Return	Return	NNP
work_ope6navdjndnnebvcd4hv3hj44	203	8	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	203	9	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	203	10	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	203	11	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	203	12	one	one	CD
work_ope6navdjndnnebvcd4hv3hj44	203	13	significant	significant	JJ
work_ope6navdjndnnebvcd4hv3hj44	203	14	win	win	NN
work_ope6navdjndnnebvcd4hv3hj44	203	15	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	203	16	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	203	17	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	203	18	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	203	19	6	6	CD
work_ope6navdjndnnebvcd4hv3hj44	203	20	against	against	IN
work_ope6navdjndnnebvcd4hv3hj44	203	21	four	four	CD
work_ope6navdjndnnebvcd4hv3hj44	203	22	non‐ignificant	non‐ignificant	NN
work_ope6navdjndnnebvcd4hv3hj44	203	23	wins	win	NNS
work_ope6navdjndnnebvcd4hv3hj44	203	24	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	203	25	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	203	26	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	203	27	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	203	28	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	203	29	respectively	respectively	RB
work_ope6navdjndnnebvcd4hv3hj44	203	30	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	204	1	With	with	IN
work_ope6navdjndnnebvcd4hv3hj44	204	2	respect	respect	NN
work_ope6navdjndnnebvcd4hv3hj44	204	3	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	204	4	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	204	5	right	right	JJ
work_ope6navdjndnnebvcd4hv3hj44	204	6	graph	graph	NN
work_ope6navdjndnnebvcd4hv3hj44	204	7	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	204	8	Sharpe	Sharpe	NNP
work_ope6navdjndnnebvcd4hv3hj44	204	9	Ratio	Ratio	NNP
work_ope6navdjndnnebvcd4hv3hj44	204	10	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	204	11	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	204	12	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	204	13	can	can	MD
work_ope6navdjndnnebvcd4hv3hj44	204	14	observe	observe	VB
work_ope6navdjndnnebvcd4hv3hj44	204	15	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	204	16	slight	slight	JJ
work_ope6navdjndnnebvcd4hv3hj44	204	17	advantage	advantage	NN
work_ope6navdjndnnebvcd4hv3hj44	204	18	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	204	19	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	204	20	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	204	21	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	204	22	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	204	23	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	204	24	one	one	CD
work_ope6navdjndnnebvcd4hv3hj44	204	25	more	more	RBR
work_ope6navdjndnnebvcd4hv3hj44	204	26	significant	significant	JJ
work_ope6navdjndnnebvcd4hv3hj44	204	27	win	win	NN
work_ope6navdjndnnebvcd4hv3hj44	204	28	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	204	29	eight	eight	CD
work_ope6navdjndnnebvcd4hv3hj44	204	30	vs	vs	IN
work_ope6navdjndnnebvcd4hv3hj44	204	31	one	one	CD
work_ope6navdjndnnebvcd4hv3hj44	204	32	non‐significant	non‐significant	NN
work_ope6navdjndnnebvcd4hv3hj44	204	33	wins	win	VBZ
work_ope6navdjndnnebvcd4hv3hj44	204	34	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	205	1	Overall	overall	RB
work_ope6navdjndnnebvcd4hv3hj44	205	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	205	3	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	205	4	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	205	5	observed	observe	VBN
work_ope6navdjndnnebvcd4hv3hj44	205	6	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	205	7	very	very	RB
work_ope6navdjndnnebvcd4hv3hj44	205	8	slight	slight	JJ
work_ope6navdjndnnebvcd4hv3hj44	205	9	advantage	advantage	NN
work_ope6navdjndnnebvcd4hv3hj44	205	10	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	205	11	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	205	12	best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	205	13	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	205	14	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	205	15	against	against	IN
work_ope6navdjndnnebvcd4hv3hj44	205	16	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	205	17	best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	205	18	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	205	19	variant	variant	JJ
work_ope6navdjndnnebvcd4hv3hj44	205	20	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	206	1	From	from	IN
work_ope6navdjndnnebvcd4hv3hj44	206	2	an	an	DT
work_ope6navdjndnnebvcd4hv3hj44	206	3	economical	economical	JJ
work_ope6navdjndnnebvcd4hv3hj44	206	4	perspective	perspective	NN
work_ope6navdjndnnebvcd4hv3hj44	206	5	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	206	6	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	206	7	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	206	8	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	206	9	contradictory	contradictory	JJ
work_ope6navdjndnnebvcd4hv3hj44	206	10	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	207	1	For	for	IN
work_ope6navdjndnnebvcd4hv3hj44	207	2	instance	instance	NN
work_ope6navdjndnnebvcd4hv3hj44	207	3	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	207	4	there	there	EX
work_ope6navdjndnnebvcd4hv3hj44	207	5	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	207	6	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	207	7	very	very	RB
work_ope6navdjndnnebvcd4hv3hj44	207	8	high	high	JJ
work_ope6navdjndnnebvcd4hv3hj44	207	9	level	level	NN
work_ope6navdjndnnebvcd4hv3hj44	207	10	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	207	11	Total	total	JJ
work_ope6navdjndnnebvcd4hv3hj44	207	12	Return	Return	NNP
work_ope6navdjndnnebvcd4hv3hj44	207	13	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	207	14	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	207	15	Meg	Meg	NNP
work_ope6navdjndnnebvcd4hv3hj44	207	16	company	company	NN
work_ope6navdjndnnebvcd4hv3hj44	207	17	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	207	18	above	above	IN
work_ope6navdjndnnebvcd4hv3hj44	207	19	60	60	CD
work_ope6navdjndnnebvcd4hv3hj44	207	20	%	%	NN
work_ope6navdjndnnebvcd4hv3hj44	207	21	return	return	NN
work_ope6navdjndnnebvcd4hv3hj44	207	22	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	207	23	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	207	24	but	but	CC
work_ope6navdjndnnebvcd4hv3hj44	207	25	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	207	26	best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	207	27	Sharpe	Sharpe	NNP
work_ope6navdjndnnebvcd4hv3hj44	207	28	Ratio	Ratio	NNP
work_ope6navdjndnnebvcd4hv3hj44	207	29	was	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	207	30	very	very	RB
work_ope6navdjndnnebvcd4hv3hj44	207	31	low	low	JJ
work_ope6navdjndnnebvcd4hv3hj44	207	32	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	208	1	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	208	2	means	mean	VBZ
work_ope6navdjndnnebvcd4hv3hj44	208	3	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	208	4	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	208	5	best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	208	6	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	208	7	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	208	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	208	9	first	first	JJ
work_ope6navdjndnnebvcd4hv3hj44	208	10	metric	metric	NN
work_ope6navdjndnnebvcd4hv3hj44	208	11	was	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	208	12	taking	take	VBG
work_ope6navdjndnnebvcd4hv3hj44	208	13	enormous	enormous	JJ
work_ope6navdjndnnebvcd4hv3hj44	208	14	amounts	amount	NNS
work_ope6navdjndnnebvcd4hv3hj44	208	15	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	208	16	risk	risk	NN
work_ope6navdjndnnebvcd4hv3hj44	208	17	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	208	18	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	208	19	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	208	20	high	high	JJ
work_ope6navdjndnnebvcd4hv3hj44	208	21	level	level	NN
work_ope6navdjndnnebvcd4hv3hj44	208	22	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	208	23	return	return	NN
work_ope6navdjndnnebvcd4hv3hj44	208	24	achieved	achieve	VBN
work_ope6navdjndnnebvcd4hv3hj44	208	25	was	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	208	26	probably	probably	RB
work_ope6navdjndnnebvcd4hv3hj44	208	27	due	due	IN
work_ope6navdjndnnebvcd4hv3hj44	208	28	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	208	29	pure	pure	JJ
work_ope6navdjndnnebvcd4hv3hj44	208	30	luck	luck	NN
work_ope6navdjndnnebvcd4hv3hj44	208	31	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	209	1	On	on	IN
work_ope6navdjndnnebvcd4hv3hj44	209	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	209	3	other	other	JJ
work_ope6navdjndnnebvcd4hv3hj44	209	4	hand	hand	NN
work_ope6navdjndnnebvcd4hv3hj44	209	5	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	209	6	there	there	EX
work_ope6navdjndnnebvcd4hv3hj44	209	7	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	209	8	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	209	9	high	high	JJ
work_ope6navdjndnnebvcd4hv3hj44	209	10	values	value	NNS
work_ope6navdjndnnebvcd4hv3hj44	209	11	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	209	12	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	209	13	Total	Total	NNP
work_ope6navdjndnnebvcd4hv3hj44	209	14	Return	Return	NNP
work_ope6navdjndnnebvcd4hv3hj44	209	15	accompanied	accompany	VBN
work_ope6navdjndnnebvcd4hv3hj44	209	16	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	209	17	high	high	JJ
work_ope6navdjndnnebvcd4hv3hj44	209	18	levels	level	NNS
work_ope6navdjndnnebvcd4hv3hj44	209	19	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	209	20	Sharpe	Sharpe	NNP
work_ope6navdjndnnebvcd4hv3hj44	209	21	Ratio	Ratio	NNP
work_ope6navdjndnnebvcd4hv3hj44	209	22	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	209	23	such	such	JJ
work_ope6navdjndnnebvcd4hv3hj44	209	24	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	209	25	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	209	26	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	209	27	Exas	Exas	NNP
work_ope6navdjndnnebvcd4hv3hj44	209	28	company	company	NN
work_ope6navdjndnnebvcd4hv3hj44	209	29	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	210	1	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	210	2	strongly	strongly	RB
work_ope6navdjndnnebvcd4hv3hj44	210	3	suggests	suggest	VBZ
work_ope6navdjndnnebvcd4hv3hj44	210	4	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	210	5	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	210	6	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	210	7	could	could	MD
work_ope6navdjndnnebvcd4hv3hj44	210	8	actually	actually	RB
work_ope6navdjndnnebvcd4hv3hj44	210	9	provide	provide	VB
work_ope6navdjndnnebvcd4hv3hj44	210	10	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	210	11	profit	profit	NN
work_ope6navdjndnnebvcd4hv3hj44	210	12	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	210	13	low	low	JJ
work_ope6navdjndnnebvcd4hv3hj44	210	14	risk	risk	NN
work_ope6navdjndnnebvcd4hv3hj44	210	15	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	210	16	thus	thus	RB
work_ope6navdjndnnebvcd4hv3hj44	210	17	indicating	indicate	VBG
work_ope6navdjndnnebvcd4hv3hj44	210	18	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	210	19	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	210	20	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	210	21	actually	actually	RB
work_ope6navdjndnnebvcd4hv3hj44	210	22	predicted	predict	VBD
work_ope6navdjndnnebvcd4hv3hj44	210	23	meaningful	meaningful	JJ
work_ope6navdjndnnebvcd4hv3hj44	210	24	signals	signal	NNS
work_ope6navdjndnnebvcd4hv3hj44	210	25	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	211	1	Given	give	VBN
work_ope6navdjndnnebvcd4hv3hj44	211	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	211	3	high	high	JJ
work_ope6navdjndnnebvcd4hv3hj44	211	4	variability	variability	NN
work_ope6navdjndnnebvcd4hv3hj44	211	5	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	211	6	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	211	7	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	211	8	across	across	IN
work_ope6navdjndnnebvcd4hv3hj44	211	9	companies	company	NNS
work_ope6navdjndnnebvcd4hv3hj44	211	10	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	211	11	taking	take	VBG
work_ope6navdjndnnebvcd4hv3hj44	211	12	conclusions	conclusion	NNS
work_ope6navdjndnnebvcd4hv3hj44	211	13	solely	solely	RB
work_ope6navdjndnnebvcd4hv3hj44	211	14	based	base	VBN
work_ope6navdjndnnebvcd4hv3hj44	211	15	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	211	16	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	211	17	analysis	analysis	NN
work_ope6navdjndnnebvcd4hv3hj44	211	18	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	211	19	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	211	20	best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	211	21	variant	variant	JJ
work_ope6navdjndnnebvcd4hv3hj44	211	22	per	per	IN
work_ope6navdjndnnebvcd4hv3hj44	211	23	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	211	24	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	211	25	per	per	IN
work_ope6navdjndnnebvcd4hv3hj44	211	26	metric	metric	JJ
work_ope6navdjndnnebvcd4hv3hj44	211	27	may	may	MD
work_ope6navdjndnnebvcd4hv3hj44	211	28	lead	lead	VB
work_ope6navdjndnnebvcd4hv3hj44	211	29	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	211	30	wrong	wrong	JJ
work_ope6navdjndnnebvcd4hv3hj44	211	31	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	211	32	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	212	1	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	212	2	establishes	establish	VBZ
work_ope6navdjndnnebvcd4hv3hj44	212	3	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	212	4	motivation	motivation	NN
work_ope6navdjndnnebvcd4hv3hj44	212	5	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	212	6	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	212	7	second	second	JJ
work_ope6navdjndnnebvcd4hv3hj44	212	8	part	part	NN
work_ope6navdjndnnebvcd4hv3hj44	212	9	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	212	10	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	212	11	experiments	experiment	NNS
work_ope6navdjndnnebvcd4hv3hj44	212	12	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	213	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	213	2	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	213	3	second	second	JJ
work_ope6navdjndnnebvcd4hv3hj44	213	4	part	part	NN
work_ope6navdjndnnebvcd4hv3hj44	213	5	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	213	6	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	213	7	experiments	experiment	NNS
work_ope6navdjndnnebvcd4hv3hj44	213	8	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	213	9	instead	instead	RB
work_ope6navdjndnnebvcd4hv3hj44	213	10	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	213	11	grouping	group	VBG
work_ope6navdjndnnebvcd4hv3hj44	213	12	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	213	13	metric	metric	NN
work_ope6navdjndnnebvcd4hv3hj44	213	14	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	213	15	company	company	NN
work_ope6navdjndnnebvcd4hv3hj44	213	16	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	213	17	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	213	18	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	213	19	just	just	RB
work_ope6navdjndnnebvcd4hv3hj44	213	20	group	group	VB
work_ope6navdjndnnebvcd4hv3hj44	213	21	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	213	22	metric	metric	JJ
work_ope6navdjndnnebvcd4hv3hj44	213	23	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	213	24	study	study	VB
work_ope6navdjndnnebvcd4hv3hj44	213	25	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	213	26	average	average	JJ
work_ope6navdjndnnebvcd4hv3hj44	213	27	rank	rank	NN
work_ope6navdjndnnebvcd4hv3hj44	213	28	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	213	29	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	213	30	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	213	31	across	across	IN
work_ope6navdjndnnebvcd4hv3hj44	213	32	all	all	PDT
work_ope6navdjndnnebvcd4hv3hj44	213	33	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	213	34	companies	company	NNS
work_ope6navdjndnnebvcd4hv3hj44	213	35	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	213	36	top	top	JJ
work_ope6navdjndnnebvcd4hv3hj44	213	37	five	five	CD
work_ope6navdjndnnebvcd4hv3hj44	213	38	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	213	39	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	213	40	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	213	41	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	213	42	considered	consider	VBN
work_ope6navdjndnnebvcd4hv3hj44	213	43	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	213	44	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	214	1	With	with	IN
work_ope6navdjndnnebvcd4hv3hj44	214	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	214	3	use	use	NN
work_ope6navdjndnnebvcd4hv3hj44	214	4	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	214	5	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	214	6	Friedman	Friedman	NNP
work_ope6navdjndnnebvcd4hv3hj44	214	7	test	test	NN
work_ope6navdjndnnebvcd4hv3hj44	214	8	followed	follow	VBN
work_ope6navdjndnnebvcd4hv3hj44	214	9	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	214	10	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	214	11	post	post	FW
work_ope6navdjndnnebvcd4hv3hj44	214	12	hoc	hoc	FW
work_ope6navdjndnnebvcd4hv3hj44	214	13	Nemenyi	Nemenyi	NNP
work_ope6navdjndnnebvcd4hv3hj44	214	14	test	test	NN
work_ope6navdjndnnebvcd4hv3hj44	214	15	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	214	16	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	214	17	check	check	VBP
work_ope6navdjndnnebvcd4hv3hj44	214	18	whether	whether	IN
work_ope6navdjndnnebvcd4hv3hj44	214	19	there	there	EX
work_ope6navdjndnnebvcd4hv3hj44	214	20	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	214	21	statistically	statistically	RB
work_ope6navdjndnnebvcd4hv3hj44	214	22	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	214	23	Total	Total	NNP
work_ope6navdjndnnebvcd4hv3hj44	214	24	Return	Return	NNP
work_ope6navdjndnnebvcd4hv3hj44	214	25	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	214	26	Sharpe	Sharpe	NNP
work_ope6navdjndnnebvcd4hv3hj44	214	27	Ratio	Ratio	NNP
work_ope6navdjndnnebvcd4hv3hj44	214	28	metrics	metric	NNS
work_ope6navdjndnnebvcd4hv3hj44	214	29	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	214	30	asterisks	asterisk	NNS
work_ope6navdjndnnebvcd4hv3hj44	214	31	denote	denote	VBP
work_ope6navdjndnnebvcd4hv3hj44	214	32	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	214	33	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	214	34	α	α	NNP
work_ope6navdjndnnebvcd4hv3hj44	214	35	=	=	SYM
work_ope6navdjndnnebvcd4hv3hj44	214	36	0.05	0.05	CD
work_ope6navdjndnnebvcd4hv3hj44	214	37	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	214	38	10	10	CD
work_ope6navdjndnnebvcd4hv3hj44	214	39	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	214	40	13	13	CD
work_ope6navdjndnnebvcd4hv3hj44	214	41	BAÍA	BAÍA	NNS
work_ope6navdjndnnebvcd4hv3hj44	214	42	AND	and	CC
work_ope6navdjndnnebvcd4hv3hj44	214	43	TORGO	torgo	NN
work_ope6navdjndnnebvcd4hv3hj44	214	44	significant	significant	JJ
work_ope6navdjndnnebvcd4hv3hj44	214	45	differences	difference	NNS
work_ope6navdjndnnebvcd4hv3hj44	214	46	among	among	IN
work_ope6navdjndnnebvcd4hv3hj44	214	47	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	214	48	rankings	ranking	NNS
work_ope6navdjndnnebvcd4hv3hj44	214	49	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	215	1	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	215	2	way	way	NN
work_ope6navdjndnnebvcd4hv3hj44	215	3	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	215	4	if	if	IN
work_ope6navdjndnnebvcd4hv3hj44	215	5	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	215	6	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	215	7	obtains	obtain	VBZ
work_ope6navdjndnnebvcd4hv3hj44	215	8	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	215	9	very	very	RB
work_ope6navdjndnnebvcd4hv3hj44	215	10	good	good	JJ
work_ope6navdjndnnebvcd4hv3hj44	215	11	result	result	NN
work_ope6navdjndnnebvcd4hv3hj44	215	12	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	215	13	one	one	CD
work_ope6navdjndnnebvcd4hv3hj44	215	14	company	company	NN
work_ope6navdjndnnebvcd4hv3hj44	215	15	but	but	CC
work_ope6navdjndnnebvcd4hv3hj44	215	16	poor	poor	JJ
work_ope6navdjndnnebvcd4hv3hj44	215	17	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	215	18	all	all	PDT
work_ope6navdjndnnebvcd4hv3hj44	215	19	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	215	20	others	other	NNS
work_ope6navdjndnnebvcd4hv3hj44	215	21	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	215	22	meaning	mean	VBG
work_ope6navdjndnnebvcd4hv3hj44	215	23	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	215	24	it	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	215	25	was	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	215	26	lucky	lucky	JJ
work_ope6navdjndnnebvcd4hv3hj44	215	27	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	215	28	that	that	DT
work_ope6navdjndnnebvcd4hv3hj44	215	29	specific	specific	JJ
work_ope6navdjndnnebvcd4hv3hj44	215	30	company	company	NN
work_ope6navdjndnnebvcd4hv3hj44	215	31	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	215	32	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	215	33	its	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	215	34	average	average	JJ
work_ope6navdjndnnebvcd4hv3hj44	215	35	rank-	rank-	JJ
work_ope6navdjndnnebvcd4hv3hj44	215	36	ing	ing	NN
work_ope6navdjndnnebvcd4hv3hj44	215	37	will	will	MD
work_ope6navdjndnnebvcd4hv3hj44	215	38	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	215	39	low	low	JJ
work_ope6navdjndnnebvcd4hv3hj44	215	40	allowing	allow	VBG
work_ope6navdjndnnebvcd4hv3hj44	215	41	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	215	42	top	top	JJ
work_ope6navdjndnnebvcd4hv3hj44	215	43	average	average	JJ
work_ope6navdjndnnebvcd4hv3hj44	215	44	rankings	ranking	NNS
work_ope6navdjndnnebvcd4hv3hj44	215	45	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	215	46	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	215	47	populated	populate	VBN
work_ope6navdjndnnebvcd4hv3hj44	215	48	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	215	49	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	215	50	true	true	JJ
work_ope6navdjndnnebvcd4hv3hj44	215	51	top	top	JJ
work_ope6navdjndnnebvcd4hv3hj44	215	52	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	215	53	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	215	54	perform	perform	VBP
work_ope6navdjndnnebvcd4hv3hj44	215	55	well	well	RB
work_ope6navdjndnnebvcd4hv3hj44	215	56	across	across	IN
work_ope6navdjndnnebvcd4hv3hj44	215	57	most	most	JJS
work_ope6navdjndnnebvcd4hv3hj44	215	58	companies	company	NNS
work_ope6navdjndnnebvcd4hv3hj44	215	59	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	216	1	Figure	figure	NN
work_ope6navdjndnnebvcd4hv3hj44	216	2	8	8	CD
work_ope6navdjndnnebvcd4hv3hj44	216	3	summarizes	summarize	VBZ
work_ope6navdjndnnebvcd4hv3hj44	216	4	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	216	5	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	216	6	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	216	7	terms	term	NNS
work_ope6navdjndnnebvcd4hv3hj44	216	8	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	216	9	Total	Total	NNP
work_ope6navdjndnnebvcd4hv3hj44	216	10	Return	Return	NNP
work_ope6navdjndnnebvcd4hv3hj44	216	11	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	216	12	Sharpe	Sharpe	NNP
work_ope6navdjndnnebvcd4hv3hj44	216	13	Ratio	ratio	NN
work_ope6navdjndnnebvcd4hv3hj44	216	14	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	217	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	217	2	either	either	DT
work_ope6navdjndnnebvcd4hv3hj44	217	3	case	case	NN
work_ope6navdjndnnebvcd4hv3hj44	217	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	217	5	because	because	IN
work_ope6navdjndnnebvcd4hv3hj44	217	6	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	217	7	could	could	MD
work_ope6navdjndnnebvcd4hv3hj44	217	8	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	217	9	reject	reject	VB
work_ope6navdjndnnebvcd4hv3hj44	217	10	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	217	11	Friedman	Friedman	NNP
work_ope6navdjndnnebvcd4hv3hj44	217	12	null	null	NN
work_ope6navdjndnnebvcd4hv3hj44	217	13	hypothesis	hypothesis	NN
work_ope6navdjndnnebvcd4hv3hj44	217	14	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	217	15	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	217	16	post	post	FW
work_ope6navdjndnnebvcd4hv3hj44	217	17	hoc	hoc	FW
work_ope6navdjndnnebvcd4hv3hj44	217	18	Nemenyi	Nemenyi	NNP
work_ope6navdjndnnebvcd4hv3hj44	217	19	test	test	NN
work_ope6navdjndnnebvcd4hv3hj44	217	20	was	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	217	21	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	217	22	performed	perform	VBN
work_ope6navdjndnnebvcd4hv3hj44	217	23	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	218	1	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	218	2	means	mean	VBZ
work_ope6navdjndnnebvcd4hv3hj44	218	3	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	218	4	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	218	5	can	can	MD
work_ope6navdjndnnebvcd4hv3hj44	218	6	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	218	7	say	say	VB
work_ope6navdjndnnebvcd4hv3hj44	218	8	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	218	9	95	95	CD
work_ope6navdjndnnebvcd4hv3hj44	218	10	%	%	NN
work_ope6navdjndnnebvcd4hv3hj44	218	11	confidence	confidence	NN
work_ope6navdjndnnebvcd4hv3hj44	218	12	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	218	13	there	there	EX
work_ope6navdjndnnebvcd4hv3hj44	218	14	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	218	15	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	218	16	sig-	sig-	JJ
work_ope6navdjndnnebvcd4hv3hj44	218	17	nificant	nificant	JJ
work_ope6navdjndnnebvcd4hv3hj44	218	18	difference	difference	NN
work_ope6navdjndnnebvcd4hv3hj44	218	19	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	218	20	terms	term	NNS
work_ope6navdjndnnebvcd4hv3hj44	218	21	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	218	22	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	218	23	average	average	JJ
work_ope6navdjndnnebvcd4hv3hj44	218	24	rank	rank	NN
work_ope6navdjndnnebvcd4hv3hj44	218	25	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	218	26	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	218	27	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	218	28	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	218	29	both	both	DT
work_ope6navdjndnnebvcd4hv3hj44	218	30	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	218	31	Total	Total	NNP
work_ope6navdjndnnebvcd4hv3hj44	218	32	Return	Return	NNP
work_ope6navdjndnnebvcd4hv3hj44	218	33	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	218	34	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	218	35	Sharpe	Sharpe	NNP
work_ope6navdjndnnebvcd4hv3hj44	218	36	Ratio	ratio	NN
work_ope6navdjndnnebvcd4hv3hj44	218	37	between	between	IN
work_ope6navdjndnnebvcd4hv3hj44	218	38	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	218	39	two	two	CD
work_ope6navdjndnnebvcd4hv3hj44	218	40	modeling	model	VBG
work_ope6navdjndnnebvcd4hv3hj44	218	41	approaches	approach	NNS
work_ope6navdjndnnebvcd4hv3hj44	218	42	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	219	1	Nevertheless	nevertheless	RB
work_ope6navdjndnnebvcd4hv3hj44	219	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	219	3	there	there	EX
work_ope6navdjndnnebvcd4hv3hj44	219	4	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	219	5	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	219	6	observations	observation	NNS
work_ope6navdjndnnebvcd4hv3hj44	219	7	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	219	8	remark	remark	VB
work_ope6navdjndnnebvcd4hv3hj44	219	9	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	220	1	Regarding	regard	VBG
work_ope6navdjndnnebvcd4hv3hj44	220	2	Total	Total	NNP
work_ope6navdjndnnebvcd4hv3hj44	220	3	Return	Return	NNP
work_ope6navdjndnnebvcd4hv3hj44	220	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	220	5	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	220	6	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	220	7	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	220	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	220	9	best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	220	10	average	average	JJ
work_ope6navdjndnnebvcd4hv3hj44	220	11	ranking	ranking	NN
work_ope6navdjndnnebvcd4hv3hj44	220	12	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	220	13	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	220	14	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	220	15	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	220	16	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	220	17	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	220	18	–	–	:
work_ope6navdjndnnebvcd4hv3hj44	220	19	benefit	benefit	NN
work_ope6navdjndnnebvcd4hv3hj44	220	20	matrices	matrix	NNS
work_ope6navdjndnnebvcd4hv3hj44	220	21	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	221	1	All	all	PDT
work_ope6navdjndnnebvcd4hv3hj44	221	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	221	3	remaining	remain	VBG
work_ope6navdjndnnebvcd4hv3hj44	221	4	clas-	clas-	JJ
work_ope6navdjndnnebvcd4hv3hj44	221	5	sification	sification	NN
work_ope6navdjndnnebvcd4hv3hj44	221	6	variants	variant	NNS
work_ope6navdjndnnebvcd4hv3hj44	221	7	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	221	8	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	221	9	their	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	221	10	original	original	JJ
work_ope6navdjndnnebvcd4hv3hj44	221	11	form	form	NN
work_ope6navdjndnnebvcd4hv3hj44	221	12	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	221	13	without	without	IN
work_ope6navdjndnnebvcd4hv3hj44	221	14	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	221	15	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	221	16	–	–	:
work_ope6navdjndnnebvcd4hv3hj44	221	17	benefit	benefit	NN
work_ope6navdjndnnebvcd4hv3hj44	221	18	matrices	matrix	NNS
work_ope6navdjndnnebvcd4hv3hj44	221	19	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	221	20	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	221	21	occupying	occupy	VBG
work_ope6navdjndnnebvcd4hv3hj44	221	22	mostly	mostly	RB
work_ope6navdjndnnebvcd4hv3hj44	221	23	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	221	24	last	last	JJ
work_ope6navdjndnnebvcd4hv3hj44	221	25	positions	position	NNS
work_ope6navdjndnnebvcd4hv3hj44	221	26	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	221	27	terms	term	NNS
work_ope6navdjndnnebvcd4hv3hj44	221	28	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	221	29	average	average	JJ
work_ope6navdjndnnebvcd4hv3hj44	221	30	rankings	ranking	NNS
work_ope6navdjndnnebvcd4hv3hj44	221	31	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	222	1	Moreover	moreover	RB
work_ope6navdjndnnebvcd4hv3hj44	222	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	222	3	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	222	4	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	222	5	single	single	JJ
work_ope6navdjndnnebvcd4hv3hj44	222	6	variant	variant	NN
work_ope6navdjndnnebvcd4hv3hj44	222	7	obtained	obtain	VBN
work_ope6navdjndnnebvcd4hv3hj44	222	8	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	222	9	SMOTE	SMOTE	NNP
work_ope6navdjndnnebvcd4hv3hj44	222	10	appears	appear	VBZ
work_ope6navdjndnnebvcd4hv3hj44	222	11	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	222	12	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	222	13	top	top	JJ
work_ope6navdjndnnebvcd4hv3hj44	222	14	five	five	CD
work_ope6navdjndnnebvcd4hv3hj44	222	15	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	222	16	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	222	17	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	222	18	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	222	19	which	which	WDT
work_ope6navdjndnnebvcd4hv3hj44	222	20	means	mean	VBZ
work_ope6navdjndnnebvcd4hv3hj44	222	21	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	222	22	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	222	23	confirm	confirm	VBP
work_ope6navdjndnnebvcd4hv3hj44	222	24	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	222	25	resampling	resampling	NN
work_ope6navdjndnnebvcd4hv3hj44	222	26	does	do	VBZ
work_ope6navdjndnnebvcd4hv3hj44	222	27	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	222	28	seem	seem	VB
work_ope6navdjndnnebvcd4hv3hj44	222	29	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	222	30	pay	pay	VB
work_ope6navdjndnnebvcd4hv3hj44	222	31	off	off	RP
work_ope6navdjndnnebvcd4hv3hj44	222	32	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	222	33	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	222	34	type	type	NN
work_ope6navdjndnnebvcd4hv3hj44	222	35	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	222	36	applications	application	NNS
work_ope6navdjndnnebvcd4hv3hj44	222	37	due	due	IN
work_ope6navdjndnnebvcd4hv3hj44	222	38	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	222	39	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	222	40	economic	economic	JJ
work_ope6navdjndnnebvcd4hv3hj44	222	41	costs	cost	NNS
work_ope6navdjndnnebvcd4hv3hj44	222	42	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	222	43	making	make	VBG
work_ope6navdjndnnebvcd4hv3hj44	222	44	more	more	RBR
work_ope6navdjndnnebvcd4hv3hj44	222	45	risky	risky	JJ
work_ope6navdjndnnebvcd4hv3hj44	222	46	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	222	47	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	223	1	Furthermore	furthermore	RB
work_ope6navdjndnnebvcd4hv3hj44	223	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	223	3	another	another	DT
work_ope6navdjndnnebvcd4hv3hj44	223	4	very	very	RB
work_ope6navdjndnnebvcd4hv3hj44	223	5	interesting	interesting	JJ
work_ope6navdjndnnebvcd4hv3hj44	223	6	remark	remark	NN
work_ope6navdjndnnebvcd4hv3hj44	223	7	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	223	8	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	223	9	all	all	PDT
work_ope6navdjndnnebvcd4hv3hj44	223	10	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	223	11	top	top	JJ
work_ope6navdjndnnebvcd4hv3hj44	223	12	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	223	13	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	223	14	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	223	15	SVMs	svm	NNS
work_ope6navdjndnnebvcd4hv3hj44	223	16	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	223	17	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	223	18	base	base	NN
work_ope6navdjndnnebvcd4hv3hj44	223	19	learning	learn	VBG
work_ope6navdjndnnebvcd4hv3hj44	223	20	algorithm	algorithm	NNP
work_ope6navdjndnnebvcd4hv3hj44	223	21	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	224	1	Overall	overall	RB
work_ope6navdjndnnebvcd4hv3hj44	224	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	224	3	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	224	4	can	can	MD
work_ope6navdjndnnebvcd4hv3hj44	224	5	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	224	6	say	say	VB
work_ope6navdjndnnebvcd4hv3hj44	224	7	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	224	8	any	any	DT
work_ope6navdjndnnebvcd4hv3hj44	224	9	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	224	10	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	224	11	two	two	CD
work_ope6navdjndnnebvcd4hv3hj44	224	12	approaches	approach	NNS
work_ope6navdjndnnebvcd4hv3hj44	224	13	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	224	14	forecasting	forecast	VBG
work_ope6navdjndnnebvcd4hv3hj44	224	15	directly	directly	RB
work_ope6navdjndnnebvcd4hv3hj44	224	16	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	224	17	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	224	18	actions	action	NNS
work_ope6navdjndnnebvcd4hv3hj44	224	19	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	224	20	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	224	21	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	224	22	or	or	CC
work_ope6navdjndnnebvcd4hv3hj44	224	23	forecasting	forecast	VBG
work_ope6navdjndnnebvcd4hv3hj44	224	24	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	224	25	price	price	NN
work_ope6navdjndnnebvcd4hv3hj44	224	26	returns	return	NNS
work_ope6navdjndnnebvcd4hv3hj44	224	27	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	224	28	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	224	29	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	224	30	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	224	31	better	well	JJR
work_ope6navdjndnnebvcd4hv3hj44	224	32	than	than	IN
work_ope6navdjndnnebvcd4hv3hj44	224	33	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	224	34	other	other	JJ
work_ope6navdjndnnebvcd4hv3hj44	224	35	regarding	regard	VBG
work_ope6navdjndnnebvcd4hv3hj44	224	36	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	224	37	Total	Total	NNP
work_ope6navdjndnnebvcd4hv3hj44	224	38	Return	Return	NNP
work_ope6navdjndnnebvcd4hv3hj44	224	39	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	225	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	225	2	second	second	JJ
work_ope6navdjndnnebvcd4hv3hj44	225	3	part	part	NN
work_ope6navdjndnnebvcd4hv3hj44	225	4	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	225	5	Figure	figure	NN
work_ope6navdjndnnebvcd4hv3hj44	225	6	8	8	CD
work_ope6navdjndnnebvcd4hv3hj44	225	7	shows	show	VBZ
work_ope6navdjndnnebvcd4hv3hj44	225	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	225	9	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	225	10	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	225	11	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	225	12	same	same	JJ
work_ope6navdjndnnebvcd4hv3hj44	225	13	exper-	exper-	JJ
work_ope6navdjndnnebvcd4hv3hj44	225	14	iment	iment	NN
work_ope6navdjndnnebvcd4hv3hj44	225	15	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	225	16	terms	term	NNS
work_ope6navdjndnnebvcd4hv3hj44	225	17	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	225	18	Sharpe	Sharpe	NNP
work_ope6navdjndnnebvcd4hv3hj44	225	19	Ratio	Ratio	NNP
work_ope6navdjndnnebvcd4hv3hj44	225	20	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	225	21	that	that	RB
work_ope6navdjndnnebvcd4hv3hj44	225	22	is	is	RB
work_ope6navdjndnnebvcd4hv3hj44	225	23	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	225	24	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	225	25	risk	risk	NN
work_ope6navdjndnnebvcd4hv3hj44	225	26	exposure	exposure	NN
work_ope6navdjndnnebvcd4hv3hj44	225	27	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	225	28	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	225	29	alterna-	alterna-	NN
work_ope6navdjndnnebvcd4hv3hj44	225	30	tives	tive	NNS
work_ope6navdjndnnebvcd4hv3hj44	225	31	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	226	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	226	2	conclusions	conclusion	NNS
work_ope6navdjndnnebvcd4hv3hj44	226	3	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	226	4	quite	quite	RB
work_ope6navdjndnnebvcd4hv3hj44	226	5	similar	similar	JJ
work_ope6navdjndnnebvcd4hv3hj44	226	6	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	226	7	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	226	8	Total	Total	NNP
work_ope6navdjndnnebvcd4hv3hj44	226	9	Return	Return	NNP
work_ope6navdjndnnebvcd4hv3hj44	226	10	metric	metric	NN
work_ope6navdjndnnebvcd4hv3hj44	226	11	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	227	1	FIGURE	FIGURE	NNP
work_ope6navdjndnnebvcd4hv3hj44	227	2	8	8	CD
work_ope6navdjndnnebvcd4hv3hj44	227	3	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	227	4	top	top	JJ
work_ope6navdjndnnebvcd4hv3hj44	227	5	five	five	CD
work_ope6navdjndnnebvcd4hv3hj44	227	6	average	average	JJ
work_ope6navdjndnnebvcd4hv3hj44	227	7	ranking	ranking	JJ
work_ope6navdjndnnebvcd4hv3hj44	227	8	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	227	9	variants	variant	NNS
work_ope6navdjndnnebvcd4hv3hj44	227	10	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	227	11	both	both	DT
work_ope6navdjndnnebvcd4hv3hj44	227	12	modeling	model	VBG
work_ope6navdjndnnebvcd4hv3hj44	227	13	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	227	14	iants	iant	NNS
work_ope6navdjndnnebvcd4hv3hj44	227	15	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	227	16	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	227	17	their	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	227	18	average	average	JJ
work_ope6navdjndnnebvcd4hv3hj44	227	19	rankings	ranking	NNS
work_ope6navdjndnnebvcd4hv3hj44	227	20	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	227	21	recalculated	recalculate	VBN
work_ope6navdjndnnebvcd4hv3hj44	227	22	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	228	1	Each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	228	2	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	228	3	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	228	4	thus	thus	RB
work_ope6navdjndnnebvcd4hv3hj44	228	5	given	give	VBN
work_ope6navdjndnnebvcd4hv3hj44	228	6	implies	implie	NNS
work_ope6navdjndnnebvcd4hv3hj44	228	7	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	228	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	228	9	Friedmans	Friedmans	NNPS
work_ope6navdjndnnebvcd4hv3hj44	228	10	null	null	NN
work_ope6navdjndnnebvcd4hv3hj44	228	11	hypothesis	hypothesis	NN
work_ope6navdjndnnebvcd4hv3hj44	228	12	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	228	13	all	all	DT
work_ope6navdjndnnebvcd4hv3hj44	228	14	averages	average	NNS
work_ope6navdjndnnebvcd4hv3hj44	228	15	being	be	VBG
work_ope6navdjndnnebvcd4hv3hj44	228	16	equal	equal	JJ
work_ope6navdjndnnebvcd4hv3hj44	228	17	was	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	228	18	r	r	DT
work_ope6navdjndnnebvcd4hv3hj44	228	19	black	black	JJ
work_ope6navdjndnnebvcd4hv3hj44	228	20	line	line	NN
work_ope6navdjndnnebvcd4hv3hj44	228	21	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	228	22	considered	consider	VBN
work_ope6navdjndnnebvcd4hv3hj44	228	23	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	228	24	have	have	VB
work_ope6navdjndnnebvcd4hv3hj44	228	25	their	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	228	26	average	average	JJ
work_ope6navdjndnnebvcd4hv3hj44	228	27	rankings	ranking	NNS
work_ope6navdjndnnebvcd4hv3hj44	228	28	significantly	significantly	RB
work_ope6navdjndnnebvcd4hv3hj44	228	29	differen	differen	VBP
work_ope6navdjndnnebvcd4hv3hj44	228	30	Once	once	RB
work_ope6navdjndnnebvcd4hv3hj44	228	31	again	again	RB
work_ope6navdjndnnebvcd4hv3hj44	228	32	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	228	33	no	no	DT
work_ope6navdjndnnebvcd4hv3hj44	228	34	significant	significant	JJ
work_ope6navdjndnnebvcd4hv3hj44	228	35	differences	difference	NNS
work_ope6navdjndnnebvcd4hv3hj44	228	36	were	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	228	37	observed	observe	VBN
work_ope6navdjndnnebvcd4hv3hj44	228	38	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	229	1	Still	still	RB
work_ope6navdjndnnebvcd4hv3hj44	229	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	229	3	one	one	PRP
work_ope6navdjndnnebvcd4hv3hj44	229	4	should	should	MD
work_ope6navdjndnnebvcd4hv3hj44	229	5	note	note	VB
work_ope6navdjndnnebvcd4hv3hj44	229	6	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	229	7	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	229	8	first	first	JJ
work_ope6navdjndnnebvcd4hv3hj44	229	9	five	five	CD
work_ope6navdjndnnebvcd4hv3hj44	229	10	places	place	NNS
work_ope6navdjndnnebvcd4hv3hj44	229	11	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	229	12	dominated	dominate	VBN
work_ope6navdjndnnebvcd4hv3hj44	229	13	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	229	14	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	229	15	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	229	16	approaches	approach	NNS
work_ope6navdjndnnebvcd4hv3hj44	229	17	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	230	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	230	2	best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	230	3	variant	variant	NN
work_ope6navdjndnnebvcd4hv3hj44	230	4	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	230	5	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	230	6	Total	Total	NNP
work_ope6navdjndnnebvcd4hv3hj44	230	7	Return	Return	NNP
work_ope6navdjndnnebvcd4hv3hj44	230	8	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	230	9	also	also	RB
work_ope6navdjndnnebvcd4hv3hj44	230	10	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	230	11	best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	230	12	variant	variant	NN
work_ope6navdjndnnebvcd4hv3hj44	230	13	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	230	14	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	230	15	Sharpe	Sharpe	NNP
work_ope6navdjndnnebvcd4hv3hj44	230	16	Ratio	Ratio	NNP
work_ope6navdjndnnebvcd4hv3hj44	230	17	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	230	18	which	which	WDT
work_ope6navdjndnnebvcd4hv3hj44	230	19	makes	make	VBZ
work_ope6navdjndnnebvcd4hv3hj44	230	20	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	230	21	variant	variant	NN
work_ope6navdjndnnebvcd4hv3hj44	230	22	unarguably	unarguably	RB
work_ope6navdjndnnebvcd4hv3hj44	230	23	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	230	24	best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	230	25	one	one	CD
work_ope6navdjndnnebvcd4hv3hj44	230	26	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	230	27	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	230	28	study	study	NN
work_ope6navdjndnnebvcd4hv3hj44	230	29	when	when	WRB
work_ope6navdjndnnebvcd4hv3hj44	230	30	considering	consider	VBG
work_ope6navdjndnnebvcd4hv3hj44	230	31	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	230	32	12	12	CD
work_ope6navdjndnnebvcd4hv3hj44	230	33	different	different	JJ
work_ope6navdjndnnebvcd4hv3hj44	230	34	companies	company	NNS
work_ope6navdjndnnebvcd4hv3hj44	230	35	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	231	1	Hence	hence	RB
work_ope6navdjndnnebvcd4hv3hj44	231	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	231	3	ultimately	ultimately	RB
work_ope6navdjndnnebvcd4hv3hj44	231	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	231	5	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	231	6	can	can	MD
work_ope6navdjndnnebvcd4hv3hj44	231	7	state	state	VB
work_ope6navdjndnnebvcd4hv3hj44	231	8	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	231	9	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	231	10	most	most	RBS
work_ope6navdjndnnebvcd4hv3hj44	231	11	solid	solid	JJ
work_ope6navdjndnnebvcd4hv3hj44	231	12	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	231	13	belongs	belong	VBZ
work_ope6navdjndnnebvcd4hv3hj44	231	14	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	231	15	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	231	16	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	231	17	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	231	18	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	231	19	an	an	DT
work_ope6navdjndnnebvcd4hv3hj44	231	20	SVM	SVM	NNP
work_ope6navdjndnnebvcd4hv3hj44	231	21	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	231	22	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	231	23	–	–	:
work_ope6navdjndnnebvcd4hv3hj44	231	24	benefit	benefit	NN
work_ope6navdjndnnebvcd4hv3hj44	231	25	matrices	matrix	NNS
work_ope6navdjndnnebvcd4hv3hj44	231	26	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	231	27	because	because	IN
work_ope6navdjndnnebvcd4hv3hj44	231	28	it	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	231	29	obtained	obtain	VBD
work_ope6navdjndnnebvcd4hv3hj44	231	30	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	231	31	highest	high	JJS
work_ope6navdjndnnebvcd4hv3hj44	231	32	returns	return	NNS
work_ope6navdjndnnebvcd4hv3hj44	231	33	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	231	34	lowest	low	JJS
work_ope6navdjndnnebvcd4hv3hj44	231	35	associated	associated	JJ
work_ope6navdjndnnebvcd4hv3hj44	231	36	risk	risk	NN
work_ope6navdjndnnebvcd4hv3hj44	231	37	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	232	1	Finally	finally	RB
work_ope6navdjndnnebvcd4hv3hj44	232	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	232	3	unlike	unlike	IN
work_ope6navdjndnnebvcd4hv3hj44	232	4	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	232	5	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	232	6	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	232	7	Total	Total	NNP
work_ope6navdjndnnebvcd4hv3hj44	232	8	Return	Return	NNP
work_ope6navdjndnnebvcd4hv3hj44	232	9	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	232	10	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	232	11	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	232	12	case	case	NN
work_ope6navdjndnnebvcd4hv3hj44	232	13	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	232	14	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	232	15	observe	observe	VBP
work_ope6navdjndnnebvcd4hv3hj44	232	16	other	other	JJ
work_ope6navdjndnnebvcd4hv3hj44	232	17	learning	learn	VBG
work_ope6navdjndnnebvcd4hv3hj44	232	18	algorithms	algorithm	NNS
work_ope6navdjndnnebvcd4hv3hj44	232	19	appearing	appear	VBG
work_ope6navdjndnnebvcd4hv3hj44	232	20	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	232	21	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	232	22	top	top	JJ
work_ope6navdjndnnebvcd4hv3hj44	232	23	five	five	CD
work_ope6navdjndnnebvcd4hv3hj44	232	24	best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	232	25	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	232	26	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	233	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	233	2	conclusion	conclusion	NN
work_ope6navdjndnnebvcd4hv3hj44	233	3	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	233	4	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	233	5	can	can	MD
work_ope6navdjndnnebvcd4hv3hj44	233	6	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	233	7	state	state	VB
work_ope6navdjndnnebvcd4hv3hj44	233	8	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	233	9	one	one	CD
work_ope6navdjndnnebvcd4hv3hj44	233	10	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	233	11	performs	perform	VBZ
work_ope6navdjndnnebvcd4hv3hj44	233	12	definitely	definitely	RB
work_ope6navdjndnnebvcd4hv3hj44	233	13	better	well	RBR
work_ope6navdjndnnebvcd4hv3hj44	233	14	than	than	IN
work_ope6navdjndnnebvcd4hv3hj44	233	15	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	233	16	other	other	JJ
work_ope6navdjndnnebvcd4hv3hj44	233	17	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	233	18	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	233	19	context	context	NN
work_ope6navdjndnnebvcd4hv3hj44	233	20	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	233	21	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	233	22	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	233	23	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	233	24	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	234	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	234	2	scientific	scientific	JJ
work_ope6navdjndnnebvcd4hv3hj44	234	3	community	community	NN
work_ope6navdjndnnebvcd4hv3hj44	234	4	typically	typically	RB
work_ope6navdjndnnebvcd4hv3hj44	234	5	puts	put	VBZ
work_ope6navdjndnnebvcd4hv3hj44	234	6	more	more	JJR
work_ope6navdjndnnebvcd4hv3hj44	234	7	effort	effort	NN
work_ope6navdjndnnebvcd4hv3hj44	234	8	into	into	IN
work_ope6navdjndnnebvcd4hv3hj44	234	9	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	234	10	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	234	11	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	234	12	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	234	13	but	but	CC
work_ope6navdjndnnebvcd4hv3hj44	234	14	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	234	15	study	study	NN
work_ope6navdjndnnebvcd4hv3hj44	234	16	strongly	strongly	RB
work_ope6navdjndnnebvcd4hv3hj44	234	17	suggests	suggest	VBZ
work_ope6navdjndnnebvcd4hv3hj44	234	18	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	234	19	both	both	DT
work_ope6navdjndnnebvcd4hv3hj44	234	20	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	234	21	at	at	IN
work_ope6navdjndnnebvcd4hv3hj44	234	22	least	least	JJS
work_ope6navdjndnnebvcd4hv3hj44	234	23	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	234	24	same	same	JJ
work_ope6navdjndnnebvcd4hv3hj44	234	25	potential	potential	NN
work_ope6navdjndnnebvcd4hv3hj44	234	26	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	235	1	Actually	actually	RB
work_ope6navdjndnnebvcd4hv3hj44	235	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	235	3	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	235	4	most	most	RBS
work_ope6navdjndnnebvcd4hv3hj44	235	5	consistent	consistent	JJ
work_ope6navdjndnnebvcd4hv3hj44	235	6	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	235	7	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	235	8	could	could	MD
work_ope6navdjndnnebvcd4hv3hj44	235	9	obtain	obtain	VB
work_ope6navdjndnnebvcd4hv3hj44	235	10	belongs	belong	VBZ
work_ope6navdjndnnebvcd4hv3hj44	235	11	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	235	12	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	235	13	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	235	14	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	235	15	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	236	1	Another	another	DT
work_ope6navdjndnnebvcd4hv3hj44	236	2	interest-	interest-	JJ
work_ope6navdjndnnebvcd4hv3hj44	236	3	ing	ing	NN
work_ope6navdjndnnebvcd4hv3hj44	236	4	conclusion	conclusion	NN
work_ope6navdjndnnebvcd4hv3hj44	236	5	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	236	6	that	that	DT
work_ope6navdjndnnebvcd4hv3hj44	236	7	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	236	8	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	236	9	considerably	considerably	RB
work_ope6navdjndnnebvcd4hv3hj44	236	10	large	large	JJ
work_ope6navdjndnnebvcd4hv3hj44	236	11	set	set	NN
work_ope6navdjndnnebvcd4hv3hj44	236	12	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	236	13	different	different	JJ
work_ope6navdjndnnebvcd4hv3hj44	236	14	types	type	NNS
work_ope6navdjndnnebvcd4hv3hj44	236	15	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	236	16	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	236	17	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	236	18	SVMs	svm	NNS
work_ope6navdjndnnebvcd4hv3hj44	236	19	achieved	achieve	VBD
work_ope6navdjndnnebvcd4hv3hj44	236	20	better	well	JJR
work_ope6navdjndnnebvcd4hv3hj44	236	21	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	236	22	both	both	CC
work_ope6navdjndnnebvcd4hv3hj44	236	23	when	when	WRB
work_ope6navdjndnnebvcd4hv3hj44	236	24	considering	consider	VBG
work_ope6navdjndnnebvcd4hv3hj44	236	25	classifi-	classifi-	XX
work_ope6navdjndnnebvcd4hv3hj44	236	26	cation	cation	NN
work_ope6navdjndnnebvcd4hv3hj44	236	27	or	or	CC
work_ope6navdjndnnebvcd4hv3hj44	236	28	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	236	29	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	236	30	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	237	1	5	5	CD
work_ope6navdjndnnebvcd4hv3hj44	237	2	|	|	CD
work_ope6navdjndnnebvcd4hv3hj44	237	3	DISCUSSION	DISCUSSION	NNP
work_ope6navdjndnnebvcd4hv3hj44	237	4	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	237	5	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	237	6	paper	paper	NN
work_ope6navdjndnnebvcd4hv3hj44	237	7	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	237	8	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	237	9	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	237	10	studied	study	VBN
work_ope6navdjndnnebvcd4hv3hj44	237	11	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	237	12	question	question	NN
work_ope6navdjndnnebvcd4hv3hj44	237	13	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	237	14	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	237	15	versus	versus	IN
work_ope6navdjndnnebvcd4hv3hj44	237	16	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	237	17	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	237	18	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	237	19	making	make	VBG
work_ope6navdjndnnebvcd4hv3hj44	237	20	problems	problem	NNS
work_ope6navdjndnnebvcd4hv3hj44	237	21	based	base	VBN
work_ope6navdjndnnebvcd4hv3hj44	237	22	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	237	23	forecasts	forecast	NNS
work_ope6navdjndnnebvcd4hv3hj44	237	24	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	237	25	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	237	26	numeric	numeric	JJ
work_ope6navdjndnnebvcd4hv3hj44	237	27	variable	variable	NN
work_ope6navdjndnnebvcd4hv3hj44	237	28	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	238	1	Our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	238	2	study	study	NN
work_ope6navdjndnnebvcd4hv3hj44	238	3	was	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	238	4	focused	focus	VBN
work_ope6navdjndnnebvcd4hv3hj44	238	5	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	238	6	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	238	7	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	238	8	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	238	9	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	238	10	so	so	CC
work_ope6navdjndnnebvcd4hv3hj44	238	11	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	238	12	obvious	obvious	JJ
work_ope6navdjndnnebvcd4hv3hj44	238	13	question	question	NN
work_ope6navdjndnnebvcd4hv3hj44	238	14	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	238	15	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	238	16	follows	follow	VBZ
work_ope6navdjndnnebvcd4hv3hj44	238	17	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	238	18	Can	Can	MD
work_ope6navdjndnnebvcd4hv3hj44	238	19	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	238	20	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	238	21	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	238	22	generalized	generalize	VBN
work_ope6navdjndnnebvcd4hv3hj44	238	23	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	238	24	other	other	JJ
work_ope6navdjndnnebvcd4hv3hj44	238	25	domains	domain	NNS
work_ope6navdjndnnebvcd4hv3hj44	238	26	/	/	SYM
work_ope6navdjndnnebvcd4hv3hj44	238	27	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	238	28	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	238	29	similar	similar	JJ
work_ope6navdjndnnebvcd4hv3hj44	238	30	structure	structure	NN
work_ope6navdjndnnebvcd4hv3hj44	238	31	?	?	.
work_ope6navdjndnnebvcd4hv3hj44	239	1	pproaches	pproache	NNS
work_ope6navdjndnnebvcd4hv3hj44	239	2	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	239	3	Classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	239	4	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	239	5	Regression	Regression	NNP
work_ope6navdjndnnebvcd4hv3hj44	239	6	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	239	7	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	239	8	forming	form	VBG
work_ope6navdjndnnebvcd4hv3hj44	239	9	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	239	10	new	new	JJ
work_ope6navdjndnnebvcd4hv3hj44	239	11	set	set	NN
work_ope6navdjndnnebvcd4hv3hj44	239	12	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	239	13	var-	var-	NN
work_ope6navdjndnnebvcd4hv3hj44	239	14	an	an	DT
work_ope6navdjndnnebvcd4hv3hj44	239	15	average	average	JJ
work_ope6navdjndnnebvcd4hv3hj44	239	16	ranking	ranking	NN
work_ope6navdjndnnebvcd4hv3hj44	239	17	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	239	18	x	x	SYM
work_ope6navdjndnnebvcd4hv3hj44	239	19	axis	axis	NNP
work_ope6navdjndnnebvcd4hv3hj44	239	20	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	239	21	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	240	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	240	2	presence	presence	NN
work_ope6navdjndnnebvcd4hv3hj44	240	3	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	240	4	at	at	RB
work_ope6navdjndnnebvcd4hv3hj44	240	5	least	least	RBS
work_ope6navdjndnnebvcd4hv3hj44	240	6	one	one	CD
work_ope6navdjndnnebvcd4hv3hj44	240	7	black	black	JJ
work_ope6navdjndnnebvcd4hv3hj44	240	8	line	line	NN
work_ope6navdjndnnebvcd4hv3hj44	240	9	ejected	eject	VBN
work_ope6navdjndnnebvcd4hv3hj44	240	10	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	241	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	241	2	that	that	DT
work_ope6navdjndnnebvcd4hv3hj44	241	3	case	case	NN
work_ope6navdjndnnebvcd4hv3hj44	241	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	241	5	every	every	DT
work_ope6navdjndnnebvcd4hv3hj44	241	6	pair	pair	NN
work_ope6navdjndnnebvcd4hv3hj44	241	7	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	241	8	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	241	9	variants	variant	NNS
work_ope6navdjndnnebvcd4hv3hj44	241	10	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	241	11	connected	connect	VBN
work_ope6navdjndnnebvcd4hv3hj44	241	12	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	241	13	any	any	DT
work_ope6navdjndnnebvcd4hv3hj44	241	14	t	t	NN
work_ope6navdjndnnebvcd4hv3hj44	241	15	according	accord	VBG
work_ope6navdjndnnebvcd4hv3hj44	241	16	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	241	17	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	241	18	Nemenyi	Nemenyi	NNP
work_ope6navdjndnnebvcd4hv3hj44	241	19	statistical	statistical	JJ
work_ope6navdjndnnebvcd4hv3hj44	241	20	test	test	NN
work_ope6navdjndnnebvcd4hv3hj44	241	21	BAÍA	BAÍA	NNP
work_ope6navdjndnnebvcd4hv3hj44	241	22	AND	and	CC
work_ope6navdjndnnebvcd4hv3hj44	241	23	TORGO	torgo	NN
work_ope6navdjndnnebvcd4hv3hj44	241	24	11	11	CD
work_ope6navdjndnnebvcd4hv3hj44	241	25	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	241	26	13	13	CD
work_ope6navdjndnnebvcd4hv3hj44	241	27	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	241	28	question	question	NN
work_ope6navdjndnnebvcd4hv3hj44	241	29	was	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	241	30	addressed	address	VBN
work_ope6navdjndnnebvcd4hv3hj44	241	31	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	241	32	Baia	Baia	NNP
work_ope6navdjndnnebvcd4hv3hj44	241	33	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	241	34	2015	2015	CD
work_ope6navdjndnnebvcd4hv3hj44	241	35	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	241	36	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	242	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	242	2	setup	setup	NN
work_ope6navdjndnnebvcd4hv3hj44	242	3	used	use	VBD
work_ope6navdjndnnebvcd4hv3hj44	242	4	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	242	5	that	that	DT
work_ope6navdjndnnebvcd4hv3hj44	242	6	work	work	NN
work_ope6navdjndnnebvcd4hv3hj44	242	7	was	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	242	8	rather	rather	RB
work_ope6navdjndnnebvcd4hv3hj44	242	9	similar	similar	JJ
work_ope6navdjndnnebvcd4hv3hj44	242	10	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	242	11	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	242	12	one	one	NN
work_ope6navdjndnnebvcd4hv3hj44	242	13	presented	present	VBN
work_ope6navdjndnnebvcd4hv3hj44	242	14	here	here	RB
work_ope6navdjndnnebvcd4hv3hj44	242	15	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	242	16	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	242	17	two	two	CD
work_ope6navdjndnnebvcd4hv3hj44	242	18	main	main	JJ
work_ope6navdjndnnebvcd4hv3hj44	242	19	dif-	dif-	NN
work_ope6navdjndnnebvcd4hv3hj44	242	20	ferences	ference	NNS
work_ope6navdjndnnebvcd4hv3hj44	242	21	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	242	22	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	242	23	a	a	LS
work_ope6navdjndnnebvcd4hv3hj44	242	24	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	242	25	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	242	26	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	242	27	were	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	242	28	associated	associate	VBN
work_ope6navdjndnnebvcd4hv3hj44	242	29	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	242	30	several	several	JJ
work_ope6navdjndnnebvcd4hv3hj44	242	31	distinct	distinct	JJ
work_ope6navdjndnnebvcd4hv3hj44	242	32	contexts	contexts	NN
work_ope6navdjndnnebvcd4hv3hj44	242	33	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	242	34	while	while	IN
work_ope6navdjndnnebvcd4hv3hj44	242	35	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	242	36	current	current	JJ
work_ope6navdjndnnebvcd4hv3hj44	242	37	paper	paper	NN
work_ope6navdjndnnebvcd4hv3hj44	242	38	focus	focus	NN
work_ope6navdjndnnebvcd4hv3hj44	242	39	only	only	RB
work_ope6navdjndnnebvcd4hv3hj44	242	40	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	242	41	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	242	42	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	242	43	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	242	44	;	;	:
work_ope6navdjndnnebvcd4hv3hj44	242	45	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	242	46	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	242	47	b	b	LS
work_ope6navdjndnnebvcd4hv3hj44	242	48	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	242	49	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	242	50	task	task	NN
work_ope6navdjndnnebvcd4hv3hj44	242	51	was	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	242	52	considered	consider	VBN
work_ope6navdjndnnebvcd4hv3hj44	242	53	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	242	54	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	242	55	different	different	JJ
work_ope6navdjndnnebvcd4hv3hj44	242	56	number	number	NN
work_ope6navdjndnnebvcd4hv3hj44	242	57	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	242	58	possible	possible	JJ
work_ope6navdjndnnebvcd4hv3hj44	242	59	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	242	60	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	242	61	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	242	62	made	make	VBN
work_ope6navdjndnnebvcd4hv3hj44	242	63	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	243	1	While	while	IN
work_ope6navdjndnnebvcd4hv3hj44	243	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	243	3	second	second	JJ
work_ope6navdjndnnebvcd4hv3hj44	243	4	point	point	NN
work_ope6navdjndnnebvcd4hv3hj44	243	5	allowed	allow	VBD
work_ope6navdjndnnebvcd4hv3hj44	243	6	us	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	243	7	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	243	8	evaluate	evaluate	VB
work_ope6navdjndnnebvcd4hv3hj44	243	9	if	if	IN
work_ope6navdjndnnebvcd4hv3hj44	243	10	one	one	CD
work_ope6navdjndnnebvcd4hv3hj44	243	11	modeling	modeling	NN
work_ope6navdjndnnebvcd4hv3hj44	243	12	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	243	13	could	could	MD
work_ope6navdjndnnebvcd4hv3hj44	243	14	gain	gain	VB
work_ope6navdjndnnebvcd4hv3hj44	243	15	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	243	16	specific	specific	JJ
work_ope6navdjndnnebvcd4hv3hj44	243	17	advantage	advantage	NN
work_ope6navdjndnnebvcd4hv3hj44	243	18	over	over	IN
work_ope6navdjndnnebvcd4hv3hj44	243	19	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	243	20	other	other	JJ
work_ope6navdjndnnebvcd4hv3hj44	243	21	depending	depending	NN
work_ope6navdjndnnebvcd4hv3hj44	243	22	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	243	23	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	243	24	number	number	NN
work_ope6navdjndnnebvcd4hv3hj44	243	25	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	243	26	values	value	NNS
work_ope6navdjndnnebvcd4hv3hj44	243	27	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	243	28	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	243	29	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	243	30	variable	variable	NN
work_ope6navdjndnnebvcd4hv3hj44	243	31	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	243	32	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	243	33	first	first	JJ
work_ope6navdjndnnebvcd4hv3hj44	243	34	point	point	NN
work_ope6navdjndnnebvcd4hv3hj44	243	35	let	let	VBD
work_ope6navdjndnnebvcd4hv3hj44	243	36	us	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	243	37	check	check	VB
work_ope6navdjndnnebvcd4hv3hj44	243	38	if	if	IN
work_ope6navdjndnnebvcd4hv3hj44	243	39	whatever	whatever	WDT
work_ope6navdjndnnebvcd4hv3hj44	243	40	conclusion	conclusion	NN
work_ope6navdjndnnebvcd4hv3hj44	243	41	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	243	42	reached	reach	VBD
work_ope6navdjndnnebvcd4hv3hj44	243	43	regarding	regard	VBG
work_ope6navdjndnnebvcd4hv3hj44	243	44	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	243	45	problems	problem	NNS
work_ope6navdjndnnebvcd4hv3hj44	243	46	would	would	MD
work_ope6navdjndnnebvcd4hv3hj44	243	47	also	also	RB
work_ope6navdjndnnebvcd4hv3hj44	243	48	apply	apply	VB
work_ope6navdjndnnebvcd4hv3hj44	243	49	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	243	50	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	243	51	more	more	RBR
work_ope6navdjndnnebvcd4hv3hj44	243	52	generic	generic	JJ
work_ope6navdjndnnebvcd4hv3hj44	243	53	context	context	NN
work_ope6navdjndnnebvcd4hv3hj44	243	54	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	244	1	Moreover	moreover	RB
work_ope6navdjndnnebvcd4hv3hj44	244	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	244	3	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	244	4	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	244	5	considered	consider	VBD
work_ope6navdjndnnebvcd4hv3hj44	244	6	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	244	7	Baia	Baia	NNP
work_ope6navdjndnnebvcd4hv3hj44	244	8	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	244	9	2015	2015	CD
work_ope6navdjndnnebvcd4hv3hj44	244	10	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	244	11	were	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	244	12	all	all	DT
work_ope6navdjndnnebvcd4hv3hj44	244	13	non‐temporal	non‐temporal	NNP
work_ope6navdjndnnebvcd4hv3hj44	244	14	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	244	15	stressing	stress	VBG
work_ope6navdjndnnebvcd4hv3hj44	244	16	out	out	RP
work_ope6navdjndnnebvcd4hv3hj44	244	17	even	even	RB
work_ope6navdjndnnebvcd4hv3hj44	244	18	more	more	JJR
work_ope6navdjndnnebvcd4hv3hj44	244	19	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	244	20	differences	difference	NNS
work_ope6navdjndnnebvcd4hv3hj44	244	21	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	244	22	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	244	23	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	244	24	problem	problem	NN
work_ope6navdjndnnebvcd4hv3hj44	244	25	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	245	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	245	2	main	main	JJ
work_ope6navdjndnnebvcd4hv3hj44	245	3	conclusions	conclusion	NNS
work_ope6navdjndnnebvcd4hv3hj44	245	4	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	245	5	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	245	6	study	study	NN
work_ope6navdjndnnebvcd4hv3hj44	245	7	carried	carry	VBN
work_ope6navdjndnnebvcd4hv3hj44	245	8	out	out	RP
work_ope6navdjndnnebvcd4hv3hj44	245	9	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	245	10	Baia	Baia	NNP
work_ope6navdjndnnebvcd4hv3hj44	245	11	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	245	12	2015	2015	CD
work_ope6navdjndnnebvcd4hv3hj44	245	13	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	245	14	were	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	245	15	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	245	16	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	245	17	overall	overall	RB
work_ope6navdjndnnebvcd4hv3hj44	245	18	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	245	19	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	245	20	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	245	21	modeling	modeling	NN
work_ope6navdjndnnebvcd4hv3hj44	245	22	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	245	23	can	can	MD
work_ope6navdjndnnebvcd4hv3hj44	245	24	outperform	outperform	RB
work_ope6navdjndnnebvcd4hv3hj44	245	25	more	more	RBR
work_ope6navdjndnnebvcd4hv3hj44	245	26	frequently	frequently	RB
work_ope6navdjndnnebvcd4hv3hj44	245	27	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	245	28	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	245	29	based	base	VBN
work_ope6navdjndnnebvcd4hv3hj44	245	30	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	245	31	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	245	32	tools	tool	NNS
work_ope6navdjndnnebvcd4hv3hj44	245	33	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	246	1	Whether	whether	IN
work_ope6navdjndnnebvcd4hv3hj44	246	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	246	3	user	user	NN
work_ope6navdjndnnebvcd4hv3hj44	246	4	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	246	5	willing	willing	JJ
work_ope6navdjndnnebvcd4hv3hj44	246	6	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	246	7	make	make	VB
work_ope6navdjndnnebvcd4hv3hj44	246	8	an	an	DT
work_ope6navdjndnnebvcd4hv3hj44	246	9	extensive	extensive	JJ
work_ope6navdjndnnebvcd4hv3hj44	246	10	search	search	NN
work_ope6navdjndnnebvcd4hv3hj44	246	11	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	246	12	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	246	13	optimal	optimal	JJ
work_ope6navdjndnnebvcd4hv3hj44	246	14	parameters	parameter	NNS
work_ope6navdjndnnebvcd4hv3hj44	246	15	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	246	16	model	model	VB
work_ope6navdjndnnebvcd4hv3hj44	246	17	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	246	18	certain	certain	JJ
work_ope6navdjndnnebvcd4hv3hj44	246	19	task	task	NN
work_ope6navdjndnnebvcd4hv3hj44	246	20	or	or	CC
work_ope6navdjndnnebvcd4hv3hj44	246	21	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	246	22	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	246	23	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	246	24	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	246	25	point	point	VBP
work_ope6navdjndnnebvcd4hv3hj44	246	26	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	246	27	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	246	28	same	same	JJ
work_ope6navdjndnnebvcd4hv3hj44	246	29	direction	direction	NN
work_ope6navdjndnnebvcd4hv3hj44	246	30	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	247	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	247	2	methods	method	NNS
work_ope6navdjndnnebvcd4hv3hj44	247	3	based	base	VBN
work_ope6navdjndnnebvcd4hv3hj44	247	4	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	247	5	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	247	6	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	247	7	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	247	8	tend	tend	VB
work_ope6navdjndnnebvcd4hv3hj44	247	9	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	247	10	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	247	11	better	well	JJR
work_ope6navdjndnnebvcd4hv3hj44	247	12	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	248	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	248	2	only	only	JJ
work_ope6navdjndnnebvcd4hv3hj44	248	3	setup	setup	NN
work_ope6navdjndnnebvcd4hv3hj44	248	4	where	where	WRB
work_ope6navdjndnnebvcd4hv3hj44	248	5	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	248	6	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	248	7	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	248	8	was	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	248	9	more	more	RBR
work_ope6navdjndnnebvcd4hv3hj44	248	10	competitive	competitive	JJ
work_ope6navdjndnnebvcd4hv3hj44	248	11	was	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	248	12	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	248	13	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	248	14	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	248	15	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	248	16	high	high	JJ
work_ope6navdjndnnebvcd4hv3hj44	248	17	number	number	NN
work_ope6navdjndnnebvcd4hv3hj44	248	18	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	248	19	classes	class	NNS
work_ope6navdjndnnebvcd4hv3hj44	248	20	/	/	SYM
work_ope6navdjndnnebvcd4hv3hj44	248	21	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	248	22	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	248	23	where	where	WRB
work_ope6navdjndnnebvcd4hv3hj44	248	24	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	248	25	user	user	NN
work_ope6navdjndnnebvcd4hv3hj44	248	26	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	248	27	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	248	28	merely	merely	RB
work_ope6navdjndnnebvcd4hv3hj44	248	29	interested	interested	JJ
work_ope6navdjndnnebvcd4hv3hj44	248	30	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	248	31	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	248	32	accuracy	accuracy	NN
work_ope6navdjndnnebvcd4hv3hj44	248	33	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	248	34	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	248	35	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	248	36	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	248	37	wants	want	VBZ
work_ope6navdjndnnebvcd4hv3hj44	248	38	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	248	39	consider	consider	VB
work_ope6navdjndnnebvcd4hv3hj44	248	40	different	different	JJ
work_ope6navdjndnnebvcd4hv3hj44	248	41	grades	grade	NNS
work_ope6navdjndnnebvcd4hv3hj44	248	42	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	248	43	severity	severity	NN
work_ope6navdjndnnebvcd4hv3hj44	248	44	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	248	45	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	248	46	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	248	47	errors	error	NNS
work_ope6navdjndnnebvcd4hv3hj44	248	48	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	249	1	Contrary	contrary	JJ
work_ope6navdjndnnebvcd4hv3hj44	249	2	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	249	3	what	what	WP
work_ope6navdjndnnebvcd4hv3hj44	249	4	was	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	249	5	observed	observe	VBN
work_ope6navdjndnnebvcd4hv3hj44	249	6	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	249	7	Baia	Baia	NNP
work_ope6navdjndnnebvcd4hv3hj44	249	8	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	249	9	2015	2015	CD
work_ope6navdjndnnebvcd4hv3hj44	249	10	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	249	11	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	249	12	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	249	13	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	249	14	paper	paper	NN
work_ope6navdjndnnebvcd4hv3hj44	249	15	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	249	16	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	249	17	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	249	18	gathered	gather	VBN
work_ope6navdjndnnebvcd4hv3hj44	249	19	enough	enough	JJ
work_ope6navdjndnnebvcd4hv3hj44	249	20	evidence	evidence	NN
work_ope6navdjndnnebvcd4hv3hj44	249	21	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	249	22	state	state	NN
work_ope6navdjndnnebvcd4hv3hj44	249	23	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	249	24	there	there	EX
work_ope6navdjndnnebvcd4hv3hj44	249	25	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	249	26	no	no	DT
work_ope6navdjndnnebvcd4hv3hj44	249	27	statistically	statistically	RB
work_ope6navdjndnnebvcd4hv3hj44	249	28	significant	significant	JJ
work_ope6navdjndnnebvcd4hv3hj44	249	29	difference	difference	NN
work_ope6navdjndnnebvcd4hv3hj44	249	30	between	between	IN
work_ope6navdjndnnebvcd4hv3hj44	249	31	both	both	DT
work_ope6navdjndnnebvcd4hv3hj44	249	32	approaches	approach	NNS
work_ope6navdjndnnebvcd4hv3hj44	249	33	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	249	34	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	249	35	context	context	NN
work_ope6navdjndnnebvcd4hv3hj44	249	36	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	249	37	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	249	38	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	249	39	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	249	40	problem	problem	NN
work_ope6navdjndnnebvcd4hv3hj44	249	41	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	250	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	250	2	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	250	3	problem	problem	NN
work_ope6navdjndnnebvcd4hv3hj44	250	4	has	have	VBZ
work_ope6navdjndnnebvcd4hv3hj44	250	5	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	250	6	characteris-	characteris-	NN
work_ope6navdjndnnebvcd4hv3hj44	250	7	tics	tic	NNS
work_ope6navdjndnnebvcd4hv3hj44	250	8	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	250	9	make	make	VBP
work_ope6navdjndnnebvcd4hv3hj44	250	10	it	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	250	11	quite	quite	RB
work_ope6navdjndnnebvcd4hv3hj44	250	12	different	different	JJ
work_ope6navdjndnnebvcd4hv3hj44	250	13	from	from	IN
work_ope6navdjndnnebvcd4hv3hj44	250	14	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	250	15	generic	generic	JJ
work_ope6navdjndnnebvcd4hv3hj44	250	16	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	250	17	studied	study	VBN
work_ope6navdjndnnebvcd4hv3hj44	250	18	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	250	19	Baia	Baia	NNP
work_ope6navdjndnnebvcd4hv3hj44	250	20	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	250	21	2015	2015	CD
work_ope6navdjndnnebvcd4hv3hj44	250	22	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	250	23	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	250	24	which	which	WDT
work_ope6navdjndnnebvcd4hv3hj44	250	25	may	may	MD
work_ope6navdjndnnebvcd4hv3hj44	250	26	explain	explain	VB
work_ope6navdjndnnebvcd4hv3hj44	250	27	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	250	28	different	different	JJ
work_ope6navdjndnnebvcd4hv3hj44	250	29	conclusions	conclusion	NNS
work_ope6navdjndnnebvcd4hv3hj44	250	30	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	251	1	Namely	namely	RB
work_ope6navdjndnnebvcd4hv3hj44	251	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	251	3	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	251	4	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	251	5	addressed	address	VBD
work_ope6navdjndnnebvcd4hv3hj44	251	6	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	251	7	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	251	8	current	current	JJ
work_ope6navdjndnnebvcd4hv3hj44	251	9	paper	paper	NN
work_ope6navdjndnnebvcd4hv3hj44	251	10	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	251	11	based	base	VBN
work_ope6navdjndnnebvcd4hv3hj44	251	12	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	251	13	data	datum	NNS
work_ope6navdjndnnebvcd4hv3hj44	251	14	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	251	15	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	251	16	ordered	order	VBN
work_ope6navdjndnnebvcd4hv3hj44	251	17	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	251	18	time	time	NN
work_ope6navdjndnnebvcd4hv3hj44	251	19	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	251	20	time	time	NN
work_ope6navdjndnnebvcd4hv3hj44	251	21	series	series	NNP
work_ope6navdjndnnebvcd4hv3hj44	251	22	data	data	NNP
work_ope6navdjndnnebvcd4hv3hj44	251	23	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	251	24	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	251	25	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	251	26	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	251	27	frequency	frequency	NN
work_ope6navdjndnnebvcd4hv3hj44	251	28	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	251	29	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	251	30	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	251	31	rather	rather	RB
work_ope6navdjndnnebvcd4hv3hj44	251	32	imbalanced	imbalanced	JJ
work_ope6navdjndnnebvcd4hv3hj44	251	33	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	251	34	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	251	35	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	251	36	more	more	RBR
work_ope6navdjndnnebvcd4hv3hj44	251	37	important	important	JJ
work_ope6navdjndnnebvcd4hv3hj44	251	38	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	251	39	being	be	VBG
work_ope6navdjndnnebvcd4hv3hj44	251	40	rare	rare	JJ
work_ope6navdjndnnebvcd4hv3hj44	251	41	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	252	1	These	these	DT
work_ope6navdjndnnebvcd4hv3hj44	252	2	characteristics	characteristic	NNS
work_ope6navdjndnnebvcd4hv3hj44	252	3	raise	raise	VBP
work_ope6navdjndnnebvcd4hv3hj44	252	4	significant	significant	JJ
work_ope6navdjndnnebvcd4hv3hj44	252	5	challenges	challenge	NNS
work_ope6navdjndnnebvcd4hv3hj44	252	6	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	252	7	modeling	modeling	NN
work_ope6navdjndnnebvcd4hv3hj44	252	8	tools	tool	NNS
work_ope6navdjndnnebvcd4hv3hj44	252	9	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	252	10	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	252	11	even	even	RB
work_ope6navdjndnnebvcd4hv3hj44	252	12	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	252	13	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	252	14	use	use	NN
work_ope6navdjndnnebvcd4hv3hj44	252	15	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	252	16	techniques	technique	NNS
work_ope6navdjndnnebvcd4hv3hj44	252	17	developed	develop	VBN
work_ope6navdjndnnebvcd4hv3hj44	252	18	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	252	19	address	address	VB
work_ope6navdjndnnebvcd4hv3hj44	252	20	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	252	21	issues	issue	NNS
work_ope6navdjndnnebvcd4hv3hj44	252	22	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	252	23	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	252	24	were	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	252	25	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	252	26	able	able	JJ
work_ope6navdjndnnebvcd4hv3hj44	252	27	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	252	28	obtain	obtain	VB
work_ope6navdjndnnebvcd4hv3hj44	252	29	conclusive	conclusive	JJ
work_ope6navdjndnnebvcd4hv3hj44	252	30	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	252	31	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	253	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	253	2	summary	summary	NN
work_ope6navdjndnnebvcd4hv3hj44	253	3	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	253	4	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	253	5	conclusions	conclusion	NNS
work_ope6navdjndnnebvcd4hv3hj44	253	6	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	253	7	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	253	8	current	current	JJ
work_ope6navdjndnnebvcd4hv3hj44	253	9	paper	paper	NN
work_ope6navdjndnnebvcd4hv3hj44	253	10	seem	seem	VBP
work_ope6navdjndnnebvcd4hv3hj44	253	11	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	253	12	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	253	13	specific	specific	JJ
work_ope6navdjndnnebvcd4hv3hj44	253	14	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	253	15	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	253	16	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	253	17	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	253	18	setting	setting	NN
work_ope6navdjndnnebvcd4hv3hj44	253	19	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	254	1	For	for	IN
work_ope6navdjndnnebvcd4hv3hj44	254	2	more	more	JJR
work_ope6navdjndnnebvcd4hv3hj44	254	3	general	general	JJ
work_ope6navdjndnnebvcd4hv3hj44	254	4	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	254	5	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	254	6	existing	exist	VBG
work_ope6navdjndnnebvcd4hv3hj44	254	7	evidence	evidence	NN
work_ope6navdjndnnebvcd4hv3hj44	254	8	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	254	9	Baia	Baia	NNP
work_ope6navdjndnnebvcd4hv3hj44	254	10	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	254	11	2015	2015	CD
work_ope6navdjndnnebvcd4hv3hj44	254	12	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	254	13	seems	seem	VBZ
work_ope6navdjndnnebvcd4hv3hj44	254	14	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	254	15	indicate	indicate	VB
work_ope6navdjndnnebvcd4hv3hj44	254	16	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	254	17	there	there	EX
work_ope6navdjndnnebvcd4hv3hj44	254	18	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	254	19	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	254	20	advantage	advantage	NN
work_ope6navdjndnnebvcd4hv3hj44	254	21	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	254	22	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	254	23	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	254	24	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	254	25	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	254	26	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	255	1	Future	future	JJ
work_ope6navdjndnnebvcd4hv3hj44	255	2	work	work	NN
work_ope6navdjndnnebvcd4hv3hj44	255	3	should	should	MD
work_ope6navdjndnnebvcd4hv3hj44	255	4	try	try	VB
work_ope6navdjndnnebvcd4hv3hj44	255	5	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	255	6	explain	explain	VB
work_ope6navdjndnnebvcd4hv3hj44	255	7	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	255	8	reason	reason	NN
work_ope6navdjndnnebvcd4hv3hj44	255	9	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	255	10	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	255	11	different	different	JJ
work_ope6navdjndnnebvcd4hv3hj44	255	12	conclusion	conclusion	NN
work_ope6navdjndnnebvcd4hv3hj44	255	13	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	255	14	namely	namely	RB
work_ope6navdjndnnebvcd4hv3hj44	255	15	if	if	IN
work_ope6navdjndnnebvcd4hv3hj44	255	16	it	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	255	17	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	255	18	something	something	NN
work_ope6navdjndnnebvcd4hv3hj44	255	19	specific	specific	JJ
work_ope6navdjndnnebvcd4hv3hj44	255	20	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	255	21	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	255	22	domain	domain	NN
work_ope6navdjndnnebvcd4hv3hj44	255	23	or	or	CC
work_ope6navdjndnnebvcd4hv3hj44	255	24	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	255	25	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	255	26	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	255	27	its	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	255	28	characteristics	characteristic	NNS
work_ope6navdjndnnebvcd4hv3hj44	255	29	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	255	30	time‐dependent	time‐dependent	NN
work_ope6navdjndnnebvcd4hv3hj44	255	31	data	datum	NNS
work_ope6navdjndnnebvcd4hv3hj44	255	32	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	255	33	imbalanced	imbalanced	JJ
work_ope6navdjndnnebvcd4hv3hj44	255	34	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	255	35	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	255	36	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	256	1	6	6	CD
work_ope6navdjndnnebvcd4hv3hj44	256	2	|	|	CD
work_ope6navdjndnnebvcd4hv3hj44	256	3	RELATED	relate	VBN
work_ope6navdjndnnebvcd4hv3hj44	256	4	WORK	work	NN
work_ope6navdjndnnebvcd4hv3hj44	256	5	To	to	IN
work_ope6navdjndnnebvcd4hv3hj44	256	6	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	256	7	best	good	JJS
work_ope6navdjndnnebvcd4hv3hj44	256	8	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	256	9	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	256	10	knowledge	knowledge	NN
work_ope6navdjndnnebvcd4hv3hj44	256	11	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	256	12	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	256	13	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	256	14	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	256	15	first	first	JJ
work_ope6navdjndnnebvcd4hv3hj44	256	16	research	research	NN
work_ope6navdjndnnebvcd4hv3hj44	256	17	work	work	NN
work_ope6navdjndnnebvcd4hv3hj44	256	18	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	256	19	directly	directly	RB
work_ope6navdjndnnebvcd4hv3hj44	256	20	compare	compare	VB
work_ope6navdjndnnebvcd4hv3hj44	256	21	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	256	22	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	256	23	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	256	24	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	256	25	approaches	approach	NNS
work_ope6navdjndnnebvcd4hv3hj44	256	26	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	256	27	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	256	28	trad-	trad-	NN
work_ope6navdjndnnebvcd4hv3hj44	256	29	ing	ing	NNP
work_ope6navdjndnnebvcd4hv3hj44	256	30	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	257	1	Existing	exist	VBG
work_ope6navdjndnnebvcd4hv3hj44	257	2	work	work	NN
work_ope6navdjndnnebvcd4hv3hj44	257	3	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	257	4	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	257	5	area	area	NN
work_ope6navdjndnnebvcd4hv3hj44	257	6	essentially	essentially	RB
work_ope6navdjndnnebvcd4hv3hj44	257	7	uses	use	VBZ
work_ope6navdjndnnebvcd4hv3hj44	257	8	one	one	CD
work_ope6navdjndnnebvcd4hv3hj44	257	9	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	257	10	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	257	11	approaches	approach	NNS
work_ope6navdjndnnebvcd4hv3hj44	257	12	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	257	13	compares	compare	VBZ
work_ope6navdjndnnebvcd4hv3hj44	257	14	different	different	JJ
work_ope6navdjndnnebvcd4hv3hj44	257	15	variants	variant	NNS
work_ope6navdjndnnebvcd4hv3hj44	257	16	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	257	17	it	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	257	18	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	257	19	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	257	20	concrete	concrete	JJ
work_ope6navdjndnnebvcd4hv3hj44	257	21	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	257	22	data	datum	NNS
work_ope6navdjndnnebvcd4hv3hj44	257	23	sets	set	NNS
work_ope6navdjndnnebvcd4hv3hj44	257	24	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	258	1	Even	even	RB
work_ope6navdjndnnebvcd4hv3hj44	258	2	outside	outside	IN
work_ope6navdjndnnebvcd4hv3hj44	258	3	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	258	4	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	258	5	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	258	6	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	258	7	domain	domain	NN
work_ope6navdjndnnebvcd4hv3hj44	258	8	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	258	9	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	258	10	were	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	258	11	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	258	12	able	able	JJ
work_ope6navdjndnnebvcd4hv3hj44	258	13	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	258	14	find	find	VB
work_ope6navdjndnnebvcd4hv3hj44	258	15	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	258	16	comparison	comparison	NN
work_ope6navdjndnnebvcd4hv3hj44	258	17	between	between	IN
work_ope6navdjndnnebvcd4hv3hj44	258	18	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	258	19	two	two	CD
work_ope6navdjndnnebvcd4hv3hj44	258	20	plausible	plausible	JJ
work_ope6navdjndnnebvcd4hv3hj44	258	21	approaches	approach	NNS
work_ope6navdjndnnebvcd4hv3hj44	258	22	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	258	23	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	258	24	making	make	VBG
work_ope6navdjndnnebvcd4hv3hj44	258	25	based	base	VBN
work_ope6navdjndnnebvcd4hv3hj44	258	26	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	258	27	numeric	numeric	JJ
work_ope6navdjndnnebvcd4hv3hj44	258	28	forecasts	forecast	NNS
work_ope6navdjndnnebvcd4hv3hj44	258	29	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	259	1	Still	still	RB
work_ope6navdjndnnebvcd4hv3hj44	259	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	259	3	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	259	4	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	259	5	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	259	6	men-	men-	NN
work_ope6navdjndnnebvcd4hv3hj44	259	7	tioned	tione	VBN
work_ope6navdjndnnebvcd4hv3hj44	259	8	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	259	9	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	259	10	introduction	introduction	NN
work_ope6navdjndnnebvcd4hv3hj44	259	11	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	259	12	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	259	13	think	think	VBP
work_ope6navdjndnnebvcd4hv3hj44	259	14	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	259	15	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	259	16	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	259	17	common	common	JJ
work_ope6navdjndnnebvcd4hv3hj44	259	18	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	259	19	relevant	relevant	JJ
work_ope6navdjndnnebvcd4hv3hj44	259	20	setup	setup	NN
work_ope6navdjndnnebvcd4hv3hj44	259	21	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	259	22	many	many	JJ
work_ope6navdjndnnebvcd4hv3hj44	259	23	application	application	NN
work_ope6navdjndnnebvcd4hv3hj44	259	24	domains	domain	NNS
work_ope6navdjndnnebvcd4hv3hj44	259	25	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	260	1	Nevertheless	nevertheless	RB
work_ope6navdjndnnebvcd4hv3hj44	260	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	260	3	there	there	EX
work_ope6navdjndnnebvcd4hv3hj44	260	4	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	260	5	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	260	6	concepts	concept	NNS
work_ope6navdjndnnebvcd4hv3hj44	260	7	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	260	8	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	260	9	strongly	strongly	RB
work_ope6navdjndnnebvcd4hv3hj44	260	10	related	related	JJ
work_ope6navdjndnnebvcd4hv3hj44	260	11	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	260	12	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	260	13	problem	problem	NN
work_ope6navdjndnnebvcd4hv3hj44	260	14	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	260	15	making	make	VBG
work_ope6navdjndnnebvcd4hv3hj44	260	16	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	260	17	based	base	VBN
work_ope6navdjndnnebvcd4hv3hj44	260	18	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	260	19	numeric	numeric	JJ
work_ope6navdjndnnebvcd4hv3hj44	260	20	forecasts	forecast	NNS
work_ope6navdjndnnebvcd4hv3hj44	260	21	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	260	22	thus	thus	RB
work_ope6navdjndnnebvcd4hv3hj44	260	23	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	260	24	provide	provide	VBP
work_ope6navdjndnnebvcd4hv3hj44	260	25	here	here	RB
work_ope6navdjndnnebvcd4hv3hj44	260	26	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	260	27	short	short	JJ
work_ope6navdjndnnebvcd4hv3hj44	260	28	review	review	NN
work_ope6navdjndnnebvcd4hv3hj44	260	29	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	260	30	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	260	31	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	260	32	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	260	33	main	main	JJ
work_ope6navdjndnnebvcd4hv3hj44	260	34	works	work	NNS
work_ope6navdjndnnebvcd4hv3hj44	260	35	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	260	36	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	260	37	areas	area	NNS
work_ope6navdjndnnebvcd4hv3hj44	260	38	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	261	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	261	2	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	261	3	paper	paper	NN
work_ope6navdjndnnebvcd4hv3hj44	261	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	261	5	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	261	6	ultimate	ultimate	JJ
work_ope6navdjndnnebvcd4hv3hj44	261	7	goal	goal	NN
work_ope6navdjndnnebvcd4hv3hj44	261	8	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	261	9	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	261	10	predict	predict	VB
work_ope6navdjndnnebvcd4hv3hj44	261	11	an	an	DT
work_ope6navdjndnnebvcd4hv3hj44	261	12	action/	action/	NNP
work_ope6navdjndnnebvcd4hv3hj44	261	13	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	261	14	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	262	1	However	however	RB
work_ope6navdjndnnebvcd4hv3hj44	262	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	262	3	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	262	4	many	many	JJ
work_ope6navdjndnnebvcd4hv3hj44	262	5	application	application	NN
work_ope6navdjndnnebvcd4hv3hj44	262	6	domains	domain	NNS
work_ope6navdjndnnebvcd4hv3hj44	262	7	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	262	8	there	there	EX
work_ope6navdjndnnebvcd4hv3hj44	262	9	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	262	10	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	262	11	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	262	12	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	262	13	more	more	RBR
work_ope6navdjndnnebvcd4hv3hj44	262	14	important	important	JJ
work_ope6navdjndnnebvcd4hv3hj44	262	15	than	than	IN
work_ope6navdjndnnebvcd4hv3hj44	262	16	others	other	NNS
work_ope6navdjndnnebvcd4hv3hj44	262	17	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	262	18	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	262	19	there	there	EX
work_ope6navdjndnnebvcd4hv3hj44	262	20	may	may	MD
work_ope6navdjndnnebvcd4hv3hj44	262	21	exist	exist	VB
work_ope6navdjndnnebvcd4hv3hj44	262	22	information	information	NN
work_ope6navdjndnnebvcd4hv3hj44	262	23	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	262	24	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	262	25	costs	cost	NNS
work_ope6navdjndnnebvcd4hv3hj44	262	26	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	262	27	benefits	benefit	NNS
work_ope6navdjndnnebvcd4hv3hj44	262	28	associated	associate	VBN
work_ope6navdjndnnebvcd4hv3hj44	262	29	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	262	30	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	262	31	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	262	32	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	263	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	263	2	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	263	3	con-	con-	NN
work_ope6navdjndnnebvcd4hv3hj44	263	4	text	text	NN
work_ope6navdjndnnebvcd4hv3hj44	263	5	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	263	6	all	all	DT
work_ope6navdjndnnebvcd4hv3hj44	263	7	area	area	NN
work_ope6navdjndnnebvcd4hv3hj44	263	8	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	263	9	cost‐sensitive	cost‐sensitive	JJ
work_ope6navdjndnnebvcd4hv3hj44	263	10	learning	learning	NN
work_ope6navdjndnnebvcd4hv3hj44	263	11	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	263	12	Elkan	Elkan	NNP
work_ope6navdjndnnebvcd4hv3hj44	263	13	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	263	14	2001	2001	CD
work_ope6navdjndnnebvcd4hv3hj44	263	15	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	263	16	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	263	17	strongly	strongly	RB
work_ope6navdjndnnebvcd4hv3hj44	263	18	related	related	JJ
work_ope6navdjndnnebvcd4hv3hj44	263	19	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	263	20	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	263	21	target	target	NN
work_ope6navdjndnnebvcd4hv3hj44	263	22	applications	application	NNS
work_ope6navdjndnnebvcd4hv3hj44	263	23	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	264	1	Another	another	DT
work_ope6navdjndnnebvcd4hv3hj44	264	2	related	related	JJ
work_ope6navdjndnnebvcd4hv3hj44	264	3	problem	problem	NN
work_ope6navdjndnnebvcd4hv3hj44	264	4	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	264	5	that	that	DT
work_ope6navdjndnnebvcd4hv3hj44	264	6	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	264	7	imbal-	imbal-	NN
work_ope6navdjndnnebvcd4hv3hj44	264	8	anced	anced	JJ
work_ope6navdjndnnebvcd4hv3hj44	264	9	distributions	distribution	NNS
work_ope6navdjndnnebvcd4hv3hj44	264	10	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	264	11	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	264	12	target	target	NN
work_ope6navdjndnnebvcd4hv3hj44	264	13	variable	variable	JJ
work_ope6navdjndnnebvcd4hv3hj44	264	14	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	264	15	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	264	16	context	context	NN
work_ope6navdjndnnebvcd4hv3hj44	264	17	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	264	18	prediction	prediction	NN
work_ope6navdjndnnebvcd4hv3hj44	264	19	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	264	20	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	265	1	Both	both	DT
work_ope6navdjndnnebvcd4hv3hj44	265	2	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	265	3	two	two	CD
work_ope6navdjndnnebvcd4hv3hj44	265	4	problems	problem	NNS
work_ope6navdjndnnebvcd4hv3hj44	265	5	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	265	6	present	present	JJ
work_ope6navdjndnnebvcd4hv3hj44	265	7	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	265	8	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	265	9	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	265	10	prob-	prob-	NN
work_ope6navdjndnnebvcd4hv3hj44	265	11	lems	lem	NNS
work_ope6navdjndnnebvcd4hv3hj44	265	12	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	266	1	Branco	Branco	NNP
work_ope6navdjndnnebvcd4hv3hj44	266	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	266	3	Torgo	Torgo	NNP
work_ope6navdjndnnebvcd4hv3hj44	266	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	266	5	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	266	6	Ribeiro	Ribeiro	NNP
work_ope6navdjndnnebvcd4hv3hj44	266	7	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	266	8	2016	2016	CD
work_ope6navdjndnnebvcd4hv3hj44	266	9	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	266	10	present	present	VBP
work_ope6navdjndnnebvcd4hv3hj44	266	11	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	266	12	survey	survey	NN
work_ope6navdjndnnebvcd4hv3hj44	266	13	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	266	14	existing	exist	VBG
work_ope6navdjndnnebvcd4hv3hj44	266	15	techniques	technique	NNS
work_ope6navdjndnnebvcd4hv3hj44	266	16	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	266	17	handling	handle	VBG
work_ope6navdjndnnebvcd4hv3hj44	266	18	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	266	19	situations	situation	NNS
work_ope6navdjndnnebvcd4hv3hj44	266	20	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	266	21	imbalanced	imbalanced	JJ
work_ope6navdjndnnebvcd4hv3hj44	266	22	target	target	NN
work_ope6navdjndnnebvcd4hv3hj44	266	23	variables	variable	NNS
work_ope6navdjndnnebvcd4hv3hj44	266	24	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	267	1	Although	although	IN
work_ope6navdjndnnebvcd4hv3hj44	267	2	most	most	JJS
work_ope6navdjndnnebvcd4hv3hj44	267	3	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	267	4	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	267	5	existing	exist	VBG
work_ope6navdjndnnebvcd4hv3hj44	267	6	work	work	NN
work_ope6navdjndnnebvcd4hv3hj44	267	7	considers	consider	VBZ
work_ope6navdjndnnebvcd4hv3hj44	267	8	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	267	9	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	267	10	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	267	11	nominal	nominal	JJ
work_ope6navdjndnnebvcd4hv3hj44	267	12	target	target	NN
work_ope6navdjndnnebvcd4hv3hj44	267	13	variables	variable	NNS
work_ope6navdjndnnebvcd4hv3hj44	267	14	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	267	15	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	267	16	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	267	17	work	work	NN
work_ope6navdjndnnebvcd4hv3hj44	267	18	also	also	RB
work_ope6navdjndnnebvcd4hv3hj44	267	19	describes	describe	VBZ
work_ope6navdjndnnebvcd4hv3hj44	267	20	methods	method	NNS
work_ope6navdjndnnebvcd4hv3hj44	267	21	designed	design	VBN
work_ope6navdjndnnebvcd4hv3hj44	267	22	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	267	23	handle	handle	VB
work_ope6navdjndnnebvcd4hv3hj44	267	24	similar	similar	JJ
work_ope6navdjndnnebvcd4hv3hj44	267	25	problems	problem	NNS
work_ope6navdjndnnebvcd4hv3hj44	267	26	within	within	IN
work_ope6navdjndnnebvcd4hv3hj44	267	27	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	267	28	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	267	29	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	267	30	numeric	numeric	JJ
work_ope6navdjndnnebvcd4hv3hj44	267	31	target	target	NN
work_ope6navdjndnnebvcd4hv3hj44	267	32	variables	variable	NNS
work_ope6navdjndnnebvcd4hv3hj44	267	33	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	267	34	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	268	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	268	2	terms	term	NNS
work_ope6navdjndnnebvcd4hv3hj44	268	3	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	268	4	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	268	5	use	use	NN
work_ope6navdjndnnebvcd4hv3hj44	268	6	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	268	7	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	268	8	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	268	9	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	268	10	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	268	11	systems	system	NNS
work_ope6navdjndnnebvcd4hv3hj44	268	12	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	268	13	neu-	neu-	DT
work_ope6navdjndnnebvcd4hv3hj44	268	14	ral	ral	JJ
work_ope6navdjndnnebvcd4hv3hj44	268	15	networks	network	NNS
work_ope6navdjndnnebvcd4hv3hj44	268	16	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	268	17	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	268	18	shown	show	VBN
work_ope6navdjndnnebvcd4hv3hj44	268	19	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	268	20	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	268	21	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	268	22	promising	promising	JJ
work_ope6navdjndnnebvcd4hv3hj44	268	23	tool	tool	NN
work_ope6navdjndnnebvcd4hv3hj44	268	24	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	268	25	forecasting	forecasting	NN
work_ope6navdjndnnebvcd4hv3hj44	268	26	time	time	NN
work_ope6navdjndnnebvcd4hv3hj44	268	27	series	series	NNP
work_ope6navdjndnnebvcd4hv3hj44	268	28	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	268	29	namely	namely	RB
work_ope6navdjndnnebvcd4hv3hj44	268	30	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	268	31	prices	price	NNS
work_ope6navdjndnnebvcd4hv3hj44	268	32	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	268	33	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	268	34	assets	asset	NNS
work_ope6navdjndnnebvcd4hv3hj44	268	35	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	268	36	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	269	1	However	however	RB
work_ope6navdjndnnebvcd4hv3hj44	269	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	269	3	they	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	269	4	typically	typically	RB
work_ope6navdjndnnebvcd4hv3hj44	269	5	require	require	VBP
work_ope6navdjndnnebvcd4hv3hj44	269	6	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	269	7	large	large	JJ
work_ope6navdjndnnebvcd4hv3hj44	269	8	effort	effort	NN
work_ope6navdjndnnebvcd4hv3hj44	269	9	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	269	10	terms	term	NNS
work_ope6navdjndnnebvcd4hv3hj44	269	11	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	269	12	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	269	13	tuning	tuning	NN
work_ope6navdjndnnebvcd4hv3hj44	269	14	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	269	15	can	can	MD
work_ope6navdjndnnebvcd4hv3hj44	269	16	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	269	17	computation-	computation-	VBN
work_ope6navdjndnnebvcd4hv3hj44	269	18	ally	ally	NN
work_ope6navdjndnnebvcd4hv3hj44	269	19	demanding	demand	VBG
work_ope6navdjndnnebvcd4hv3hj44	269	20	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	270	1	Genay	Genay	NNP
work_ope6navdjndnnebvcd4hv3hj44	270	2	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	270	3	1999	1999	CD
work_ope6navdjndnnebvcd4hv3hj44	270	4	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	270	5	has	have	VBZ
work_ope6navdjndnnebvcd4hv3hj44	270	6	observed	observe	VBN
work_ope6navdjndnnebvcd4hv3hj44	270	7	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	270	8	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	270	9	simple	simple	JJ
work_ope6navdjndnnebvcd4hv3hj44	270	10	feed‐forward	feed‐forward	NNP
work_ope6navdjndnnebvcd4hv3hj44	270	11	network	network	NN
work_ope6navdjndnnebvcd4hv3hj44	270	12	fails	fail	VBZ
work_ope6navdjndnnebvcd4hv3hj44	270	13	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	270	14	statistically	statistically	RB
work_ope6navdjndnnebvcd4hv3hj44	270	15	outperform	outperform	VB
work_ope6navdjndnnebvcd4hv3hj44	270	16	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	270	17	random	random	JJ
work_ope6navdjndnnebvcd4hv3hj44	270	18	walk	walk	NN
work_ope6navdjndnnebvcd4hv3hj44	270	19	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	270	20	when	when	WRB
work_ope6navdjndnnebvcd4hv3hj44	270	21	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	270	22	input	input	NN
work_ope6navdjndnnebvcd4hv3hj44	270	23	variables	variable	NNS
work_ope6navdjndnnebvcd4hv3hj44	270	24	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	270	25	just	just	RB
work_ope6navdjndnnebvcd4hv3hj44	270	26	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	270	27	past	past	JJ
work_ope6navdjndnnebvcd4hv3hj44	270	28	returns	return	NNS
work_ope6navdjndnnebvcd4hv3hj44	270	29	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	271	1	However	however	RB
work_ope6navdjndnnebvcd4hv3hj44	271	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	271	3	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	271	4	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	271	5	simple	simple	JJ
work_ope6navdjndnnebvcd4hv3hj44	271	6	addition	addition	NN
work_ope6navdjndnnebvcd4hv3hj44	271	7	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	271	8	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	271	9	moving	move	VBG
work_ope6navdjndnnebvcd4hv3hj44	271	10	average	average	NN
work_ope6navdjndnnebvcd4hv3hj44	271	11	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	271	12	it	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	271	13	can	can	MD
work_ope6navdjndnnebvcd4hv3hj44	271	14	statistically	statistically	RB
work_ope6navdjndnnebvcd4hv3hj44	271	15	outperform	outperform	VB
work_ope6navdjndnnebvcd4hv3hj44	271	16	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	271	17	base-	base-	NN
work_ope6navdjndnnebvcd4hv3hj44	271	18	line	line	NN
work_ope6navdjndnnebvcd4hv3hj44	271	19	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	272	1	Ghazali	Ghazali	NNP
work_ope6navdjndnnebvcd4hv3hj44	272	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	272	3	Hussain	Hussain	NNP
work_ope6navdjndnnebvcd4hv3hj44	272	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	272	5	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	272	6	Liatsis	Liatsis	NNP
work_ope6navdjndnnebvcd4hv3hj44	272	7	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	272	8	2011	2011	CD
work_ope6navdjndnnebvcd4hv3hj44	272	9	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	272	10	;	;	:
work_ope6navdjndnnebvcd4hv3hj44	272	11	Shin	Shin	NNP
work_ope6navdjndnnebvcd4hv3hj44	272	12	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	272	13	Ghosh	Ghosh	NNP
work_ope6navdjndnnebvcd4hv3hj44	272	14	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	272	15	1995	1995	CD
work_ope6navdjndnnebvcd4hv3hj44	272	16	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	272	17	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	272	18	Sermpinis	Sermpinis	NNPS
work_ope6navdjndnnebvcd4hv3hj44	272	19	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	272	20	Dunis	Dunis	NNPS
work_ope6navdjndnnebvcd4hv3hj44	272	21	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	272	22	Laws	Laws	NNPS
work_ope6navdjndnnebvcd4hv3hj44	272	23	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	272	24	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	272	25	Stasinakis	Stasinakis	NNP
work_ope6navdjndnnebvcd4hv3hj44	272	26	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	272	27	2012	2012	CD
work_ope6navdjndnnebvcd4hv3hj44	272	28	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	272	29	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	272	30	proposed	propose	VBN
work_ope6navdjndnnebvcd4hv3hj44	272	31	variants	variant	NNS
work_ope6navdjndnnebvcd4hv3hj44	272	32	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	272	33	generalizations	generalization	NNS
work_ope6navdjndnnebvcd4hv3hj44	272	34	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	272	35	neural	neural	JJ
work_ope6navdjndnnebvcd4hv3hj44	272	36	networks	network	NNS
work_ope6navdjndnnebvcd4hv3hj44	272	37	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	272	38	present	present	VBP
work_ope6navdjndnnebvcd4hv3hj44	272	39	decent	decent	JJ
work_ope6navdjndnnebvcd4hv3hj44	272	40	improve-	improve-	NN
work_ope6navdjndnnebvcd4hv3hj44	272	41	ments	ment	NNS
work_ope6navdjndnnebvcd4hv3hj44	272	42	over	over	IN
work_ope6navdjndnnebvcd4hv3hj44	272	43	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	272	44	standard	standard	JJ
work_ope6navdjndnnebvcd4hv3hj44	272	45	versions	version	NNS
work_ope6navdjndnnebvcd4hv3hj44	272	46	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	272	47	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	272	48	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	272	49	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	273	1	Most	Most	JJS
work_ope6navdjndnnebvcd4hv3hj44	273	2	research	research	NN
work_ope6navdjndnnebvcd4hv3hj44	273	3	seems	seem	VBZ
work_ope6navdjndnnebvcd4hv3hj44	273	4	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	273	5	indicate	indicate	VB
work_ope6navdjndnnebvcd4hv3hj44	273	6	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	273	7	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	273	8	standard	standard	JJ
work_ope6navdjndnnebvcd4hv3hj44	273	9	versions	version	NNS
work_ope6navdjndnnebvcd4hv3hj44	273	10	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	273	11	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	273	12	neural	neural	JJ
work_ope6navdjndnnebvcd4hv3hj44	273	13	networks	network	NNS
work_ope6navdjndnnebvcd4hv3hj44	273	14	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	273	15	may	may	MD
work_ope6navdjndnnebvcd4hv3hj44	273	16	present	present	VB
work_ope6navdjndnnebvcd4hv3hj44	273	17	poor	poor	JJ
work_ope6navdjndnnebvcd4hv3hj44	273	18	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	273	19	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	273	20	yet	yet	CC
work_ope6navdjndnnebvcd4hv3hj44	273	21	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	273	22	small	small	JJ
work_ope6navdjndnnebvcd4hv3hj44	273	23	variations	variation	NNS
work_ope6navdjndnnebvcd4hv3hj44	273	24	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	273	25	terms	term	NNS
work_ope6navdjndnnebvcd4hv3hj44	273	26	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	273	27	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	273	28	structure	structure	NN
work_ope6navdjndnnebvcd4hv3hj44	273	29	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	273	30	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	273	31	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	273	32	may	may	MD
work_ope6navdjndnnebvcd4hv3hj44	273	33	greatly	greatly	RB
work_ope6navdjndnnebvcd4hv3hj44	273	34	improve	improve	VB
work_ope6navdjndnnebvcd4hv3hj44	273	35	their	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	273	36	performance	performance	NN
work_ope6navdjndnnebvcd4hv3hj44	273	37	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	274	1	Another	another	DT
work_ope6navdjndnnebvcd4hv3hj44	274	2	popular	popular	JJ
work_ope6navdjndnnebvcd4hv3hj44	274	3	modeling	modeling	NN
work_ope6navdjndnnebvcd4hv3hj44	274	4	technique	technique	NN
work_ope6navdjndnnebvcd4hv3hj44	274	5	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	274	6	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	274	7	area	area	NN
work_ope6navdjndnnebvcd4hv3hj44	274	8	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	274	9	k‐nearest	k‐nearest	NNP
work_ope6navdjndnnebvcd4hv3hj44	274	10	neighbours	neighbours	NNP
work_ope6navdjndnnebvcd4hv3hj44	274	11	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	274	12	KNN	KNN	NNP
work_ope6navdjndnnebvcd4hv3hj44	274	13	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	274	14	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	275	1	Genay	Genay	NNP
work_ope6navdjndnnebvcd4hv3hj44	275	2	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	275	3	1999	1999	CD
work_ope6navdjndnnebvcd4hv3hj44	275	4	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	275	5	has	have	VBZ
work_ope6navdjndnnebvcd4hv3hj44	275	6	observed	observe	VBN
work_ope6navdjndnnebvcd4hv3hj44	275	7	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	275	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	275	9	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	275	10	KNN	KNN	NNP
work_ope6navdjndnnebvcd4hv3hj44	275	11	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	275	12	statistically	statistically	RB
work_ope6navdjndnnebvcd4hv3hj44	275	13	outperforms	outperform	VBZ
work_ope6navdjndnnebvcd4hv3hj44	275	14	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	275	15	random	random	JJ
work_ope6navdjndnnebvcd4hv3hj44	275	16	walk	walk	NN
work_ope6navdjndnnebvcd4hv3hj44	275	17	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	275	18	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	275	19	merely	merely	RB
work_ope6navdjndnnebvcd4hv3hj44	275	20	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	275	21	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	275	22	past	past	JJ
work_ope6navdjndnnebvcd4hv3hj44	275	23	return	return	NN
work_ope6navdjndnnebvcd4hv3hj44	275	24	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	275	25	predictors	predictor	NNS
work_ope6navdjndnnebvcd4hv3hj44	275	26	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	275	27	unlike	unlike	IN
work_ope6navdjndnnebvcd4hv3hj44	275	28	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	275	29	feed‐forward	feed‐forward	NNP
work_ope6navdjndnnebvcd4hv3hj44	275	30	neural	neural	JJ
work_ope6navdjndnnebvcd4hv3hj44	275	31	network	network	NN
work_ope6navdjndnnebvcd4hv3hj44	275	32	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	276	1	Lee	Lee	NNP
work_ope6navdjndnnebvcd4hv3hj44	276	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	276	3	Wei	Wei	NNP
work_ope6navdjndnnebvcd4hv3hj44	276	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	276	5	Cheng	Cheng	NNP
work_ope6navdjndnnebvcd4hv3hj44	276	6	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	276	7	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	276	8	Yang	Yang	NNP
work_ope6navdjndnnebvcd4hv3hj44	276	9	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	276	10	2012	2012	CD
work_ope6navdjndnnebvcd4hv3hj44	276	11	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	276	12	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	276	13	used	use	VBN
work_ope6navdjndnnebvcd4hv3hj44	276	14	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	276	15	nearest‐neighbour‐based	nearest‐neighbour‐based	NNP
work_ope6navdjndnnebvcd4hv3hj44	276	16	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	276	17	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	276	18	churn	churn	JJ
work_ope6navdjndnnebvcd4hv3hj44	276	19	predictions	prediction	NNS
work_ope6navdjndnnebvcd4hv3hj44	276	20	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	277	1	Even	even	RB
work_ope6navdjndnnebvcd4hv3hj44	277	2	though	though	IN
work_ope6navdjndnnebvcd4hv3hj44	277	3	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	277	4	problem	problem	NN
work_ope6navdjndnnebvcd4hv3hj44	277	5	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	277	6	different	different	JJ
work_ope6navdjndnnebvcd4hv3hj44	277	7	from	from	IN
work_ope6navdjndnnebvcd4hv3hj44	277	8	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	277	9	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	277	10	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	277	11	there	there	EX
work_ope6navdjndnnebvcd4hv3hj44	277	12	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	277	13	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	277	14	similar-	similar-	JJ
work_ope6navdjndnnebvcd4hv3hj44	277	15	ities	itie	NNS
work_ope6navdjndnnebvcd4hv3hj44	277	16	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	278	1	Detecting	detect	VBG
work_ope6navdjndnnebvcd4hv3hj44	278	2	an	an	DT
work_ope6navdjndnnebvcd4hv3hj44	278	3	uncommon	uncommon	JJ
work_ope6navdjndnnebvcd4hv3hj44	278	4	event	event	NN
work_ope6navdjndnnebvcd4hv3hj44	278	5	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	278	6	soonest	soon	JJS
work_ope6navdjndnnebvcd4hv3hj44	278	7	possible	possible	JJ
work_ope6navdjndnnebvcd4hv3hj44	278	8	can	can	MD
work_ope6navdjndnnebvcd4hv3hj44	278	9	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	278	10	seen	see	VBN
work_ope6navdjndnnebvcd4hv3hj44	278	11	as	as	RB
work_ope6navdjndnnebvcd4hv3hj44	278	12	highly	highly	RB
work_ope6navdjndnnebvcd4hv3hj44	278	13	relevant	relevant	JJ
work_ope6navdjndnnebvcd4hv3hj44	278	14	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	278	15	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	278	16	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	278	17	that	that	RB
work_ope6navdjndnnebvcd4hv3hj44	278	18	is	is	RB
work_ope6navdjndnnebvcd4hv3hj44	278	19	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	278	20	detecting	detect	VBG
work_ope6navdjndnnebvcd4hv3hj44	278	21	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	278	22	buy	buy	VB
work_ope6navdjndnnebvcd4hv3hj44	278	23	or	or	CC
work_ope6navdjndnnebvcd4hv3hj44	278	24	sell	sell	VB
work_ope6navdjndnnebvcd4hv3hj44	278	25	signal	signal	NN
work_ope6navdjndnnebvcd4hv3hj44	278	26	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	278	27	earliest	early	JJS
work_ope6navdjndnnebvcd4hv3hj44	278	28	possible	possible	JJ
work_ope6navdjndnnebvcd4hv3hj44	278	29	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	278	30	obtain	obtain	VB
work_ope6navdjndnnebvcd4hv3hj44	278	31	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	278	32	maximum	maximum	JJ
work_ope6navdjndnnebvcd4hv3hj44	278	33	possible	possible	JJ
work_ope6navdjndnnebvcd4hv3hj44	278	34	profit	profit	NN
work_ope6navdjndnnebvcd4hv3hj44	278	35	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	279	1	Support	Support	NNP
work_ope6navdjndnnebvcd4hv3hj44	279	2	Vector	Vector	NNP
work_ope6navdjndnnebvcd4hv3hj44	279	3	Machines	Machines	NNPS
work_ope6navdjndnnebvcd4hv3hj44	279	4	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	279	5	SVM	SVM	NNP
work_ope6navdjndnnebvcd4hv3hj44	279	6	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	279	7	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	279	8	Multivariate	Multivariate	NNP
work_ope6navdjndnnebvcd4hv3hj44	279	9	Adaptive	Adaptive	NNP
work_ope6navdjndnnebvcd4hv3hj44	279	10	Regression	Regression	NNP
work_ope6navdjndnnebvcd4hv3hj44	279	11	Splines	Splines	NNPS
work_ope6navdjndnnebvcd4hv3hj44	279	12	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	279	13	MARS	MARS	NNP
work_ope6navdjndnnebvcd4hv3hj44	279	14	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	279	15	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	279	16	been	be	VBN
work_ope6navdjndnnebvcd4hv3hj44	279	17	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	279	18	subject	subject	NN
work_ope6navdjndnnebvcd4hv3hj44	279	19	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	279	20	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	279	21	study	study	NN
work_ope6navdjndnnebvcd4hv3hj44	279	22	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	279	23	Kao	Kao	NNP
work_ope6navdjndnnebvcd4hv3hj44	279	24	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	279	25	Chiu	Chiu	NNP
work_ope6navdjndnnebvcd4hv3hj44	279	26	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	279	27	Lu	Lu	NNP
work_ope6navdjndnnebvcd4hv3hj44	279	28	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	279	29	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	279	30	Chang	Chang	NNP
work_ope6navdjndnnebvcd4hv3hj44	279	31	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	279	32	2013	2013	CD
work_ope6navdjndnnebvcd4hv3hj44	279	33	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	279	34	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	280	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	280	2	author	author	NN
work_ope6navdjndnnebvcd4hv3hj44	280	3	also	also	RB
work_ope6navdjndnnebvcd4hv3hj44	280	4	tested	test	VBD
work_ope6navdjndnnebvcd4hv3hj44	280	5	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	280	6	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	280	7	incorporated	incorporate	VBN
work_ope6navdjndnnebvcd4hv3hj44	280	8	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	280	9	wavelets	wavelet	NNS
work_ope6navdjndnnebvcd4hv3hj44	280	10	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	280	11	where	where	WRB
work_ope6navdjndnnebvcd4hv3hj44	280	12	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	280	13	interesting	interesting	JJ
work_ope6navdjndnnebvcd4hv3hj44	280	14	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	280	15	were	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	280	16	obtained	obtain	VBN
work_ope6navdjndnnebvcd4hv3hj44	280	17	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	281	1	Furthermore	furthermore	RB
work_ope6navdjndnnebvcd4hv3hj44	281	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	281	3	Lu	Lu	NNP
work_ope6navdjndnnebvcd4hv3hj44	281	4	et	et	FW
work_ope6navdjndnnebvcd4hv3hj44	281	5	al	al	NNP
work_ope6navdjndnnebvcd4hv3hj44	281	6	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	282	1	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	282	2	2009	2009	CD
work_ope6navdjndnnebvcd4hv3hj44	282	3	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	282	4	has	have	VBZ
work_ope6navdjndnnebvcd4hv3hj44	282	5	studied	study	VBN
work_ope6navdjndnnebvcd4hv3hj44	282	6	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	282	7	combination	combination	NN
work_ope6navdjndnnebvcd4hv3hj44	282	8	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	282	9	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	282	10	independent	independent	JJ
work_ope6navdjndnnebvcd4hv3hj44	282	11	component	component	NN
work_ope6navdjndnnebvcd4hv3hj44	282	12	analysis	analysis	NN
work_ope6navdjndnnebvcd4hv3hj44	282	13	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	282	14	reduce	reduce	VB
work_ope6navdjndnnebvcd4hv3hj44	282	15	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	282	16	noise	noise	NN
work_ope6navdjndnnebvcd4hv3hj44	282	17	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	282	18	randomness	randomness	NN
work_ope6navdjndnnebvcd4hv3hj44	282	19	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	282	20	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	282	21	data	datum	NNS
work_ope6navdjndnnebvcd4hv3hj44	282	22	before	before	IN
work_ope6navdjndnnebvcd4hv3hj44	282	23	applying	apply	VBG
work_ope6navdjndnnebvcd4hv3hj44	282	24	standard	standard	JJ
work_ope6navdjndnnebvcd4hv3hj44	282	25	SVM	SVM	NNP
work_ope6navdjndnnebvcd4hv3hj44	282	26	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	282	27	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	282	28	has	have	VBZ
work_ope6navdjndnnebvcd4hv3hj44	282	29	observed	observe	VBN
work_ope6navdjndnnebvcd4hv3hj44	282	30	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	282	31	slight	slight	JJ
work_ope6navdjndnnebvcd4hv3hj44	282	32	improvement	improvement	NN
work_ope6navdjndnnebvcd4hv3hj44	282	33	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	282	34	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	282	35	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	282	36	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	283	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	283	2	terms	term	NNS
work_ope6navdjndnnebvcd4hv3hj44	283	3	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	283	4	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	283	5	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	283	6	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	283	7	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	283	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	283	9	context	context	NN
work_ope6navdjndnnebvcd4hv3hj44	283	10	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	283	11	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	283	12	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	283	13	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	283	14	there	there	EX
work_ope6navdjndnnebvcd4hv3hj44	283	15	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	283	16	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	283	17	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	283	18	many	many	JJ
work_ope6navdjndnnebvcd4hv3hj44	283	19	works	work	NNS
work_ope6navdjndnnebvcd4hv3hj44	283	20	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	284	1	Chang	Chang	NNP
work_ope6navdjndnnebvcd4hv3hj44	284	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	284	3	Fan	Fan	NNP
work_ope6navdjndnnebvcd4hv3hj44	284	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	284	5	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	284	6	Liu	Liu	NNP
work_ope6navdjndnnebvcd4hv3hj44	284	7	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	284	8	2009	2009	CD
work_ope6navdjndnnebvcd4hv3hj44	284	9	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	284	10	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	284	11	studied	study	VBN
work_ope6navdjndnnebvcd4hv3hj44	284	12	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	284	13	combination	combination	NN
work_ope6navdjndnnebvcd4hv3hj44	284	14	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	284	15	piecewise	piecewise	NN
work_ope6navdjndnnebvcd4hv3hj44	284	16	linear	linear	NN
work_ope6navdjndnnebvcd4hv3hj44	284	17	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	284	18	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	284	19	back‐	back‐	NNP
work_ope6navdjndnnebvcd4hv3hj44	284	20	propagation	propagation	NNP
work_ope6navdjndnnebvcd4hv3hj44	284	21	artificial	artificial	JJ
work_ope6navdjndnnebvcd4hv3hj44	284	22	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	284	23	neural	neural	NN
work_ope6navdjndnnebvcd4hv3hj44	284	24	networks	network	NNS
work_ope6navdjndnnebvcd4hv3hj44	284	25	PLR‐BPN	PLR‐BPN	NNP
work_ope6navdjndnnebvcd4hv3hj44	284	26	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	285	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	285	2	experimental	experimental	JJ
work_ope6navdjndnnebvcd4hv3hj44	285	3	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	285	4	were	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	285	5	interesting	interesting	JJ
work_ope6navdjndnnebvcd4hv3hj44	285	6	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	285	7	terms	term	NNS
work_ope6navdjndnnebvcd4hv3hj44	285	8	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	285	9	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	285	10	amount	amount	NN
work_ope6navdjndnnebvcd4hv3hj44	285	11	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	285	12	profit	profit	NN
work_ope6navdjndnnebvcd4hv3hj44	285	13	12	12	CD
work_ope6navdjndnnebvcd4hv3hj44	285	14	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	285	15	13	13	CD
work_ope6navdjndnnebvcd4hv3hj44	285	16	BAÍA	BAÍA	NNS
work_ope6navdjndnnebvcd4hv3hj44	285	17	AND	and	CC
work_ope6navdjndnnebvcd4hv3hj44	285	18	TORGO	TORGO	NNP
work_ope6navdjndnnebvcd4hv3hj44	285	19	obtained	obtain	VBD
work_ope6navdjndnnebvcd4hv3hj44	285	20	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	286	1	However	however	RB
work_ope6navdjndnnebvcd4hv3hj44	286	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	286	3	Luo	Luo	NNP
work_ope6navdjndnnebvcd4hv3hj44	286	4	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	286	5	Chen	Chen	NNP
work_ope6navdjndnnebvcd4hv3hj44	286	6	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	286	7	2013	2013	CD
work_ope6navdjndnnebvcd4hv3hj44	286	8	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	286	9	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	286	10	seen	see	VBN
work_ope6navdjndnnebvcd4hv3hj44	286	11	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	286	12	PLR‐BPN	PLR‐BPN	NNP
work_ope6navdjndnnebvcd4hv3hj44	286	13	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	286	14	outperformed	outperform	VBN
work_ope6navdjndnnebvcd4hv3hj44	286	15	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	286	16	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	286	17	combination	combination	NN
work_ope6navdjndnnebvcd4hv3hj44	286	18	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	286	19	PLR	PLR	NNP
work_ope6navdjndnnebvcd4hv3hj44	286	20	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	286	21	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	286	22	well‐known	well‐known	NNP
work_ope6navdjndnnebvcd4hv3hj44	286	23	Support	Support	NNP
work_ope6navdjndnnebvcd4hv3hj44	286	24	Vector	Vector	NNP
work_ope6navdjndnnebvcd4hv3hj44	286	25	Machine	Machine	NNP
work_ope6navdjndnnebvcd4hv3hj44	286	26	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	286	27	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	287	1	Ma	Ma	NNP
work_ope6navdjndnnebvcd4hv3hj44	287	2	et	et	FW
work_ope6navdjndnnebvcd4hv3hj44	287	3	al	al	NNP
work_ope6navdjndnnebvcd4hv3hj44	287	4	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	288	1	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	288	2	2012	2012	CD
work_ope6navdjndnnebvcd4hv3hj44	288	3	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	288	4	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	288	5	used	use	VBN
work_ope6navdjndnnebvcd4hv3hj44	288	6	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	288	7	matrices	matrix	NNS
work_ope6navdjndnnebvcd4hv3hj44	288	8	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	288	9	back‐propagation	back‐propagation	NN
work_ope6navdjndnnebvcd4hv3hj44	288	10	neural	neural	JJ
work_ope6navdjndnnebvcd4hv3hj44	288	11	networks	network	NNS
work_ope6navdjndnnebvcd4hv3hj44	288	12	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	289	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	289	2	several	several	JJ
work_ope6navdjndnnebvcd4hv3hj44	289	3	tasks	task	NNS
work_ope6navdjndnnebvcd4hv3hj44	289	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	289	5	an	an	DT
work_ope6navdjndnnebvcd4hv3hj44	289	6	increase	increase	NN
work_ope6navdjndnnebvcd4hv3hj44	289	7	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	289	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	289	9	utility	utility	NN
work_ope6navdjndnnebvcd4hv3hj44	289	10	score	score	NN
work_ope6navdjndnnebvcd4hv3hj44	289	11	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	289	12	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	289	13	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	289	14	came	come	VBD
work_ope6navdjndnnebvcd4hv3hj44	289	15	at	at	IN
work_ope6navdjndnnebvcd4hv3hj44	289	16	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	289	17	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	289	18	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	289	19	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	289	20	decrease	decrease	NN
work_ope6navdjndnnebvcd4hv3hj44	289	21	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	289	22	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	289	23	accuracy	accuracy	NN
work_ope6navdjndnnebvcd4hv3hj44	289	24	level	level	NN
work_ope6navdjndnnebvcd4hv3hj44	289	25	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	290	1	However	however	RB
work_ope6navdjndnnebvcd4hv3hj44	290	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	290	3	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	290	4	accuracy	accuracy	NN
work_ope6navdjndnnebvcd4hv3hj44	290	5	decrease	decrease	NN
work_ope6navdjndnnebvcd4hv3hj44	290	6	may	may	MD
work_ope6navdjndnnebvcd4hv3hj44	290	7	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	290	8	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	290	9	relevant	relevant	JJ
work_ope6navdjndnnebvcd4hv3hj44	290	10	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	290	11	finan-	finan-	JJ
work_ope6navdjndnnebvcd4hv3hj44	290	12	cial	cial	JJ
work_ope6navdjndnnebvcd4hv3hj44	290	13	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	290	14	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	290	15	where	where	WRB
work_ope6navdjndnnebvcd4hv3hj44	290	16	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	290	17	main	main	JJ
work_ope6navdjndnnebvcd4hv3hj44	290	18	goal	goal	NN
work_ope6navdjndnnebvcd4hv3hj44	290	19	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	290	20	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	290	21	avoid	avoid	VB
work_ope6navdjndnnebvcd4hv3hj44	290	22	serious	serious	JJ
work_ope6navdjndnnebvcd4hv3hj44	290	23	errors	error	NNS
work_ope6navdjndnnebvcd4hv3hj44	290	24	like	like	IN
work_ope6navdjndnnebvcd4hv3hj44	290	25	forecast-	forecast-	NNP
work_ope6navdjndnnebvcd4hv3hj44	290	26	ing	ing	NNP
work_ope6navdjndnnebvcd4hv3hj44	290	27	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	290	28	buy	buy	NN
work_ope6navdjndnnebvcd4hv3hj44	290	29	signal	signal	NN
work_ope6navdjndnnebvcd4hv3hj44	290	30	when	when	WRB
work_ope6navdjndnnebvcd4hv3hj44	290	31	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	290	32	should	should	MD
work_ope6navdjndnnebvcd4hv3hj44	290	33	sell	sell	VB
work_ope6navdjndnnebvcd4hv3hj44	290	34	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	290	35	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	290	36	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	290	37	type	type	NN
work_ope6navdjndnnebvcd4hv3hj44	290	38	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	290	39	errors	error	NNS
work_ope6navdjndnnebvcd4hv3hj44	290	40	may	may	MD
work_ope6navdjndnnebvcd4hv3hj44	290	41	have	have	VB
work_ope6navdjndnnebvcd4hv3hj44	290	42	very	very	RB
work_ope6navdjndnnebvcd4hv3hj44	290	43	serious	serious	JJ
work_ope6navdjndnnebvcd4hv3hj44	290	44	economic	economic	JJ
work_ope6navdjndnnebvcd4hv3hj44	290	45	impact	impact	NN
work_ope6navdjndnnebvcd4hv3hj44	290	46	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	291	1	Teixeira	Teixeira	NNP
work_ope6navdjndnnebvcd4hv3hj44	291	2	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	291	3	de	de	NNP
work_ope6navdjndnnebvcd4hv3hj44	291	4	Oliveira	Oliveira	NNP
work_ope6navdjndnnebvcd4hv3hj44	291	5	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	291	6	2010	2010	CD
work_ope6navdjndnnebvcd4hv3hj44	291	7	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	291	8	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	291	9	studied	study	VBN
work_ope6navdjndnnebvcd4hv3hj44	291	10	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	291	11	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	291	12	KNN	KNN	NNP
work_ope6navdjndnnebvcd4hv3hj44	291	13	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	291	14	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	291	15	also	also	RB
work_ope6navdjndnnebvcd4hv3hj44	291	16	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	291	17	combination	combination	NN
work_ope6navdjndnnebvcd4hv3hj44	291	18	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	291	19	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	291	20	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	291	21	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	291	22	indicators	indicator	NNS
work_ope6navdjndnnebvcd4hv3hj44	291	23	such	such	JJ
work_ope6navdjndnnebvcd4hv3hj44	291	24	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	291	25	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	291	26	RSI	RSI	NNP
work_ope6navdjndnnebvcd4hv3hj44	291	27	filter	filter	NN
work_ope6navdjndnnebvcd4hv3hj44	291	28	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	291	29	stop‐gain	stop‐gain	NNP
work_ope6navdjndnnebvcd4hv3hj44	291	30	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	291	31	stop‐loss	stop‐loss	NNP
work_ope6navdjndnnebvcd4hv3hj44	291	32	criteria	criterion	NNS
work_ope6navdjndnnebvcd4hv3hj44	291	33	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	292	1	All	all	PDT
work_ope6navdjndnnebvcd4hv3hj44	292	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	292	3	tested	test	VBN
work_ope6navdjndnnebvcd4hv3hj44	292	4	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	292	5	outperformed	outperform	VBD
work_ope6navdjndnnebvcd4hv3hj44	292	6	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	292	7	used	use	VBN
work_ope6navdjndnnebvcd4hv3hj44	292	8	benchmark	benchmark	NN
work_ope6navdjndnnebvcd4hv3hj44	292	9	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	292	10	par-	par-	XX
work_ope6navdjndnnebvcd4hv3hj44	292	11	ticularly	ticularly	RB
work_ope6navdjndnnebvcd4hv3hj44	292	12	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	292	13	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	292	14	combined	combine	VBN
work_ope6navdjndnnebvcd4hv3hj44	292	15	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	292	16	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	292	17	above	above	JJ
work_ope6navdjndnnebvcd4hv3hj44	292	18	indicators	indicator	NNS
work_ope6navdjndnnebvcd4hv3hj44	292	19	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	292	20	obtained	obtain	VBD
work_ope6navdjndnnebvcd4hv3hj44	292	21	an	an	DT
work_ope6navdjndnnebvcd4hv3hj44	292	22	overall	overall	JJ
work_ope6navdjndnnebvcd4hv3hj44	292	23	better	well	JJR
work_ope6navdjndnnebvcd4hv3hj44	292	24	performance	performance	NN
work_ope6navdjndnnebvcd4hv3hj44	292	25	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	293	1	Atsalakis	Atsalakis	NNP
work_ope6navdjndnnebvcd4hv3hj44	293	2	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	293	3	Valavanis	Valavanis	NNP
work_ope6navdjndnnebvcd4hv3hj44	293	4	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	293	5	2009	2009	CD
work_ope6navdjndnnebvcd4hv3hj44	293	6	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	293	7	contain	contain	VB
work_ope6navdjndnnebvcd4hv3hj44	293	8	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	293	9	very	very	RB
work_ope6navdjndnnebvcd4hv3hj44	293	10	detailed	detailed	JJ
work_ope6navdjndnnebvcd4hv3hj44	293	11	state	state	NN
work_ope6navdjndnnebvcd4hv3hj44	293	12	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	293	13	art	art	NN
work_ope6navdjndnnebvcd4hv3hj44	293	14	review	review	NN
work_ope6navdjndnnebvcd4hv3hj44	293	15	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	293	16	stock	stock	NN
work_ope6navdjndnnebvcd4hv3hj44	293	17	market	market	NN
work_ope6navdjndnnebvcd4hv3hj44	293	18	forecasting	forecasting	NN
work_ope6navdjndnnebvcd4hv3hj44	293	19	techniques	technique	NNS
work_ope6navdjndnnebvcd4hv3hj44	293	20	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	294	1	For	for	IN
work_ope6navdjndnnebvcd4hv3hj44	294	2	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	294	3	referred	refer	VBN
work_ope6navdjndnnebvcd4hv3hj44	294	4	work	work	NN
work_ope6navdjndnnebvcd4hv3hj44	294	5	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	294	6	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	294	7	authors	author	NNS
work_ope6navdjndnnebvcd4hv3hj44	294	8	list	list	VBP
work_ope6navdjndnnebvcd4hv3hj44	294	9	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	294	10	used	use	VBN
work_ope6navdjndnnebvcd4hv3hj44	294	11	data	data	NN
work_ope6navdjndnnebvcd4hv3hj44	294	12	sets	set	NNS
work_ope6navdjndnnebvcd4hv3hj44	294	13	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	294	14	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	294	15	chosen	choose	VBN
work_ope6navdjndnnebvcd4hv3hj44	294	16	input	input	NN
work_ope6navdjndnnebvcd4hv3hj44	294	17	variables	variable	NNS
work_ope6navdjndnnebvcd4hv3hj44	294	18	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	294	19	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	294	20	most	most	RBS
work_ope6navdjndnnebvcd4hv3hj44	294	21	importantly	importantly	RB
work_ope6navdjndnnebvcd4hv3hj44	294	22	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	294	23	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	294	24	summary	summary	NN
work_ope6navdjndnnebvcd4hv3hj44	294	25	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	294	26	all	all	PDT
work_ope6navdjndnnebvcd4hv3hj44	294	27	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	294	28	used	use	VBN
work_ope6navdjndnnebvcd4hv3hj44	294	29	modeling	modeling	NN
work_ope6navdjndnnebvcd4hv3hj44	294	30	techniques	technique	NNS
work_ope6navdjndnnebvcd4hv3hj44	294	31	as	as	RB
work_ope6navdjndnnebvcd4hv3hj44	294	32	well	well	RB
work_ope6navdjndnnebvcd4hv3hj44	294	33	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	294	34	which	which	WDT
work_ope6navdjndnnebvcd4hv3hj44	294	35	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	294	36	were	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	294	37	compared	compare	VBN
work_ope6navdjndnnebvcd4hv3hj44	294	38	against	against	IN
work_ope6navdjndnnebvcd4hv3hj44	294	39	each	each	DT
work_ope6navdjndnnebvcd4hv3hj44	294	40	other	other	JJ
work_ope6navdjndnnebvcd4hv3hj44	294	41	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	295	1	Informa-	Informa-	NNP
work_ope6navdjndnnebvcd4hv3hj44	295	2	tion	tion	NN
work_ope6navdjndnnebvcd4hv3hj44	295	3	regarding	regard	VBG
work_ope6navdjndnnebvcd4hv3hj44	295	4	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	295	5	usage	usage	NN
work_ope6navdjndnnebvcd4hv3hj44	295	6	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	295	7	pre‐processing	pre‐processing	NN
work_ope6navdjndnnebvcd4hv3hj44	295	8	techniques	technique	NNS
work_ope6navdjndnnebvcd4hv3hj44	295	9	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	295	10	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	295	11	training	training	NN
work_ope6navdjndnnebvcd4hv3hj44	295	12	method	method	NN
work_ope6navdjndnnebvcd4hv3hj44	295	13	was	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	295	14	also	also	RB
work_ope6navdjndnnebvcd4hv3hj44	295	15	given	give	VBN
work_ope6navdjndnnebvcd4hv3hj44	295	16	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	296	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	296	2	summary	summary	NN
work_ope6navdjndnnebvcd4hv3hj44	296	3	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	296	4	although	although	IN
work_ope6navdjndnnebvcd4hv3hj44	296	5	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	296	6	review	review	NN
work_ope6navdjndnnebvcd4hv3hj44	296	7	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	296	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	296	9	related	related	JJ
work_ope6navdjndnnebvcd4hv3hj44	296	10	literature	literature	NN
work_ope6navdjndnnebvcd4hv3hj44	296	11	has	have	VBZ
work_ope6navdjndnnebvcd4hv3hj44	296	12	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	296	13	found	find	VBN
work_ope6navdjndnnebvcd4hv3hj44	296	14	any	any	DT
work_ope6navdjndnnebvcd4hv3hj44	296	15	work	work	NN
work_ope6navdjndnnebvcd4hv3hj44	296	16	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	296	17	objectives	objective	NNS
work_ope6navdjndnnebvcd4hv3hj44	296	18	similar	similar	JJ
work_ope6navdjndnnebvcd4hv3hj44	296	19	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	296	20	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	296	21	current	current	JJ
work_ope6navdjndnnebvcd4hv3hj44	296	22	paper	paper	NN
work_ope6navdjndnnebvcd4hv3hj44	296	23	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	296	24	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	296	25	were	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	296	26	able	able	JJ
work_ope6navdjndnnebvcd4hv3hj44	296	27	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	296	28	observe	observe	VB
work_ope6navdjndnnebvcd4hv3hj44	296	29	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	296	30	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	296	31	most	most	RBS
work_ope6navdjndnnebvcd4hv3hj44	296	32	frequent	frequent	JJ
work_ope6navdjndnnebvcd4hv3hj44	296	33	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	296	34	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	296	35	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	296	36	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	296	37	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	296	38	based	base	VBN
work_ope6navdjndnnebvcd4hv3hj44	296	39	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	296	40	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	296	41	approaches	approach	NNS
work_ope6navdjndnnebvcd4hv3hj44	296	42	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	297	1	Our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	297	2	work	work	NN
work_ope6navdjndnnebvcd4hv3hj44	297	3	has	have	VBZ
work_ope6navdjndnnebvcd4hv3hj44	297	4	shown	show	VBN
work_ope6navdjndnnebvcd4hv3hj44	297	5	that	that	DT
work_ope6navdjndnnebvcd4hv3hj44	297	6	classifica-	classifica-	NNP
work_ope6navdjndnnebvcd4hv3hj44	297	7	tion	tion	NN
work_ope6navdjndnnebvcd4hv3hj44	297	8	approaches	approach	NNS
work_ope6navdjndnnebvcd4hv3hj44	297	9	should	should	MD
work_ope6navdjndnnebvcd4hv3hj44	297	10	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	297	11	given	give	VBN
work_ope6navdjndnnebvcd4hv3hj44	297	12	more	more	JJR
work_ope6navdjndnnebvcd4hv3hj44	297	13	importance	importance	NN
work_ope6navdjndnnebvcd4hv3hj44	297	14	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	297	15	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	297	16	research	research	NN
work_ope6navdjndnnebvcd4hv3hj44	297	17	community	community	NN
work_ope6navdjndnnebvcd4hv3hj44	297	18	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	297	19	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	297	20	area	area	NN
work_ope6navdjndnnebvcd4hv3hj44	297	21	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	298	1	7	7	CD
work_ope6navdjndnnebvcd4hv3hj44	298	2	|	|	CD
work_ope6navdjndnnebvcd4hv3hj44	298	3	CONCLUSIONS	conclusion	NNS
work_ope6navdjndnnebvcd4hv3hj44	298	4	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	298	5	paper	paper	NN
work_ope6navdjndnnebvcd4hv3hj44	298	6	presents	present	VBZ
work_ope6navdjndnnebvcd4hv3hj44	298	7	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	298	8	comparative	comparative	JJ
work_ope6navdjndnnebvcd4hv3hj44	298	9	study	study	NN
work_ope6navdjndnnebvcd4hv3hj44	298	10	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	298	11	two	two	CD
work_ope6navdjndnnebvcd4hv3hj44	298	12	different	different	JJ
work_ope6navdjndnnebvcd4hv3hj44	298	13	approaches	approach	NNS
work_ope6navdjndnnebvcd4hv3hj44	298	14	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	298	15	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	298	16	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	298	17	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	298	18	based	base	VBN
work_ope6navdjndnnebvcd4hv3hj44	298	19	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	298	20	forecasting	forecasting	NN
work_ope6navdjndnnebvcd4hv3hj44	298	21	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	298	22	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	299	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	299	2	first	first	JJ
work_ope6navdjndnnebvcd4hv3hj44	299	3	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	299	4	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	299	5	more	more	RBR
work_ope6navdjndnnebvcd4hv3hj44	299	6	conventional	conventional	JJ
work_ope6navdjndnnebvcd4hv3hj44	299	7	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	299	8	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	299	9	uses	use	VBZ
work_ope6navdjndnnebvcd4hv3hj44	299	10	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	299	11	tools	tool	NNS
work_ope6navdjndnnebvcd4hv3hj44	299	12	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	299	13	forecast	forecast	VB
work_ope6navdjndnnebvcd4hv3hj44	299	14	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	299	15	future	future	JJ
work_ope6navdjndnnebvcd4hv3hj44	299	16	evolution	evolution	NN
work_ope6navdjndnnebvcd4hv3hj44	299	17	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	299	18	prices	price	NNS
work_ope6navdjndnnebvcd4hv3hj44	299	19	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	299	20	then	then	RB
work_ope6navdjndnnebvcd4hv3hj44	299	21	uses	use	VBZ
work_ope6navdjndnnebvcd4hv3hj44	299	22	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	299	23	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	299	24	rule	rule	NN
work_ope6navdjndnnebvcd4hv3hj44	299	25	based	base	VBN
work_ope6navdjndnnebvcd4hv3hj44	299	26	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	299	27	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	299	28	predictions	prediction	NNS
work_ope6navdjndnnebvcd4hv3hj44	299	29	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	299	30	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	299	31	choose	choose	VB
work_ope6navdjndnnebvcd4hv3hj44	299	32	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	299	33	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	299	34	action	action	NN
work_ope6navdjndnnebvcd4hv3hj44	299	35	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	300	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	300	2	second	second	JJ
work_ope6navdjndnnebvcd4hv3hj44	300	3	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	300	4	tries	try	VBZ
work_ope6navdjndnnebvcd4hv3hj44	300	5	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	300	6	directly	directly	RB
work_ope6navdjndnnebvcd4hv3hj44	300	7	forecast	forecast	VB
work_ope6navdjndnnebvcd4hv3hj44	300	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	300	9	“	"	``
work_ope6navdjndnnebvcd4hv3hj44	300	10	correct	correct	JJ
work_ope6navdjndnnebvcd4hv3hj44	300	11	”	"	''
work_ope6navdjndnnebvcd4hv3hj44	300	12	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	300	13	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	300	14	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	301	1	Our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	301	2	study	study	NN
work_ope6navdjndnnebvcd4hv3hj44	301	3	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	301	4	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	301	5	specific	specific	JJ
work_ope6navdjndnnebvcd4hv3hj44	301	6	instance	instance	NN
work_ope6navdjndnnebvcd4hv3hj44	301	7	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	301	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	301	9	more	more	RBR
work_ope6navdjndnnebvcd4hv3hj44	301	10	general	general	JJ
work_ope6navdjndnnebvcd4hv3hj44	301	11	problem	problem	NN
work_ope6navdjndnnebvcd4hv3hj44	301	12	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	301	13	making	make	VBG
work_ope6navdjndnnebvcd4hv3hj44	301	14	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	301	15	based	base	VBN
work_ope6navdjndnnebvcd4hv3hj44	301	16	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	301	17	numerical	numerical	JJ
work_ope6navdjndnnebvcd4hv3hj44	301	18	forecasts	forecast	NNS
work_ope6navdjndnnebvcd4hv3hj44	301	19	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	302	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	302	2	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	302	3	paper	paper	NN
work_ope6navdjndnnebvcd4hv3hj44	302	4	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	302	5	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	302	6	focused	focus	VBN
work_ope6navdjndnnebvcd4hv3hj44	302	7	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	302	8	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	302	9	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	302	10	decisions	decision	NNS
work_ope6navdjndnnebvcd4hv3hj44	302	11	because	because	IN
work_ope6navdjndnnebvcd4hv3hj44	302	12	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	302	13	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	302	14	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	302	15	domain	domain	NN
work_ope6navdjndnnebvcd4hv3hj44	302	16	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	302	17	requires	require	VBZ
work_ope6navdjndnnebvcd4hv3hj44	302	18	specific	specific	JJ
work_ope6navdjndnnebvcd4hv3hj44	302	19	trade‐offs	trade‐off	NNS
work_ope6navdjndnnebvcd4hv3hj44	302	20	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	302	21	terms	term	NNS
work_ope6navdjndnnebvcd4hv3hj44	302	22	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	302	23	economic	economic	JJ
work_ope6navdjndnnebvcd4hv3hj44	302	24	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	302	25	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	303	1	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	303	2	means	mean	VBZ
work_ope6navdjndnnebvcd4hv3hj44	303	3	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	303	4	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	303	5	conclusions	conclusion	NNS
work_ope6navdjndnnebvcd4hv3hj44	303	6	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	303	7	specific	specific	JJ
work_ope6navdjndnnebvcd4hv3hj44	303	8	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	303	9	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	303	10	area	area	NN
work_ope6navdjndnnebvcd4hv3hj44	303	11	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	303	12	it	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	303	13	remains	remain	VBZ
work_ope6navdjndnnebvcd4hv3hj44	303	14	an	an	DT
work_ope6navdjndnnebvcd4hv3hj44	303	15	open	open	JJ
work_ope6navdjndnnebvcd4hv3hj44	303	16	question	question	NN
work_ope6navdjndnnebvcd4hv3hj44	303	17	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	303	18	future	future	JJ
work_ope6navdjndnnebvcd4hv3hj44	303	19	research	research	NN
work_ope6navdjndnnebvcd4hv3hj44	303	20	whether	whether	IN
work_ope6navdjndnnebvcd4hv3hj44	303	21	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	303	22	same	same	JJ
work_ope6navdjndnnebvcd4hv3hj44	303	23	conclusions	conclusion	NNS
work_ope6navdjndnnebvcd4hv3hj44	303	24	can	can	MD
work_ope6navdjndnnebvcd4hv3hj44	303	25	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	303	26	drawn	draw	VBN
work_ope6navdjndnnebvcd4hv3hj44	303	27	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	303	28	other	other	JJ
work_ope6navdjndnnebvcd4hv3hj44	303	29	application	application	NN
work_ope6navdjndnnebvcd4hv3hj44	303	30	domains	domain	NNS
work_ope6navdjndnnebvcd4hv3hj44	303	31	where	where	WRB
work_ope6navdjndnnebvcd4hv3hj44	303	32	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	303	33	same	same	JJ
work_ope6navdjndnnebvcd4hv3hj44	303	34	two	two	CD
work_ope6navdjndnnebvcd4hv3hj44	303	35	approaches	approach	NNS
work_ope6navdjndnnebvcd4hv3hj44	303	36	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	303	37	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	303	38	making	make	VBG
work_ope6navdjndnnebvcd4hv3hj44	303	39	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	303	40	plausible	plausible	JJ
work_ope6navdjndnnebvcd4hv3hj44	303	41	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	304	1	Still	still	RB
work_ope6navdjndnnebvcd4hv3hj44	304	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	304	3	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	304	4	initial	initial	JJ
work_ope6navdjndnnebvcd4hv3hj44	304	5	experiments	experiment	NNS
work_ope6navdjndnnebvcd4hv3hj44	304	6	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	304	7	Baia	Baia	NNP
work_ope6navdjndnnebvcd4hv3hj44	304	8	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	304	9	2015	2015	CD
work_ope6navdjndnnebvcd4hv3hj44	304	10	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	304	11	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	304	12	other	other	JJ
work_ope6navdjndnnebvcd4hv3hj44	304	13	types	type	NNS
work_ope6navdjndnnebvcd4hv3hj44	304	14	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	304	15	domains	domain	NNS
work_ope6navdjndnnebvcd4hv3hj44	304	16	provide	provide	VBP
work_ope6navdjndnnebvcd4hv3hj44	304	17	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	304	18	evidence	evidence	NN
work_ope6navdjndnnebvcd4hv3hj44	304	19	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	304	20	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	304	21	specificity	specificity	NN
work_ope6navdjndnnebvcd4hv3hj44	304	22	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	304	23	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	304	24	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	304	25	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	304	26	making	making	NN
work_ope6navdjndnnebvcd4hv3hj44	304	27	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	304	28	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	304	29	addressed	address	VBN
work_ope6navdjndnnebvcd4hv3hj44	304	30	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	304	31	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	304	32	current	current	JJ
work_ope6navdjndnnebvcd4hv3hj44	304	33	paper	paper	NN
work_ope6navdjndnnebvcd4hv3hj44	304	34	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	305	1	Overall	overall	RB
work_ope6navdjndnnebvcd4hv3hj44	305	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	305	3	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	305	4	main	main	JJ
work_ope6navdjndnnebvcd4hv3hj44	305	5	conclusion	conclusion	NN
work_ope6navdjndnnebvcd4hv3hj44	305	6	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	305	7	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	305	8	study	study	NN
work_ope6navdjndnnebvcd4hv3hj44	305	9	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	305	10	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	305	11	described	describe	VBN
work_ope6navdjndnnebvcd4hv3hj44	305	12	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	305	13	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	305	14	paper	paper	NN
work_ope6navdjndnnebvcd4hv3hj44	305	15	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	305	16	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	305	17	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	305	18	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	305	19	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	305	20	specific	specific	JJ
work_ope6navdjndnnebvcd4hv3hj44	305	21	application	application	NN
work_ope6navdjndnnebvcd4hv3hj44	305	22	domain	domain	NN
work_ope6navdjndnnebvcd4hv3hj44	305	23	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	305	24	there	there	EX
work_ope6navdjndnnebvcd4hv3hj44	305	25	seems	seem	VBZ
work_ope6navdjndnnebvcd4hv3hj44	305	26	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	305	27	be	be	VB
work_ope6navdjndnnebvcd4hv3hj44	305	28	no	no	DT
work_ope6navdjndnnebvcd4hv3hj44	305	29	statistically	statistically	RB
work_ope6navdjndnnebvcd4hv3hj44	305	30	significant	significant	JJ
work_ope6navdjndnnebvcd4hv3hj44	305	31	difference	difference	NN
work_ope6navdjndnnebvcd4hv3hj44	305	32	between	between	IN
work_ope6navdjndnnebvcd4hv3hj44	305	33	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	305	34	two	two	CD
work_ope6navdjndnnebvcd4hv3hj44	305	35	approaches	approach	NNS
work_ope6navdjndnnebvcd4hv3hj44	305	36	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	305	37	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	305	38	making	making	NN
work_ope6navdjndnnebvcd4hv3hj44	305	39	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	306	1	Given	give	VBN
work_ope6navdjndnnebvcd4hv3hj44	306	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	306	3	large	large	JJ
work_ope6navdjndnnebvcd4hv3hj44	306	4	set	set	NN
work_ope6navdjndnnebvcd4hv3hj44	306	5	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	306	6	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	306	7	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	306	8	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	306	9	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	306	10	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	306	11	were	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	306	12	considered	consider	VBN
work_ope6navdjndnnebvcd4hv3hj44	306	13	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	306	14	as	as	RB
work_ope6navdjndnnebvcd4hv3hj44	306	15	well	well	RB
work_ope6navdjndnnebvcd4hv3hj44	306	16	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	306	17	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	306	18	different	different	JJ
work_ope6navdjndnnebvcd4hv3hj44	306	19	data	data	NN
work_ope6navdjndnnebvcd4hv3hj44	306	20	sets	set	NNS
work_ope6navdjndnnebvcd4hv3hj44	306	21	involved	involve	VBN
work_ope6navdjndnnebvcd4hv3hj44	306	22	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	306	23	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	306	24	study	study	NN
work_ope6navdjndnnebvcd4hv3hj44	306	25	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	306	26	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	306	27	claim	claim	VBP
work_ope6navdjndnnebvcd4hv3hj44	306	28	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	306	29	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	306	30	conclusion	conclusion	NN
work_ope6navdjndnnebvcd4hv3hj44	306	31	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	306	32	supported	support	VBN
work_ope6navdjndnnebvcd4hv3hj44	306	33	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	306	34	significant	significant	JJ
work_ope6navdjndnnebvcd4hv3hj44	306	35	experimental	experimental	JJ
work_ope6navdjndnnebvcd4hv3hj44	306	36	evidence	evidence	NN
work_ope6navdjndnnebvcd4hv3hj44	306	37	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	307	1	Financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	307	2	forecasting	forecasting	NN
work_ope6navdjndnnebvcd4hv3hj44	307	3	has	have	VBZ
work_ope6navdjndnnebvcd4hv3hj44	307	4	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	307	5	particularities	particularity	NNS
work_ope6navdjndnnebvcd4hv3hj44	307	6	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	307	7	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	307	8	challenging	challenge	VBG
work_ope6navdjndnnebvcd4hv3hj44	307	9	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	307	10	most	most	RBS
work_ope6navdjndnnebvcd4hv3hj44	307	11	modeling	modeling	NN
work_ope6navdjndnnebvcd4hv3hj44	307	12	techniques	technique	NNS
work_ope6navdjndnnebvcd4hv3hj44	307	13	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	308	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	308	2	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	308	3	study	study	NN
work_ope6navdjndnnebvcd4hv3hj44	308	4	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	308	5	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	308	6	considered	consider	VBN
work_ope6navdjndnnebvcd4hv3hj44	308	7	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	308	8	hypothesis	hypothesis	NN
work_ope6navdjndnnebvcd4hv3hj44	308	9	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	308	10	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	308	11	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	308	12	existing	exist	VBG
work_ope6navdjndnnebvcd4hv3hj44	308	13	techniques	technique	NNS
work_ope6navdjndnnebvcd4hv3hj44	308	14	that	that	WDT
work_ope6navdjndnnebvcd4hv3hj44	308	15	were	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	308	16	developed	develop	VBN
work_ope6navdjndnnebvcd4hv3hj44	308	17	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	308	18	address	address	VB
work_ope6navdjndnnebvcd4hv3hj44	308	19	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	308	20	type	type	NN
work_ope6navdjndnnebvcd4hv3hj44	308	21	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	308	22	challenges	challenge	NNS
work_ope6navdjndnnebvcd4hv3hj44	308	23	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	309	1	Another	another	DT
work_ope6navdjndnnebvcd4hv3hj44	309	2	contribution	contribution	NN
work_ope6navdjndnnebvcd4hv3hj44	309	3	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	309	4	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	309	5	paper	paper	NN
work_ope6navdjndnnebvcd4hv3hj44	309	6	involves	involve	VBZ
work_ope6navdjndnnebvcd4hv3hj44	309	7	testing	test	VBG
work_ope6navdjndnnebvcd4hv3hj44	309	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	309	9	applicability	applicability	NN
work_ope6navdjndnnebvcd4hv3hj44	309	10	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	309	11	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	309	12	solutions	solution	NNS
work_ope6navdjndnnebvcd4hv3hj44	309	13	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	309	14	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	309	15	context	context	NN
work_ope6navdjndnnebvcd4hv3hj44	309	16	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	309	17	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	309	18	forecasting	forecasting	NN
work_ope6navdjndnnebvcd4hv3hj44	309	19	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	310	1	Regarding	regard	VBG
work_ope6navdjndnnebvcd4hv3hj44	310	2	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	310	3	problem	problem	NN
work_ope6navdjndnnebvcd4hv3hj44	310	4	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	310	5	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	310	6	imbalance	imbalance	NN
work_ope6navdjndnnebvcd4hv3hj44	310	7	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	310	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	310	9	distribution	distribution	NN
work_ope6navdjndnnebvcd4hv3hj44	310	10	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	310	11	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	310	12	target	target	NN
work_ope6navdjndnnebvcd4hv3hj44	310	13	variable	variable	JJ
work_ope6navdjndnnebvcd4hv3hj44	310	14	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	310	15	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	310	16	considered	consider	VBN
work_ope6navdjndnnebvcd4hv3hj44	310	17	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	310	18	application	application	NN
work_ope6navdjndnnebvcd4hv3hj44	310	19	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	310	20	resampling	resample	VBG
work_ope6navdjndnnebvcd4hv3hj44	310	21	strategies	strategy	NNS
work_ope6navdjndnnebvcd4hv3hj44	310	22	both	both	DT
work_ope6navdjndnnebvcd4hv3hj44	310	23	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	310	24	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	310	25	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	310	26	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	310	27	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	310	28	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	311	1	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	311	2	technique	technique	NN
work_ope6navdjndnnebvcd4hv3hj44	311	3	has	have	VBZ
work_ope6navdjndnnebvcd4hv3hj44	311	4	been	be	VBN
work_ope6navdjndnnebvcd4hv3hj44	311	5	applied	apply	VBN
work_ope6navdjndnnebvcd4hv3hj44	311	6	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	311	7	success	success	NN
work_ope6navdjndnnebvcd4hv3hj44	311	8	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	311	9	many	many	JJ
work_ope6navdjndnnebvcd4hv3hj44	311	10	application	application	NN
work_ope6navdjndnnebvcd4hv3hj44	311	11	domains	domain	NNS
work_ope6navdjndnnebvcd4hv3hj44	311	12	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	312	1	Our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	312	2	experiments	experiment	NNS
work_ope6navdjndnnebvcd4hv3hj44	312	3	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	312	4	shown	show	VBN
work_ope6navdjndnnebvcd4hv3hj44	312	5	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	312	6	although	although	IN
work_ope6navdjndnnebvcd4hv3hj44	312	7	resampling	resample	VBG
work_ope6navdjndnnebvcd4hv3hj44	312	8	increases	increase	NNS
work_ope6navdjndnnebvcd4hv3hj44	312	9	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	312	10	ability	ability	NN
work_ope6navdjndnnebvcd4hv3hj44	312	11	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	312	12	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	312	13	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	312	14	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	312	15	generate	generate	VB
work_ope6navdjndnnebvcd4hv3hj44	312	16	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	312	17	signals	signal	NNS
work_ope6navdjndnnebvcd4hv3hj44	312	18	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	312	19	thus	thus	RB
work_ope6navdjndnnebvcd4hv3hj44	312	20	increasing	increase	VBG
work_ope6navdjndnnebvcd4hv3hj44	312	21	their	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	312	22	recall	recall	NN
work_ope6navdjndnnebvcd4hv3hj44	312	23	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	312	24	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	312	25	it	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	312	26	also	also	RB
work_ope6navdjndnnebvcd4hv3hj44	312	27	brings	bring	VBZ
work_ope6navdjndnnebvcd4hv3hj44	312	28	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	312	29	significant	significant	JJ
work_ope6navdjndnnebvcd4hv3hj44	312	30	amount	amount	NN
work_ope6navdjndnnebvcd4hv3hj44	312	31	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	312	32	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	312	33	risk	risk	NN
work_ope6navdjndnnebvcd4hv3hj44	312	34	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	312	35	several	several	JJ
work_ope6navdjndnnebvcd4hv3hj44	312	36	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	312	37	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	312	38	signals	signal	NNS
work_ope6navdjndnnebvcd4hv3hj44	312	39	are	be	VBP
work_ope6navdjndnnebvcd4hv3hj44	312	40	wrong	wrong	JJ
work_ope6navdjndnnebvcd4hv3hj44	312	41	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	312	42	frequently	frequently	RB
work_ope6navdjndnnebvcd4hv3hj44	312	43	leading	lead	VBG
work_ope6navdjndnnebvcd4hv3hj44	312	44	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	312	45	cata-	cata-	JJ
work_ope6navdjndnnebvcd4hv3hj44	312	46	strophic	strophic	JJ
work_ope6navdjndnnebvcd4hv3hj44	312	47	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	312	48	results	result	NNS
work_ope6navdjndnnebvcd4hv3hj44	312	49	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	313	1	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	313	2	means	mean	VBZ
work_ope6navdjndnnebvcd4hv3hj44	313	3	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	313	4	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	313	5	study	study	NN
work_ope6navdjndnnebvcd4hv3hj44	313	6	clearly	clearly	RB
work_ope6navdjndnnebvcd4hv3hj44	313	7	indicates	indicate	VBZ
work_ope6navdjndnnebvcd4hv3hj44	313	8	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	313	9	resampling	resample	VBG
work_ope6navdjndnnebvcd4hv3hj44	313	10	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	313	11	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	313	12	recommended	recommend	VBN
work_ope6navdjndnnebvcd4hv3hj44	313	13	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	313	14	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	313	15	context	context	NN
work_ope6navdjndnnebvcd4hv3hj44	313	16	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	313	17	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	313	18	fore-	fore-	NN
work_ope6navdjndnnebvcd4hv3hj44	313	19	casting	cast	VBG
work_ope6navdjndnnebvcd4hv3hj44	313	20	due	due	IN
work_ope6navdjndnnebvcd4hv3hj44	313	21	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	313	22	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	313	23	increase	increase	NN
work_ope6navdjndnnebvcd4hv3hj44	313	24	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	313	25	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	313	26	risk	risk	NN
work_ope6navdjndnnebvcd4hv3hj44	313	27	exposure	exposure	NN
work_ope6navdjndnnebvcd4hv3hj44	313	28	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	314	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	314	2	other	other	JJ
work_ope6navdjndnnebvcd4hv3hj44	314	3	standard	standard	JJ
work_ope6navdjndnnebvcd4hv3hj44	314	4	technique	technique	NN
work_ope6navdjndnnebvcd4hv3hj44	314	5	we	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	314	6	have	have	VBP
work_ope6navdjndnnebvcd4hv3hj44	314	7	considered	consider	VBN
work_ope6navdjndnnebvcd4hv3hj44	314	8	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	314	9	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	314	10	study	study	NN
work_ope6navdjndnnebvcd4hv3hj44	314	11	was	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	314	12	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	314	13	use	use	NN
work_ope6navdjndnnebvcd4hv3hj44	314	14	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	314	15	cost	cost	NN
work_ope6navdjndnnebvcd4hv3hj44	314	16	–	–	:
work_ope6navdjndnnebvcd4hv3hj44	314	17	benefit	benefit	NN
work_ope6navdjndnnebvcd4hv3hj44	314	18	matrices	matrix	NNS
work_ope6navdjndnnebvcd4hv3hj44	314	19	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	314	20	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	314	21	means	means	NN
work_ope6navdjndnnebvcd4hv3hj44	314	22	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	314	23	make	make	VB
work_ope6navdjndnnebvcd4hv3hj44	314	24	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	314	25	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	314	26	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	314	27	aware	aware	JJ
work_ope6navdjndnnebvcd4hv3hj44	314	28	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	314	29	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	314	30	different	different	JJ
work_ope6navdjndnnebvcd4hv3hj44	314	31	costs	cost	NNS
work_ope6navdjndnnebvcd4hv3hj44	314	32	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	314	33	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	314	34	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	314	35	errors	error	NNS
work_ope6navdjndnnebvcd4hv3hj44	314	36	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	315	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	315	2	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	315	3	case	case	NN
work_ope6navdjndnnebvcd4hv3hj44	315	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	315	5	our	-PRON-	PRP$
work_ope6navdjndnnebvcd4hv3hj44	315	6	study	study	NN
work_ope6navdjndnnebvcd4hv3hj44	315	7	collected	collect	VBD
work_ope6navdjndnnebvcd4hv3hj44	315	8	sufficient	sufficient	JJ
work_ope6navdjndnnebvcd4hv3hj44	315	9	evidence	evidence	NN
work_ope6navdjndnnebvcd4hv3hj44	315	10	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	315	11	conclude	conclude	VB
work_ope6navdjndnnebvcd4hv3hj44	315	12	that	that	IN
work_ope6navdjndnnebvcd4hv3hj44	315	13	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	315	14	method	method	NN
work_ope6navdjndnnebvcd4hv3hj44	315	15	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	315	16	promising	promising	JJ
work_ope6navdjndnnebvcd4hv3hj44	315	17	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	315	18	although	although	IN
work_ope6navdjndnnebvcd4hv3hj44	315	19	not	not	RB
work_ope6navdjndnnebvcd4hv3hj44	315	20	all	all	DT
work_ope6navdjndnnebvcd4hv3hj44	315	21	modeling	modeling	NN
work_ope6navdjndnnebvcd4hv3hj44	315	22	techniques	technique	NNS
work_ope6navdjndnnebvcd4hv3hj44	315	23	were	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	315	24	able	able	JJ
work_ope6navdjndnnebvcd4hv3hj44	315	25	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	315	26	capitalize	capitalize	VB
work_ope6navdjndnnebvcd4hv3hj44	315	27	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	315	28	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	315	29	extra	extra	JJ
work_ope6navdjndnnebvcd4hv3hj44	315	30	information	information	NN
work_ope6navdjndnnebvcd4hv3hj44	315	31	provided	provide	VBN
work_ope6navdjndnnebvcd4hv3hj44	315	32	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	315	33	these	these	DT
work_ope6navdjndnnebvcd4hv3hj44	315	34	matrices	matrix	NNS
work_ope6navdjndnnebvcd4hv3hj44	315	35	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	316	1	ACKNOWLEDGEMENTS	ACKNOWLEDGEMENTS	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	2	This	this	DT
work_ope6navdjndnnebvcd4hv3hj44	316	3	work	work	NN
work_ope6navdjndnnebvcd4hv3hj44	316	4	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	316	5	financed	finance	VBN
work_ope6navdjndnnebvcd4hv3hj44	316	6	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	316	7	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	316	8	European	European	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	9	Regional	Regional	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	10	Development	Development	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	11	Fund	Fund	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	12	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	316	13	ERDF	ERDF	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	14	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	316	15	through	through	IN
work_ope6navdjndnnebvcd4hv3hj44	316	16	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	316	17	Operational	Operational	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	18	Programme	Programme	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	19	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	316	20	Competitiveness	Competitiveness	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	21	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	316	22	Internationalisation	Internationalisation	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	23	‐	‐	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	24	COMPETE	COMPETE	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	25	2020	2020	CD
work_ope6navdjndnnebvcd4hv3hj44	316	26	Programme	Programme	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	27	within	within	IN
work_ope6navdjndnnebvcd4hv3hj44	316	28	project	project	NN
work_ope6navdjndnnebvcd4hv3hj44	316	29	POCI‐01‐0145‐FEDER‐006961	POCI‐01‐0145‐FEDER‐006961	NNS
work_ope6navdjndnnebvcd4hv3hj44	316	30	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	316	31	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	316	32	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	316	33	North	North	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	34	Portugal	Portugal	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	35	Regional	Regional	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	36	Operational	Operational	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	37	Programme	Programme	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	38	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	316	39	ON.2	ON.2	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	40	‐	‐	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	316	41	O	O	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	42	Novo	Novo	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	43	Norte	Norte	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	44	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	316	45	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	316	46	under	under	IN
work_ope6navdjndnnebvcd4hv3hj44	316	47	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	316	48	National	National	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	49	Strategic	Strategic	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	50	Reference	Reference	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	51	Framework	Framework	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	52	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	316	53	NSRF	NSRF	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	54	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	316	55	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	316	56	through	through	IN
work_ope6navdjndnnebvcd4hv3hj44	316	57	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	316	58	European	European	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	59	Regional	Regional	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	60	Development	Development	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	61	Fund	Fund	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	62	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	316	63	ERDF	ERDF	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	64	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	316	65	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	316	66	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	316	67	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	316	68	national	national	JJ
work_ope6navdjndnnebvcd4hv3hj44	316	69	funds	fund	NNS
work_ope6navdjndnnebvcd4hv3hj44	316	70	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	316	71	through	through	IN
work_ope6navdjndnnebvcd4hv3hj44	316	72	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	316	73	Portuguese	portuguese	JJ
work_ope6navdjndnnebvcd4hv3hj44	316	74	funding	funding	NN
work_ope6navdjndnnebvcd4hv3hj44	316	75	agency	agency	NN
work_ope6navdjndnnebvcd4hv3hj44	316	76	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	316	77	FCT	FCT	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	78	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	316	79	within	within	IN
work_ope6navdjndnnebvcd4hv3hj44	316	80	Project	Project	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	81	NORTE‐07‐	NORTE‐07‐	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	82	0124‐FEDER‐000059	0124‐FEDER‐000059	NNP
work_ope6navdjndnnebvcd4hv3hj44	316	83	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	317	1	Part	part	NN
work_ope6navdjndnnebvcd4hv3hj44	317	2	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	317	3	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	317	4	work	work	NN
work_ope6navdjndnnebvcd4hv3hj44	317	5	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	317	6	Luís	Luís	NNP
work_ope6navdjndnnebvcd4hv3hj44	317	7	Torgo	Torgo	NNP
work_ope6navdjndnnebvcd4hv3hj44	317	8	was	be	VBD
work_ope6navdjndnnebvcd4hv3hj44	317	9	supported	support	VBN
work_ope6navdjndnnebvcd4hv3hj44	317	10	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	317	11	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	317	12	sabbatical	sabbatical	JJ
work_ope6navdjndnnebvcd4hv3hj44	317	13	scholarship	scholarship	NN
work_ope6navdjndnnebvcd4hv3hj44	317	14	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	317	15	SFRH	SFRH	NNP
work_ope6navdjndnnebvcd4hv3hj44	317	16	/	/	SYM
work_ope6navdjndnnebvcd4hv3hj44	317	17	BSAB/113896/2015	BSAB/113896/2015	NNP
work_ope6navdjndnnebvcd4hv3hj44	317	18	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	317	19	from	from	IN
work_ope6navdjndnnebvcd4hv3hj44	317	20	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	317	21	Portuguese	portuguese	JJ
work_ope6navdjndnnebvcd4hv3hj44	317	22	funding	funding	NN
work_ope6navdjndnnebvcd4hv3hj44	317	23	agency	agency	NN
work_ope6navdjndnnebvcd4hv3hj44	317	24	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	317	25	FCT	FCT	NNP
work_ope6navdjndnnebvcd4hv3hj44	317	26	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	317	27	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	318	1	REFERENCES	REFERENCES	NNP
work_ope6navdjndnnebvcd4hv3hj44	318	2	Atsalakis	Atsalakis	NNP
work_ope6navdjndnnebvcd4hv3hj44	318	3	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	318	4	G.	G.	NNP
work_ope6navdjndnnebvcd4hv3hj44	318	5	S.	S.	NNP
work_ope6navdjndnnebvcd4hv3hj44	318	6	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	318	7	&	&	CC
work_ope6navdjndnnebvcd4hv3hj44	318	8	Valavanis	Valavanis	NNP
work_ope6navdjndnnebvcd4hv3hj44	318	9	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	318	10	K.	K.	NNP
work_ope6navdjndnnebvcd4hv3hj44	318	11	P.	P.	NNP
work_ope6navdjndnnebvcd4hv3hj44	318	12	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	318	13	2009	2009	CD
work_ope6navdjndnnebvcd4hv3hj44	318	14	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	318	15	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	319	1	Surveying	survey	VBG
work_ope6navdjndnnebvcd4hv3hj44	319	2	stock	stock	NN
work_ope6navdjndnnebvcd4hv3hj44	319	3	market	market	NN
work_ope6navdjndnnebvcd4hv3hj44	319	4	forecast-	forecast-	NNP
work_ope6navdjndnnebvcd4hv3hj44	319	5	ing	ing	NNP
work_ope6navdjndnnebvcd4hv3hj44	319	6	techniques	technique	NNS
work_ope6navdjndnnebvcd4hv3hj44	319	7	part	part	NN
work_ope6navdjndnnebvcd4hv3hj44	319	8	II	ii	CD
work_ope6navdjndnnebvcd4hv3hj44	319	9	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	319	10	Soft	soft	JJ
work_ope6navdjndnnebvcd4hv3hj44	319	11	computing	computing	NN
work_ope6navdjndnnebvcd4hv3hj44	319	12	methods	method	NNS
work_ope6navdjndnnebvcd4hv3hj44	319	13	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	320	1	Expert	expert	NN
work_ope6navdjndnnebvcd4hv3hj44	320	2	Systems	system	NNS
work_ope6navdjndnnebvcd4hv3hj44	320	3	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	320	4	Applications	Applications	NNPS
work_ope6navdjndnnebvcd4hv3hj44	320	5	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	320	6	36(3	36(3	CD
work_ope6navdjndnnebvcd4hv3hj44	320	7	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	320	8	Part	Part	NNP
work_ope6navdjndnnebvcd4hv3hj44	320	9	2	2	CD
work_ope6navdjndnnebvcd4hv3hj44	320	10	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	320	11	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	320	12	5932–5941	5932–5941	CD
work_ope6navdjndnnebvcd4hv3hj44	320	13	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	321	1	Baia	Baia	NNP
work_ope6navdjndnnebvcd4hv3hj44	321	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	321	3	L.	L.	NNP
work_ope6navdjndnnebvcd4hv3hj44	321	4	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	321	5	2015	2015	CD
work_ope6navdjndnnebvcd4hv3hj44	321	6	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	321	7	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	322	1	Actionable	actionable	JJ
work_ope6navdjndnnebvcd4hv3hj44	322	2	forecasting	forecasting	NN
work_ope6navdjndnnebvcd4hv3hj44	322	3	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	322	4	activity	activity	NN
work_ope6navdjndnnebvcd4hv3hj44	322	5	monitoring	monitoring	NN
work_ope6navdjndnnebvcd4hv3hj44	322	6	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	322	7	Applications	application	NNS
work_ope6navdjndnnebvcd4hv3hj44	322	8	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	322	9	financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	322	10	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	322	11	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	323	1	Branco	Branco	NNP
work_ope6navdjndnnebvcd4hv3hj44	323	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	323	3	P.	P.	NNP
work_ope6navdjndnnebvcd4hv3hj44	323	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	323	5	Torgo	Torgo	NNP
work_ope6navdjndnnebvcd4hv3hj44	323	6	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	323	7	L.	L.	NNP
work_ope6navdjndnnebvcd4hv3hj44	323	8	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	323	9	&	&	CC
work_ope6navdjndnnebvcd4hv3hj44	323	10	Ribeiro	Ribeiro	NNP
work_ope6navdjndnnebvcd4hv3hj44	323	11	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	323	12	R.	R.	NNP
work_ope6navdjndnnebvcd4hv3hj44	323	13	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	323	14	2016	2016	CD
work_ope6navdjndnnebvcd4hv3hj44	323	15	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	323	16	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	324	1	A	a	DT
work_ope6navdjndnnebvcd4hv3hj44	324	2	survey	survey	NN
work_ope6navdjndnnebvcd4hv3hj44	324	3	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	324	4	predictive	predictive	JJ
work_ope6navdjndnnebvcd4hv3hj44	324	5	modeling	modeling	NN
work_ope6navdjndnnebvcd4hv3hj44	324	6	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	324	7	imbalanced	imbalanced	JJ
work_ope6navdjndnnebvcd4hv3hj44	324	8	domains	domain	NNS
work_ope6navdjndnnebvcd4hv3hj44	324	9	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	325	1	ACM	ACM	NNP
work_ope6navdjndnnebvcd4hv3hj44	325	2	Computing	Computing	NNP
work_ope6navdjndnnebvcd4hv3hj44	325	3	Surveys	Surveys	NNP
work_ope6navdjndnnebvcd4hv3hj44	325	4	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	325	5	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	325	6	appear	appear	VB
work_ope6navdjndnnebvcd4hv3hj44	325	7	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	325	8	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	326	1	Chang	Chang	NNP
work_ope6navdjndnnebvcd4hv3hj44	326	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	326	3	P.‐C.	p.‐c.	ADD
work_ope6navdjndnnebvcd4hv3hj44	326	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	326	5	Fan	fan	NN
work_ope6navdjndnnebvcd4hv3hj44	326	6	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	326	7	C.‐Y.	c.‐y.	ADD
work_ope6navdjndnnebvcd4hv3hj44	326	8	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	326	9	&	&	CC
work_ope6navdjndnnebvcd4hv3hj44	326	10	Liu	Liu	NNP
work_ope6navdjndnnebvcd4hv3hj44	326	11	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	326	12	C.‐H.	C.‐H.	.
work_ope6navdjndnnebvcd4hv3hj44	327	1	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	327	2	2009	2009	CD
work_ope6navdjndnnebvcd4hv3hj44	327	3	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	327	4	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	328	1	Integrating	integrate	VBG
work_ope6navdjndnnebvcd4hv3hj44	328	2	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	328	3	piecewise	piecewise	NN
work_ope6navdjndnnebvcd4hv3hj44	328	4	linear	linear	NN
work_ope6navdjndnnebvcd4hv3hj44	328	5	representation	representation	NN
work_ope6navdjndnnebvcd4hv3hj44	328	6	method	method	NN
work_ope6navdjndnnebvcd4hv3hj44	328	7	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	328	8	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	328	9	neural	neural	JJ
work_ope6navdjndnnebvcd4hv3hj44	328	10	network	network	NN
work_ope6navdjndnnebvcd4hv3hj44	328	11	model	model	NN
work_ope6navdjndnnebvcd4hv3hj44	328	12	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	328	13	stock	stock	NN
work_ope6navdjndnnebvcd4hv3hj44	328	14	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	328	15	points	point	NNS
work_ope6navdjndnnebvcd4hv3hj44	328	16	prediction	prediction	NN
work_ope6navdjndnnebvcd4hv3hj44	328	17	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	329	1	IEEE	IEEE	NNP
work_ope6navdjndnnebvcd4hv3hj44	329	2	Transactions	transaction	NNS
work_ope6navdjndnnebvcd4hv3hj44	329	3	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	329	4	Systems	Systems	NNPS
work_ope6navdjndnnebvcd4hv3hj44	329	5	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	329	6	Man	Man	NNP
work_ope6navdjndnnebvcd4hv3hj44	329	7	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	329	8	Cybernetics	Cybernetics	NNP
work_ope6navdjndnnebvcd4hv3hj44	329	9	Part	Part	NNP
work_ope6navdjndnnebvcd4hv3hj44	329	10	C	C	NNP
work_ope6navdjndnnebvcd4hv3hj44	329	11	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	329	12	Applications	Applications	NNPS
work_ope6navdjndnnebvcd4hv3hj44	329	13	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	329	14	Reviews	Reviews	NNP
work_ope6navdjndnnebvcd4hv3hj44	329	15	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	329	16	39(1	39(1	CD
work_ope6navdjndnnebvcd4hv3hj44	329	17	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	329	18	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	329	19	80–92	80–92	CD
work_ope6navdjndnnebvcd4hv3hj44	329	20	.cited	.cite	VBN
work_ope6navdjndnnebvcd4hv3hj44	329	21	By	by	IN
work_ope6navdjndnnebvcd4hv3hj44	329	22	39	39	CD
work_ope6navdjndnnebvcd4hv3hj44	329	23	Chawla	Chawla	NNP
work_ope6navdjndnnebvcd4hv3hj44	329	24	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	329	25	N.	N.	NNP
work_ope6navdjndnnebvcd4hv3hj44	329	26	V.	V.	NNP
work_ope6navdjndnnebvcd4hv3hj44	329	27	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	329	28	Bowyer	Bowyer	NNP
work_ope6navdjndnnebvcd4hv3hj44	329	29	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	329	30	K.	K.	NNP
work_ope6navdjndnnebvcd4hv3hj44	329	31	W.	W.	NNP
work_ope6navdjndnnebvcd4hv3hj44	329	32	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	329	33	Hall	Hall	NNP
work_ope6navdjndnnebvcd4hv3hj44	329	34	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	329	35	L.	L.	NNP
work_ope6navdjndnnebvcd4hv3hj44	329	36	O.	O.	NNP
work_ope6navdjndnnebvcd4hv3hj44	329	37	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	329	38	&	&	CC
work_ope6navdjndnnebvcd4hv3hj44	329	39	Kegelmeyer	Kegelmeyer	NNP
work_ope6navdjndnnebvcd4hv3hj44	329	40	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	329	41	W.	W.	NNP
work_ope6navdjndnnebvcd4hv3hj44	329	42	P.	P.	NNP
work_ope6navdjndnnebvcd4hv3hj44	329	43	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	329	44	2002	2002	CD
work_ope6navdjndnnebvcd4hv3hj44	329	45	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	329	46	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	330	1	Smote	Smote	NNP
work_ope6navdjndnnebvcd4hv3hj44	330	2	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	330	3	Synthetic	synthetic	JJ
work_ope6navdjndnnebvcd4hv3hj44	330	4	minority	minority	NN
work_ope6navdjndnnebvcd4hv3hj44	330	5	over‐sampling	over‐sample	VBG
work_ope6navdjndnnebvcd4hv3hj44	330	6	technique	technique	NN
work_ope6navdjndnnebvcd4hv3hj44	330	7	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	331	1	Journal	Journal	NNP
work_ope6navdjndnnebvcd4hv3hj44	331	2	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	331	3	Artificial	Artificial	NNP
work_ope6navdjndnnebvcd4hv3hj44	331	4	Intelligence	Intelligence	NNP
work_ope6navdjndnnebvcd4hv3hj44	331	5	Research	Research	NNP
work_ope6navdjndnnebvcd4hv3hj44	331	6	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	331	7	16(1	16(1	CD
work_ope6navdjndnnebvcd4hv3hj44	331	8	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	331	9	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	331	10	321–357	321–357	CD
work_ope6navdjndnnebvcd4hv3hj44	331	11	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	332	1	Demšar	Demšar	NNP
work_ope6navdjndnnebvcd4hv3hj44	332	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	332	3	J.	J.	NNP
work_ope6navdjndnnebvcd4hv3hj44	333	1	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	333	2	2006	2006	CD
work_ope6navdjndnnebvcd4hv3hj44	333	3	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	333	4	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	334	1	Statistical	statistical	JJ
work_ope6navdjndnnebvcd4hv3hj44	334	2	comparisons	comparison	NNS
work_ope6navdjndnnebvcd4hv3hj44	334	3	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	334	4	classifiers	classifier	NNS
work_ope6navdjndnnebvcd4hv3hj44	334	5	over	over	IN
work_ope6navdjndnnebvcd4hv3hj44	334	6	multiple	multiple	JJ
work_ope6navdjndnnebvcd4hv3hj44	334	7	data	datum	NNS
work_ope6navdjndnnebvcd4hv3hj44	334	8	sets	set	NNS
work_ope6navdjndnnebvcd4hv3hj44	334	9	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	335	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	335	2	Journal	Journal	NNP
work_ope6navdjndnnebvcd4hv3hj44	335	3	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	335	4	Machine	Machine	NNP
work_ope6navdjndnnebvcd4hv3hj44	335	5	Learning	Learning	NNP
work_ope6navdjndnnebvcd4hv3hj44	335	6	Research	Research	NNP
work_ope6navdjndnnebvcd4hv3hj44	335	7	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	335	8	7	7	CD
work_ope6navdjndnnebvcd4hv3hj44	335	9	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	335	10	1–30	1–30	NNP
work_ope6navdjndnnebvcd4hv3hj44	335	11	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	336	1	Elkan	Elkan	NNP
work_ope6navdjndnnebvcd4hv3hj44	336	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	336	3	C.	C.	NNP
work_ope6navdjndnnebvcd4hv3hj44	336	4	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	336	5	2001	2001	CD
work_ope6navdjndnnebvcd4hv3hj44	336	6	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	336	7	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	337	1	The	the	DT
work_ope6navdjndnnebvcd4hv3hj44	337	2	foundations	foundation	NNS
work_ope6navdjndnnebvcd4hv3hj44	337	3	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	337	4	cost‐sensitive	cost‐sensitive	JJ
work_ope6navdjndnnebvcd4hv3hj44	337	5	learning	learning	NN
work_ope6navdjndnnebvcd4hv3hj44	337	6	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	338	1	In	in	IN
work_ope6navdjndnnebvcd4hv3hj44	338	2	IJCAI’01	ijcai’01	NN
work_ope6navdjndnnebvcd4hv3hj44	338	3	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	338	4	Proc	Proc	NNP
work_ope6navdjndnnebvcd4hv3hj44	338	5	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	339	1	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	339	2	17th	17th	NNP
work_ope6navdjndnnebvcd4hv3hj44	339	3	Int	Int	NNP
work_ope6navdjndnnebvcd4hv3hj44	339	4	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	340	1	Joint	Joint	NNP
work_ope6navdjndnnebvcd4hv3hj44	340	2	Conf	Conf	NNP
work_ope6navdjndnnebvcd4hv3hj44	340	3	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	341	1	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	341	2	Artificial	Artificial	NNP
work_ope6navdjndnnebvcd4hv3hj44	341	3	Intelligence	Intelligence	NNP
work_ope6navdjndnnebvcd4hv3hj44	341	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	341	5	volume	volume	NN
work_ope6navdjndnnebvcd4hv3hj44	341	6	1	1	CD
work_ope6navdjndnnebvcd4hv3hj44	341	7	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	341	8	pp	pp	NNP
work_ope6navdjndnnebvcd4hv3hj44	341	9	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	342	1	973–978	973–978	CD
work_ope6navdjndnnebvcd4hv3hj44	342	2	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	343	1	Morgan	Morgan	NNP
work_ope6navdjndnnebvcd4hv3hj44	343	2	Kaufmann	Kaufmann	NNP
work_ope6navdjndnnebvcd4hv3hj44	343	3	Publishers	Publishers	NNPS
work_ope6navdjndnnebvcd4hv3hj44	343	4	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	344	1	BAÍA	BAÍA	NNS
work_ope6navdjndnnebvcd4hv3hj44	344	2	AND	and	CC
work_ope6navdjndnnebvcd4hv3hj44	344	3	TORGO	torgo	NN
work_ope6navdjndnnebvcd4hv3hj44	344	4	13	13	CD
work_ope6navdjndnnebvcd4hv3hj44	344	5	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	344	6	13	13	CD
work_ope6navdjndnnebvcd4hv3hj44	344	7	Genay	Genay	NNP
work_ope6navdjndnnebvcd4hv3hj44	344	8	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	344	9	R.	R.	NNP
work_ope6navdjndnnebvcd4hv3hj44	344	10	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	344	11	1999	1999	CD
work_ope6navdjndnnebvcd4hv3hj44	344	12	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	344	13	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	345	1	Linear	Linear	NNP
work_ope6navdjndnnebvcd4hv3hj44	345	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	345	3	non‐linear	non‐linear	NNP
work_ope6navdjndnnebvcd4hv3hj44	345	4	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	345	5	essential	essential	JJ
work_ope6navdjndnnebvcd4hv3hj44	345	6	foreign	foreign	JJ
work_ope6navdjndnnebvcd4hv3hj44	345	7	exchange	exchange	NN
work_ope6navdjndnnebvcd4hv3hj44	345	8	rate	rate	NN
work_ope6navdjndnnebvcd4hv3hj44	345	9	prediction	prediction	NN
work_ope6navdjndnnebvcd4hv3hj44	345	10	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	345	11	simple	simple	JJ
work_ope6navdjndnnebvcd4hv3hj44	345	12	technical	technical	JJ
work_ope6navdjndnnebvcd4hv3hj44	345	13	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	345	14	rules	rule	NNS
work_ope6navdjndnnebvcd4hv3hj44	345	15	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	346	1	Journal	Journal	NNP
work_ope6navdjndnnebvcd4hv3hj44	346	2	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	346	3	International	International	NNP
work_ope6navdjndnnebvcd4hv3hj44	346	4	Economics	Economics	NNP
work_ope6navdjndnnebvcd4hv3hj44	346	5	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	346	6	47(1	47(1	NNP
work_ope6navdjndnnebvcd4hv3hj44	346	7	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	346	8	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	346	9	91–107	91–107	CD
work_ope6navdjndnnebvcd4hv3hj44	346	10	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	347	1	Ghazali	Ghazali	NNP
work_ope6navdjndnnebvcd4hv3hj44	347	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	347	3	R.	R.	NNP
work_ope6navdjndnnebvcd4hv3hj44	347	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	347	5	Hussain	Hussain	NNP
work_ope6navdjndnnebvcd4hv3hj44	347	6	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	347	7	A.	A.	NNP
work_ope6navdjndnnebvcd4hv3hj44	347	8	J.	J.	NNP
work_ope6navdjndnnebvcd4hv3hj44	347	9	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	347	10	&	&	CC
work_ope6navdjndnnebvcd4hv3hj44	347	11	Liatsis	Liatsis	NNP
work_ope6navdjndnnebvcd4hv3hj44	347	12	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	347	13	P.	P.	NNP
work_ope6navdjndnnebvcd4hv3hj44	347	14	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	347	15	2011	2011	CD
work_ope6navdjndnnebvcd4hv3hj44	347	16	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	347	17	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	348	1	Dynamic	dynamic	JJ
work_ope6navdjndnnebvcd4hv3hj44	348	2	ridge	ridge	NN
work_ope6navdjndnnebvcd4hv3hj44	348	3	polynomial	polynomial	JJ
work_ope6navdjndnnebvcd4hv3hj44	348	4	neural	neural	JJ
work_ope6navdjndnnebvcd4hv3hj44	348	5	network	network	NN
work_ope6navdjndnnebvcd4hv3hj44	348	6	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	348	7	Forecasting	forecast	VBG
work_ope6navdjndnnebvcd4hv3hj44	348	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	348	9	univariate	univariate	JJ
work_ope6navdjndnnebvcd4hv3hj44	348	10	non‐stationary	non‐stationary	NNP
work_ope6navdjndnnebvcd4hv3hj44	348	11	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	348	12	stationary	stationary	JJ
work_ope6navdjndnnebvcd4hv3hj44	348	13	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	348	14	signals	signal	NNS
work_ope6navdjndnnebvcd4hv3hj44	348	15	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	349	1	Expert	expert	NN
work_ope6navdjndnnebvcd4hv3hj44	349	2	Systems	system	NNS
work_ope6navdjndnnebvcd4hv3hj44	349	3	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	349	4	Applications	Applications	NNPS
work_ope6navdjndnnebvcd4hv3hj44	349	5	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	349	6	38(4	38(4	CD
work_ope6navdjndnnebvcd4hv3hj44	349	7	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	349	8	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	349	9	3765–3776	3765–3776	CD
work_ope6navdjndnnebvcd4hv3hj44	349	10	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	350	1	Hellstrom	Hellstrom	NNP
work_ope6navdjndnnebvcd4hv3hj44	350	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	350	3	T.	t.	NN
work_ope6navdjndnnebvcd4hv3hj44	350	4	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	350	5	1999	1999	CD
work_ope6navdjndnnebvcd4hv3hj44	350	6	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	350	7	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	351	1	Data	datum	NNS
work_ope6navdjndnnebvcd4hv3hj44	351	2	snooping	snoop	VBG
work_ope6navdjndnnebvcd4hv3hj44	351	3	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	351	4	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	351	5	stock	stock	NN
work_ope6navdjndnnebvcd4hv3hj44	351	6	market	market	NN
work_ope6navdjndnnebvcd4hv3hj44	351	7	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	352	1	Theory	theory	NN
work_ope6navdjndnnebvcd4hv3hj44	352	2	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	352	3	Stochastic	Stochastic	NNP
work_ope6navdjndnnebvcd4hv3hj44	352	4	Processes	Processes	NNPS
work_ope6navdjndnnebvcd4hv3hj44	352	5	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	352	6	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	352	7	21	21	CD
work_ope6navdjndnnebvcd4hv3hj44	352	8	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	352	9	1999b	1999b	CD
work_ope6navdjndnnebvcd4hv3hj44	352	10	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	352	11	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	352	12	pp	pp	NNP
work_ope6navdjndnnebvcd4hv3hj44	352	13	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	353	1	33–50	33–50	NNP
work_ope6navdjndnnebvcd4hv3hj44	353	2	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	354	1	Kao	Kao	NNP
work_ope6navdjndnnebvcd4hv3hj44	354	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	354	3	L.‐J.	l.‐j.	ADD
work_ope6navdjndnnebvcd4hv3hj44	354	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	354	5	Chiu	Chiu	NNP
work_ope6navdjndnnebvcd4hv3hj44	354	6	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	354	7	C.‐C.	c.‐c.	ADD
work_ope6navdjndnnebvcd4hv3hj44	354	8	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	354	9	Lu	Lu	NNP
work_ope6navdjndnnebvcd4hv3hj44	354	10	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	354	11	C.‐J.	C.‐J.	NNP
work_ope6navdjndnnebvcd4hv3hj44	354	12	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	354	13	&	&	CC
work_ope6navdjndnnebvcd4hv3hj44	354	14	Chang	Chang	NNP
work_ope6navdjndnnebvcd4hv3hj44	354	15	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	354	16	C.‐H.	c.‐h.	ADD
work_ope6navdjndnnebvcd4hv3hj44	355	1	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	355	2	2013	2013	CD
work_ope6navdjndnnebvcd4hv3hj44	355	3	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	355	4	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	356	1	A	a	DT
work_ope6navdjndnnebvcd4hv3hj44	356	2	hybrid	hybrid	JJ
work_ope6navdjndnnebvcd4hv3hj44	356	3	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	356	4	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	356	5	integrating	integrate	VBG
work_ope6navdjndnnebvcd4hv3hj44	356	6	wavelet‐based	wavelet‐base	VBN
work_ope6navdjndnnebvcd4hv3hj44	356	7	feature	feature	NN
work_ope6navdjndnnebvcd4hv3hj44	356	8	extraction	extraction	NN
work_ope6navdjndnnebvcd4hv3hj44	356	9	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	356	10	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	356	11	MARS	MARS	NNP
work_ope6navdjndnnebvcd4hv3hj44	356	12	}	}	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	356	13	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	356	14	{	{	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	356	15	SVR	SVR	NNP
work_ope6navdjndnnebvcd4hv3hj44	356	16	}	}	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	356	17	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	356	18	stock	stock	NN
work_ope6navdjndnnebvcd4hv3hj44	356	19	index	index	NN
work_ope6navdjndnnebvcd4hv3hj44	356	20	forecasting	forecasting	NN
work_ope6navdjndnnebvcd4hv3hj44	356	21	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	357	1	Decision	Decision	NNP
work_ope6navdjndnnebvcd4hv3hj44	357	2	Support	Support	NNP
work_ope6navdjndnnebvcd4hv3hj44	357	3	Systems	Systems	NNPS
work_ope6navdjndnnebvcd4hv3hj44	357	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	357	5	54(3	54(3	CD
work_ope6navdjndnnebvcd4hv3hj44	357	6	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	357	7	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	357	8	1228–1244	1228–1244	CD
work_ope6navdjndnnebvcd4hv3hj44	357	9	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	358	1	Lee	Lee	NNP
work_ope6navdjndnnebvcd4hv3hj44	358	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	358	3	Y.‐H.	y.‐h.	ADD
work_ope6navdjndnnebvcd4hv3hj44	358	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	358	5	Wei	Wei	NNP
work_ope6navdjndnnebvcd4hv3hj44	358	6	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	358	7	C.‐P.	c.‐p.	ADD
work_ope6navdjndnnebvcd4hv3hj44	358	8	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	358	9	Cheng	Cheng	NNP
work_ope6navdjndnnebvcd4hv3hj44	358	10	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	358	11	T.‐H.	t.‐h.	ADD
work_ope6navdjndnnebvcd4hv3hj44	358	12	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	358	13	&	&	CC
work_ope6navdjndnnebvcd4hv3hj44	358	14	Yang	Yang	NNP
work_ope6navdjndnnebvcd4hv3hj44	358	15	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	358	16	C.‐T.	c.‐t.	ADD
work_ope6navdjndnnebvcd4hv3hj44	359	1	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	359	2	2012	2012	CD
work_ope6navdjndnnebvcd4hv3hj44	359	3	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	359	4	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	360	1	Nearest‐neighbor‐	nearest‐neighbor‐	CD
work_ope6navdjndnnebvcd4hv3hj44	360	2	based	base	VBN
work_ope6navdjndnnebvcd4hv3hj44	360	3	approach	approach	NN
work_ope6navdjndnnebvcd4hv3hj44	360	4	to	to	IN
work_ope6navdjndnnebvcd4hv3hj44	360	5	time‐series	time‐serie	NNS
work_ope6navdjndnnebvcd4hv3hj44	360	6	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	360	7	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	361	1	Decision	Decision	NNP
work_ope6navdjndnnebvcd4hv3hj44	361	2	Support	Support	NNP
work_ope6navdjndnnebvcd4hv3hj44	361	3	Systems	Systems	NNPS
work_ope6navdjndnnebvcd4hv3hj44	361	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	361	5	53(1	53(1	CD
work_ope6navdjndnnebvcd4hv3hj44	361	6	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	361	7	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	361	8	207–217	207–217	CD
work_ope6navdjndnnebvcd4hv3hj44	361	9	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	362	1	Liaw	Liaw	NNP
work_ope6navdjndnnebvcd4hv3hj44	362	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	362	3	A.	a.	NN
work_ope6navdjndnnebvcd4hv3hj44	362	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	362	5	&	&	CC
work_ope6navdjndnnebvcd4hv3hj44	362	6	Wiener	Wiener	NNP
work_ope6navdjndnnebvcd4hv3hj44	362	7	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	362	8	M.	M.	NNP
work_ope6navdjndnnebvcd4hv3hj44	362	9	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	362	10	2002	2002	CD
work_ope6navdjndnnebvcd4hv3hj44	362	11	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	362	12	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	363	1	Classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	363	2	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	363	3	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	363	4	by	by	IN
work_ope6navdjndnnebvcd4hv3hj44	363	5	random	random	JJ
work_ope6navdjndnnebvcd4hv3hj44	363	6	forest	forest	NN
work_ope6navdjndnnebvcd4hv3hj44	363	7	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	364	1	Lu	Lu	NNP
work_ope6navdjndnnebvcd4hv3hj44	364	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	364	3	C.‐J.	c.‐j.	ADD
work_ope6navdjndnnebvcd4hv3hj44	364	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	364	5	Lee	Lee	NNP
work_ope6navdjndnnebvcd4hv3hj44	364	6	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	364	7	T.‐S.	t.‐s.	ADD
work_ope6navdjndnnebvcd4hv3hj44	364	8	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	364	9	&	&	CC
work_ope6navdjndnnebvcd4hv3hj44	364	10	Chiu	Chiu	NNP
work_ope6navdjndnnebvcd4hv3hj44	364	11	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	364	12	C.‐C.	c.‐c.	ADD
work_ope6navdjndnnebvcd4hv3hj44	365	1	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	365	2	2009	2009	CD
work_ope6navdjndnnebvcd4hv3hj44	365	3	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	365	4	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	366	1	Financial	financial	JJ
work_ope6navdjndnnebvcd4hv3hj44	366	2	time	time	NN
work_ope6navdjndnnebvcd4hv3hj44	366	3	series	series	NN
work_ope6navdjndnnebvcd4hv3hj44	366	4	forecasting	forecasting	NN
work_ope6navdjndnnebvcd4hv3hj44	366	5	using	use	VBG
work_ope6navdjndnnebvcd4hv3hj44	366	6	independent	independent	JJ
work_ope6navdjndnnebvcd4hv3hj44	366	7	component	component	NN
work_ope6navdjndnnebvcd4hv3hj44	366	8	analysis	analysis	NN
work_ope6navdjndnnebvcd4hv3hj44	366	9	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	366	10	support	support	NN
work_ope6navdjndnnebvcd4hv3hj44	366	11	vector	vector	NN
work_ope6navdjndnnebvcd4hv3hj44	366	12	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	366	13	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	367	1	Decision	Decision	NNP
work_ope6navdjndnnebvcd4hv3hj44	367	2	Support	Support	NNP
work_ope6navdjndnnebvcd4hv3hj44	367	3	Systems	Systems	NNPS
work_ope6navdjndnnebvcd4hv3hj44	367	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	367	5	47(2	47(2	CD
work_ope6navdjndnnebvcd4hv3hj44	367	6	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	367	7	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	367	8	115–125	115–125	CD
work_ope6navdjndnnebvcd4hv3hj44	367	9	.cited	.cite	VBN
work_ope6navdjndnnebvcd4hv3hj44	367	10	By	by	IN
work_ope6navdjndnnebvcd4hv3hj44	367	11	112	112	CD
work_ope6navdjndnnebvcd4hv3hj44	367	12	Luo	Luo	NNP
work_ope6navdjndnnebvcd4hv3hj44	367	13	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	367	14	L.	L.	NNP
work_ope6navdjndnnebvcd4hv3hj44	367	15	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	367	16	&	&	CC
work_ope6navdjndnnebvcd4hv3hj44	367	17	Chen	Chen	NNP
work_ope6navdjndnnebvcd4hv3hj44	367	18	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	367	19	X.	X.	NNP
work_ope6navdjndnnebvcd4hv3hj44	368	1	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	368	2	2013	2013	CD
work_ope6navdjndnnebvcd4hv3hj44	368	3	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	368	4	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	369	1	Integrating	integrate	VBG
work_ope6navdjndnnebvcd4hv3hj44	369	2	piecewise	piecewise	NN
work_ope6navdjndnnebvcd4hv3hj44	369	3	linear	linear	NN
work_ope6navdjndnnebvcd4hv3hj44	369	4	representation	representation	NN
work_ope6navdjndnnebvcd4hv3hj44	369	5	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	369	6	weighted	weight	VBD
work_ope6navdjndnnebvcd4hv3hj44	369	7	support	support	NN
work_ope6navdjndnnebvcd4hv3hj44	369	8	vector	vector	NN
work_ope6navdjndnnebvcd4hv3hj44	369	9	machine	machine	NN
work_ope6navdjndnnebvcd4hv3hj44	369	10	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	369	11	stock	stock	NN
work_ope6navdjndnnebvcd4hv3hj44	369	12	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	369	13	signal	signal	NN
work_ope6navdjndnnebvcd4hv3hj44	369	14	prediction	prediction	NN
work_ope6navdjndnnebvcd4hv3hj44	369	15	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	370	1	Applied	Applied	NNP
work_ope6navdjndnnebvcd4hv3hj44	370	2	Soft	Soft	NNP
work_ope6navdjndnnebvcd4hv3hj44	370	3	Computing	Computing	NNP
work_ope6navdjndnnebvcd4hv3hj44	370	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	370	5	13(2	13(2	CD
work_ope6navdjndnnebvcd4hv3hj44	370	6	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	370	7	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	370	8	806–816	806–816	CD
work_ope6navdjndnnebvcd4hv3hj44	370	9	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	371	1	Ma	Ma	NNP
work_ope6navdjndnnebvcd4hv3hj44	371	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	371	3	G.‐Z.	g.‐z.	ADD
work_ope6navdjndnnebvcd4hv3hj44	371	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	371	5	Song	Song	NNP
work_ope6navdjndnnebvcd4hv3hj44	371	6	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	371	7	E.	E.	NNP
work_ope6navdjndnnebvcd4hv3hj44	371	8	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	371	9	Hung	Hung	NNP
work_ope6navdjndnnebvcd4hv3hj44	371	10	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	371	11	C.‐C.	c.‐c.	ADD
work_ope6navdjndnnebvcd4hv3hj44	371	12	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	371	13	Su	Su	NNP
work_ope6navdjndnnebvcd4hv3hj44	371	14	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	371	15	L.	L.	NNP
work_ope6navdjndnnebvcd4hv3hj44	371	16	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	371	17	&	&	CC
work_ope6navdjndnnebvcd4hv3hj44	371	18	Huang	Huang	NNP
work_ope6navdjndnnebvcd4hv3hj44	371	19	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	371	20	D.‐S.	d.‐s.	ADD
work_ope6navdjndnnebvcd4hv3hj44	372	1	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	372	2	2012	2012	CD
work_ope6navdjndnnebvcd4hv3hj44	372	3	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	372	4	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	373	1	Multiple	multiple	JJ
work_ope6navdjndnnebvcd4hv3hj44	373	2	costs	cost	NNS
work_ope6navdjndnnebvcd4hv3hj44	373	3	based	base	VBN
work_ope6navdjndnnebvcd4hv3hj44	373	4	decision	decision	NN
work_ope6navdjndnnebvcd4hv3hj44	373	5	making	make	VBG
work_ope6navdjndnnebvcd4hv3hj44	373	6	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	373	7	back‐propagation	back‐propagation	NNP
work_ope6navdjndnnebvcd4hv3hj44	373	8	neural	neural	JJ
work_ope6navdjndnnebvcd4hv3hj44	373	9	networks	network	NNS
work_ope6navdjndnnebvcd4hv3hj44	373	10	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	374	1	Decision	Decision	NNP
work_ope6navdjndnnebvcd4hv3hj44	374	2	Support	Support	NNP
work_ope6navdjndnnebvcd4hv3hj44	374	3	Systems	Systems	NNPS
work_ope6navdjndnnebvcd4hv3hj44	374	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	374	5	52(3	52(3	CD
work_ope6navdjndnnebvcd4hv3hj44	374	6	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	374	7	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	374	8	657–663	657–663	CD
work_ope6navdjndnnebvcd4hv3hj44	374	9	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	375	1	Meyer	Meyer	NNP
work_ope6navdjndnnebvcd4hv3hj44	375	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	375	3	D.	D.	NNP
work_ope6navdjndnnebvcd4hv3hj44	375	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	375	5	Dimitriadou	Dimitriadou	NNP
work_ope6navdjndnnebvcd4hv3hj44	375	6	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	375	7	E.	E.	NNP
work_ope6navdjndnnebvcd4hv3hj44	375	8	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	375	9	Hornik	Hornik	NNP
work_ope6navdjndnnebvcd4hv3hj44	375	10	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	375	11	K.	K.	NNP
work_ope6navdjndnnebvcd4hv3hj44	375	12	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	375	13	Weingessel	Weingessel	NNP
work_ope6navdjndnnebvcd4hv3hj44	375	14	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	375	15	A.	A.	NNP
work_ope6navdjndnnebvcd4hv3hj44	375	16	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	375	17	&	&	CC
work_ope6navdjndnnebvcd4hv3hj44	375	18	Leisch	Leisch	NNP
work_ope6navdjndnnebvcd4hv3hj44	375	19	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	375	20	F.	F.	NNP
work_ope6navdjndnnebvcd4hv3hj44	375	21	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	375	22	2014	2014	CD
work_ope6navdjndnnebvcd4hv3hj44	375	23	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	375	24	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	376	1	e1071	e1071	NN
work_ope6navdjndnnebvcd4hv3hj44	376	2	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	376	3	Misc	Misc	NNP
work_ope6navdjndnnebvcd4hv3hj44	376	4	Functions	Functions	NNP
work_ope6navdjndnnebvcd4hv3hj44	376	5	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	376	6	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	376	7	Department	Department	NNP
work_ope6navdjndnnebvcd4hv3hj44	376	8	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	376	9	Statistics	Statistics	NNPS
work_ope6navdjndnnebvcd4hv3hj44	376	10	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	376	11	e1071	e1071	NN
work_ope6navdjndnnebvcd4hv3hj44	376	12	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	376	13	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	376	14	TU	TU	NNP
work_ope6navdjndnnebvcd4hv3hj44	376	15	Wien	Wien	NNP
work_ope6navdjndnnebvcd4hv3hj44	376	16	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	377	1	R	r	NN
work_ope6navdjndnnebvcd4hv3hj44	377	2	package	package	NN
work_ope6navdjndnnebvcd4hv3hj44	377	3	version	version	NN
work_ope6navdjndnnebvcd4hv3hj44	377	4	1.6–4	1.6–4	CD
work_ope6navdjndnnebvcd4hv3hj44	377	5	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	378	1	Milborrow	Milborrow	NNP
work_ope6navdjndnnebvcd4hv3hj44	378	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	378	3	S.	S.	NNP
work_ope6navdjndnnebvcd4hv3hj44	378	4	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	378	5	2014	2014	CD
work_ope6navdjndnnebvcd4hv3hj44	378	6	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	378	7	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	379	1	Earth	earth	NN
work_ope6navdjndnnebvcd4hv3hj44	379	2	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	379	3	Multivariate	multivariate	NN
work_ope6navdjndnnebvcd4hv3hj44	379	4	adaptive	adaptive	JJ
work_ope6navdjndnnebvcd4hv3hj44	379	5	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	379	6	spline	spline	NN
work_ope6navdjndnnebvcd4hv3hj44	379	7	models	model	NNS
work_ope6navdjndnnebvcd4hv3hj44	379	8	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	380	1	R	r	NN
work_ope6navdjndnnebvcd4hv3hj44	380	2	package	package	NN
work_ope6navdjndnnebvcd4hv3hj44	380	3	version	version	NN
work_ope6navdjndnnebvcd4hv3hj44	380	4	3.2–7	3.2–7	NNP
work_ope6navdjndnnebvcd4hv3hj44	380	5	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	381	1	R	R	NNP
work_ope6navdjndnnebvcd4hv3hj44	381	2	Core	Core	NNP
work_ope6navdjndnnebvcd4hv3hj44	381	3	Team	Team	NNP
work_ope6navdjndnnebvcd4hv3hj44	381	4	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	381	5	2014	2014	CD
work_ope6navdjndnnebvcd4hv3hj44	381	6	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	381	7	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	382	1	R	r	NN
work_ope6navdjndnnebvcd4hv3hj44	382	2	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	382	3	A	a	DT
work_ope6navdjndnnebvcd4hv3hj44	382	4	language	language	NN
work_ope6navdjndnnebvcd4hv3hj44	382	5	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	382	6	environment	environment	NN
work_ope6navdjndnnebvcd4hv3hj44	382	7	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	382	8	statistical	statistical	JJ
work_ope6navdjndnnebvcd4hv3hj44	382	9	computing	computing	NN
work_ope6navdjndnnebvcd4hv3hj44	382	10	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	383	1	Vienna	Vienna	NNP
work_ope6navdjndnnebvcd4hv3hj44	383	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	383	3	Austria	Austria	NNP
work_ope6navdjndnnebvcd4hv3hj44	383	4	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	383	5	R	R	NNP
work_ope6navdjndnnebvcd4hv3hj44	383	6	Foundation	Foundation	NNP
work_ope6navdjndnnebvcd4hv3hj44	383	7	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	383	8	Statistical	Statistical	NNP
work_ope6navdjndnnebvcd4hv3hj44	383	9	Computing	Computing	NNP
work_ope6navdjndnnebvcd4hv3hj44	383	10	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	384	1	Ridgeway	ridgeway	NN
work_ope6navdjndnnebvcd4hv3hj44	384	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	384	3	G.	G.	NNP
work_ope6navdjndnnebvcd4hv3hj44	384	4	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	384	5	2013	2013	CD
work_ope6navdjndnnebvcd4hv3hj44	384	6	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	384	7	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	385	1	GBM	GBM	NNP
work_ope6navdjndnnebvcd4hv3hj44	385	2	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	385	3	Generalized	Generalized	NNP
work_ope6navdjndnnebvcd4hv3hj44	385	4	Boosted	Boosted	NNP
work_ope6navdjndnnebvcd4hv3hj44	385	5	Regression	Regression	NNP
work_ope6navdjndnnebvcd4hv3hj44	385	6	Models	Models	NNP
work_ope6navdjndnnebvcd4hv3hj44	385	7	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	386	1	R	r	NN
work_ope6navdjndnnebvcd4hv3hj44	386	2	package	package	NN
work_ope6navdjndnnebvcd4hv3hj44	386	3	version	version	NN
work_ope6navdjndnnebvcd4hv3hj44	386	4	2.1	2.1	CD
work_ope6navdjndnnebvcd4hv3hj44	386	5	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	387	1	Ridgeway	ridgeway	NN
work_ope6navdjndnnebvcd4hv3hj44	387	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	387	3	G.	G.	NNP
work_ope6navdjndnnebvcd4hv3hj44	387	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	387	5	Southworth	Southworth	NNP
work_ope6navdjndnnebvcd4hv3hj44	387	6	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	387	7	M.	M.	NNP
work_ope6navdjndnnebvcd4hv3hj44	387	8	H.	H.	NNP
work_ope6navdjndnnebvcd4hv3hj44	387	9	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	387	10	&	&	CC
work_ope6navdjndnnebvcd4hv3hj44	387	11	RUnit	RUnit	NNP
work_ope6navdjndnnebvcd4hv3hj44	387	12	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	387	13	S.	S.	NNP
work_ope6navdjndnnebvcd4hv3hj44	387	14	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	387	15	2013	2013	CD
work_ope6navdjndnnebvcd4hv3hj44	387	16	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	387	17	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	388	1	Package	package	NN
work_ope6navdjndnnebvcd4hv3hj44	388	2	gbm	gbm	NN
work_ope6navdjndnnebvcd4hv3hj44	388	3	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	389	1	Sermpinis	Sermpinis	NNP
work_ope6navdjndnnebvcd4hv3hj44	389	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	389	3	G.	G.	NNP
work_ope6navdjndnnebvcd4hv3hj44	389	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	389	5	Dunis	Dunis	NNP
work_ope6navdjndnnebvcd4hv3hj44	389	6	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	389	7	C.	C.	NNP
work_ope6navdjndnnebvcd4hv3hj44	389	8	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	389	9	Laws	Laws	NNP
work_ope6navdjndnnebvcd4hv3hj44	389	10	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	389	11	J.	J.	NNP
work_ope6navdjndnnebvcd4hv3hj44	389	12	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	389	13	&	&	CC
work_ope6navdjndnnebvcd4hv3hj44	389	14	Stasinakis	Stasinakis	NNP
work_ope6navdjndnnebvcd4hv3hj44	389	15	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	389	16	C.	C.	NNP
work_ope6navdjndnnebvcd4hv3hj44	389	17	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	389	18	2012	2012	CD
work_ope6navdjndnnebvcd4hv3hj44	389	19	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	389	20	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	390	1	Forecasting	forecasting	NN
work_ope6navdjndnnebvcd4hv3hj44	390	2	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	390	3	trading	trade	VBG
work_ope6navdjndnnebvcd4hv3hj44	390	4	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	390	5	eur	eur	NN
work_ope6navdjndnnebvcd4hv3hj44	390	6	/	/	SYM
work_ope6navdjndnnebvcd4hv3hj44	390	7	usd	usd	NN
work_ope6navdjndnnebvcd4hv3hj44	390	8	exchange	exchange	NN
work_ope6navdjndnnebvcd4hv3hj44	390	9	rate	rate	NN
work_ope6navdjndnnebvcd4hv3hj44	390	10	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	390	11	stochastic	stochastic	NNP
work_ope6navdjndnnebvcd4hv3hj44	390	12	neural	neural	NNP
work_ope6navdjndnnebvcd4hv3hj44	390	13	network	network	NNP
work_ope6navdjndnnebvcd4hv3hj44	390	14	com-	com-	NNP
work_ope6navdjndnnebvcd4hv3hj44	390	15	bination	bination	NN
work_ope6navdjndnnebvcd4hv3hj44	390	16	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	390	17	time‐varying	time‐varye	VBG
work_ope6navdjndnnebvcd4hv3hj44	390	18	leverage	leverage	NN
work_ope6navdjndnnebvcd4hv3hj44	390	19	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	391	1	Decision	Decision	NNP
work_ope6navdjndnnebvcd4hv3hj44	391	2	Support	Support	NNP
work_ope6navdjndnnebvcd4hv3hj44	391	3	Systems	Systems	NNPS
work_ope6navdjndnnebvcd4hv3hj44	391	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	391	5	54(1	54(1	JJ
work_ope6navdjndnnebvcd4hv3hj44	391	6	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	391	7	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	391	8	316–329	316–329	CD
work_ope6navdjndnnebvcd4hv3hj44	391	9	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	392	1	Shin	Shin	NNP
work_ope6navdjndnnebvcd4hv3hj44	392	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	392	3	Y.	Y.	NNP
work_ope6navdjndnnebvcd4hv3hj44	392	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	392	5	&	&	CC
work_ope6navdjndnnebvcd4hv3hj44	392	6	Ghosh	Ghosh	NNP
work_ope6navdjndnnebvcd4hv3hj44	392	7	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	392	8	J.	J.	NNP
work_ope6navdjndnnebvcd4hv3hj44	393	1	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	393	2	1995	1995	CD
work_ope6navdjndnnebvcd4hv3hj44	393	3	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	393	4	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	394	1	Ridge	ridge	VB
work_ope6navdjndnnebvcd4hv3hj44	394	2	polynomial	polynomial	JJ
work_ope6navdjndnnebvcd4hv3hj44	394	3	networks	network	NNS
work_ope6navdjndnnebvcd4hv3hj44	394	4	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	395	1	IEEE	IEEE	NNP
work_ope6navdjndnnebvcd4hv3hj44	395	2	Transactions	transaction	NNS
work_ope6navdjndnnebvcd4hv3hj44	395	3	on	on	IN
work_ope6navdjndnnebvcd4hv3hj44	395	4	Neural	Neural	NNP
work_ope6navdjndnnebvcd4hv3hj44	395	5	Networks	Networks	NNP
work_ope6navdjndnnebvcd4hv3hj44	395	6	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	395	7	6(3	6(3	NNP
work_ope6navdjndnnebvcd4hv3hj44	395	8	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	395	9	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	395	10	610–622	610–622	CD
work_ope6navdjndnnebvcd4hv3hj44	395	11	.cited	.cite	VBN
work_ope6navdjndnnebvcd4hv3hj44	395	12	By	by	IN
work_ope6navdjndnnebvcd4hv3hj44	395	13	64	64	CD
work_ope6navdjndnnebvcd4hv3hj44	395	14	Teixeira	Teixeira	NNP
work_ope6navdjndnnebvcd4hv3hj44	395	15	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	395	16	L.	L.	NNP
work_ope6navdjndnnebvcd4hv3hj44	395	17	A.	A.	NNP
work_ope6navdjndnnebvcd4hv3hj44	395	18	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	395	19	&	&	CC
work_ope6navdjndnnebvcd4hv3hj44	395	20	de	de	NNP
work_ope6navdjndnnebvcd4hv3hj44	395	21	Oliveira	Oliveira	NNP
work_ope6navdjndnnebvcd4hv3hj44	395	22	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	395	23	A.	a.	NN
work_ope6navdjndnnebvcd4hv3hj44	395	24	L.	L.	NNP
work_ope6navdjndnnebvcd4hv3hj44	395	25	I.	i.	NN
work_ope6navdjndnnebvcd4hv3hj44	396	1	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	396	2	2010	2010	CD
work_ope6navdjndnnebvcd4hv3hj44	396	3	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	396	4	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	397	1	A	a	DT
work_ope6navdjndnnebvcd4hv3hj44	397	2	method	method	NN
work_ope6navdjndnnebvcd4hv3hj44	397	3	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	397	4	automatic	automatic	JJ
work_ope6navdjndnnebvcd4hv3hj44	397	5	stock	stock	NN
work_ope6navdjndnnebvcd4hv3hj44	397	6	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	397	7	combining	combine	VBG
work_ope6navdjndnnebvcd4hv3hj44	397	8	technical	technical	JJ
work_ope6navdjndnnebvcd4hv3hj44	397	9	analysis	analysis	NN
work_ope6navdjndnnebvcd4hv3hj44	397	10	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	397	11	nearest	near	JJS
work_ope6navdjndnnebvcd4hv3hj44	397	12	neighbor	neighbor	NN
work_ope6navdjndnnebvcd4hv3hj44	397	13	classification	classification	NN
work_ope6navdjndnnebvcd4hv3hj44	397	14	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	398	1	Expert	expert	NN
work_ope6navdjndnnebvcd4hv3hj44	398	2	Systems	system	NNS
work_ope6navdjndnnebvcd4hv3hj44	398	3	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	398	4	Applications	Applications	NNPS
work_ope6navdjndnnebvcd4hv3hj44	398	5	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	398	6	37(10	37(10	CD
work_ope6navdjndnnebvcd4hv3hj44	398	7	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	398	8	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	398	9	6885–6890	6885–6890	CD
work_ope6navdjndnnebvcd4hv3hj44	398	10	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	399	1	Torgo	Torgo	NNP
work_ope6navdjndnnebvcd4hv3hj44	399	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	399	3	L.	L.	NNP
work_ope6navdjndnnebvcd4hv3hj44	399	4	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	399	5	2010	2010	CD
work_ope6navdjndnnebvcd4hv3hj44	399	6	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	399	7	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	400	1	Data	Data	NNP
work_ope6navdjndnnebvcd4hv3hj44	400	2	Mining	Mining	NNP
work_ope6navdjndnnebvcd4hv3hj44	400	3	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	400	4	R	r	NN
work_ope6navdjndnnebvcd4hv3hj44	400	5	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	400	6	learning	learn	VBG
work_ope6navdjndnnebvcd4hv3hj44	400	7	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	400	8	case	case	NN
work_ope6navdjndnnebvcd4hv3hj44	400	9	studies	study	NNS
work_ope6navdjndnnebvcd4hv3hj44	400	10	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	401	1	London	London	NNP
work_ope6navdjndnnebvcd4hv3hj44	401	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	401	3	United	United	NNP
work_ope6navdjndnnebvcd4hv3hj44	401	4	Kingdom	Kingdom	NNP
work_ope6navdjndnnebvcd4hv3hj44	401	5	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	402	1	Torgo	Torgo	NNP
work_ope6navdjndnnebvcd4hv3hj44	402	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	402	3	L.	L.	NNP
work_ope6navdjndnnebvcd4hv3hj44	402	4	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	402	5	Branco	Branco	NNP
work_ope6navdjndnnebvcd4hv3hj44	402	6	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	402	7	P.	P.	NNP
work_ope6navdjndnnebvcd4hv3hj44	402	8	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	402	9	Ribeiro	Ribeiro	NNP
work_ope6navdjndnnebvcd4hv3hj44	402	10	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	402	11	R.	R.	NNP
work_ope6navdjndnnebvcd4hv3hj44	402	12	P.	P.	NNP
work_ope6navdjndnnebvcd4hv3hj44	402	13	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	402	14	&	&	CC
work_ope6navdjndnnebvcd4hv3hj44	402	15	Pfahringer	Pfahringer	NNP
work_ope6navdjndnnebvcd4hv3hj44	402	16	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	402	17	B.	B.	NNP
work_ope6navdjndnnebvcd4hv3hj44	403	1	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	403	2	2015	2015	CD
work_ope6navdjndnnebvcd4hv3hj44	403	3	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	403	4	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	404	1	Resampling	resample	VBG
work_ope6navdjndnnebvcd4hv3hj44	404	2	strategies	strategy	NNS
work_ope6navdjndnnebvcd4hv3hj44	404	3	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	404	4	regression	regression	NN
work_ope6navdjndnnebvcd4hv3hj44	404	5	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	405	1	Expert	Expert	NNP
work_ope6navdjndnnebvcd4hv3hj44	405	2	Systems	Systems	NNPS
work_ope6navdjndnnebvcd4hv3hj44	405	3	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	405	4	32(3	32(3	CD
work_ope6navdjndnnebvcd4hv3hj44	405	5	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	405	6	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	405	7	465–476	465–476	CD
work_ope6navdjndnnebvcd4hv3hj44	405	8	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	406	1	Venables	Venables	NNP
work_ope6navdjndnnebvcd4hv3hj44	406	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	406	3	W.	W.	NNP
work_ope6navdjndnnebvcd4hv3hj44	406	4	N.	N.	NNP
work_ope6navdjndnnebvcd4hv3hj44	406	5	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	406	6	&	&	CC
work_ope6navdjndnnebvcd4hv3hj44	406	7	Ripley	Ripley	NNP
work_ope6navdjndnnebvcd4hv3hj44	406	8	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	406	9	B.	B.	NNP
work_ope6navdjndnnebvcd4hv3hj44	406	10	D.	D.	NNP
work_ope6navdjndnnebvcd4hv3hj44	406	11	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	406	12	2002	2002	CD
work_ope6navdjndnnebvcd4hv3hj44	406	13	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	406	14	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	407	1	Modern	modern	JJ
work_ope6navdjndnnebvcd4hv3hj44	407	2	applied	applied	JJ
work_ope6navdjndnnebvcd4hv3hj44	407	3	statistics	statistic	NNS
work_ope6navdjndnnebvcd4hv3hj44	407	4	with	with	IN
work_ope6navdjndnnebvcd4hv3hj44	407	5	S	S	NNP
work_ope6navdjndnnebvcd4hv3hj44	407	6	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	407	7	4th	4th	JJ
work_ope6navdjndnnebvcd4hv3hj44	407	8	ed	ed	NN
work_ope6navdjndnnebvcd4hv3hj44	407	9	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	408	1	ISBN	ISBN	NNP
work_ope6navdjndnnebvcd4hv3hj44	408	2	0‐387‐95457‐0	0‐387‐95457‐0	NNP
work_ope6navdjndnnebvcd4hv3hj44	408	3	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	408	4	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	409	1	London	London	NNP
work_ope6navdjndnnebvcd4hv3hj44	409	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	409	3	United	United	NNP
work_ope6navdjndnnebvcd4hv3hj44	409	4	Kingdom	Kingdom	NNP
work_ope6navdjndnnebvcd4hv3hj44	409	5	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	410	1	Wilder	Wilder	NNP
work_ope6navdjndnnebvcd4hv3hj44	410	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	410	3	J.	J.	NNP
work_ope6navdjndnnebvcd4hv3hj44	411	1	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	411	2	1978	1978	CD
work_ope6navdjndnnebvcd4hv3hj44	411	3	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	411	4	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	412	1	New	new	JJ
work_ope6navdjndnnebvcd4hv3hj44	412	2	concepts	concept	NNS
work_ope6navdjndnnebvcd4hv3hj44	412	3	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	412	4	technical	technical	JJ
work_ope6navdjndnnebvcd4hv3hj44	412	5	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	412	6	systems	system	NNS
work_ope6navdjndnnebvcd4hv3hj44	412	7	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	413	1	Kingston	Kingston	NNP
work_ope6navdjndnnebvcd4hv3hj44	413	2	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	413	3	New	New	NNP
work_ope6navdjndnnebvcd4hv3hj44	413	4	York	York	NNP
work_ope6navdjndnnebvcd4hv3hj44	413	5	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	413	6	Trend	Trend	NNP
work_ope6navdjndnnebvcd4hv3hj44	413	7	Research	Research	NNP
work_ope6navdjndnnebvcd4hv3hj44	413	8	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	414	1	How	how	WRB
work_ope6navdjndnnebvcd4hv3hj44	414	2	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	414	3	cite	cite	VB
work_ope6navdjndnnebvcd4hv3hj44	414	4	this	this	DT
work_ope6navdjndnnebvcd4hv3hj44	414	5	article	article	NN
work_ope6navdjndnnebvcd4hv3hj44	414	6	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	414	7	BaíaL	BaíaL	NNP
work_ope6navdjndnnebvcd4hv3hj44	414	8	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	414	9	TorgoL.Acomparativestudyof	TorgoL.Acomparativestudyof	NNP
work_ope6navdjndnnebvcd4hv3hj44	414	10	approaches	approach	VBZ
work_ope6navdjndnnebvcd4hv3hj44	414	11	to	to	TO
work_ope6navdjndnnebvcd4hv3hj44	414	12	forecast	forecast	VB
work_ope6navdjndnnebvcd4hv3hj44	414	13	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	414	14	correct	correct	JJ
work_ope6navdjndnnebvcd4hv3hj44	414	15	trading	trading	NN
work_ope6navdjndnnebvcd4hv3hj44	414	16	actions	action	NNS
work_ope6navdjndnnebvcd4hv3hj44	414	17	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	415	1	Expert	expert	NN
work_ope6navdjndnnebvcd4hv3hj44	415	2	Sys-	Sys-	NNP
work_ope6navdjndnnebvcd4hv3hj44	415	3	tems	tem	NNS
work_ope6navdjndnnebvcd4hv3hj44	415	4	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	416	1	2017;34	2017;34	CD
work_ope6navdjndnnebvcd4hv3hj44	416	2	:	:	:
work_ope6navdjndnnebvcd4hv3hj44	416	3	e12169	e12169	NNS
work_ope6navdjndnnebvcd4hv3hj44	416	4	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	417	1	https://doi.org/10.1111/exsy.12169	https://doi.org/10.1111/exsy.12169	NNP
work_ope6navdjndnnebvcd4hv3hj44	417	2	AUTHOR	AUTHOR	NNP
work_ope6navdjndnnebvcd4hv3hj44	417	3	BIOGRAPHIES	BIOGRAPHIES	NNP
work_ope6navdjndnnebvcd4hv3hj44	417	4	Luis	Luis	NNP
work_ope6navdjndnnebvcd4hv3hj44	417	5	Baia	Baia	NNP
work_ope6navdjndnnebvcd4hv3hj44	417	6	has	have	VBZ
work_ope6navdjndnnebvcd4hv3hj44	417	7	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	417	8	master	master	NN
work_ope6navdjndnnebvcd4hv3hj44	417	9	degree	degree	NN
work_ope6navdjndnnebvcd4hv3hj44	417	10	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	417	11	Applied	Applied	NNP
work_ope6navdjndnnebvcd4hv3hj44	417	12	Mathematics	Mathematics	NNP
work_ope6navdjndnnebvcd4hv3hj44	417	13	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	417	14	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	417	15	Bachelor	Bachelor	NNP
work_ope6navdjndnnebvcd4hv3hj44	417	16	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	417	17	Pure	Pure	NNP
work_ope6navdjndnnebvcd4hv3hj44	417	18	Mathematics	Mathematics	NNP
work_ope6navdjndnnebvcd4hv3hj44	417	19	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	418	1	After	after	IN
work_ope6navdjndnnebvcd4hv3hj44	418	2	some	some	DT
work_ope6navdjndnnebvcd4hv3hj44	418	3	months	month	NNS
work_ope6navdjndnnebvcd4hv3hj44	418	4	researching	research	VBG
work_ope6navdjndnnebvcd4hv3hj44	418	5	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	418	6	Machine	Machine	NNP
work_ope6navdjndnnebvcd4hv3hj44	418	7	Learning	Learning	NNP
work_ope6navdjndnnebvcd4hv3hj44	418	8	at	at	IN
work_ope6navdjndnnebvcd4hv3hj44	418	9	LIAAD	LIAAD	NNP
work_ope6navdjndnnebvcd4hv3hj44	418	10	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	418	11	he	-PRON-	PRP
work_ope6navdjndnnebvcd4hv3hj44	418	12	joined	join	VBD
work_ope6navdjndnnebvcd4hv3hj44	418	13	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	418	14	company	company	NN
work_ope6navdjndnnebvcd4hv3hj44	418	15	called	call	VBN
work_ope6navdjndnnebvcd4hv3hj44	418	16	“	"	``
work_ope6navdjndnnebvcd4hv3hj44	418	17	Farfetch	Farfetch	NNP
work_ope6navdjndnnebvcd4hv3hj44	418	18	”	"	''
work_ope6navdjndnnebvcd4hv3hj44	418	19	as	as	IN
work_ope6navdjndnnebvcd4hv3hj44	418	20	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	418	21	Data	Data	NNP
work_ope6navdjndnnebvcd4hv3hj44	418	22	Scientist	Scientist	NNP
work_ope6navdjndnnebvcd4hv3hj44	418	23	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	419	1	Luis	Luis	NNP
work_ope6navdjndnnebvcd4hv3hj44	419	2	Torgo	Torgo	NNP
work_ope6navdjndnnebvcd4hv3hj44	419	3	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	419	4	an	an	DT
work_ope6navdjndnnebvcd4hv3hj44	419	5	associate	associate	JJ
work_ope6navdjndnnebvcd4hv3hj44	419	6	professor	professor	NN
work_ope6navdjndnnebvcd4hv3hj44	419	7	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	419	8	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	419	9	Department	Department	NNP
work_ope6navdjndnnebvcd4hv3hj44	419	10	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	419	11	Computer	Computer	NNP
work_ope6navdjndnnebvcd4hv3hj44	419	12	Science	Science	NNP
work_ope6navdjndnnebvcd4hv3hj44	419	13	at	at	IN
work_ope6navdjndnnebvcd4hv3hj44	419	14	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	419	15	University	University	NNP
work_ope6navdjndnnebvcd4hv3hj44	419	16	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	419	17	Porto	Porto	NNP
work_ope6navdjndnnebvcd4hv3hj44	419	18	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	419	19	Portugal	Portugal	NNP
work_ope6navdjndnnebvcd4hv3hj44	419	20	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	420	1	An	an	DT
work_ope6navdjndnnebvcd4hv3hj44	420	2	active	active	JJ
work_ope6navdjndnnebvcd4hv3hj44	420	3	researcher	researcher	NN
work_ope6navdjndnnebvcd4hv3hj44	420	4	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	420	5	machine	machine	NN
work_ope6navdjndnnebvcd4hv3hj44	420	6	learning	learning	NN
work_ope6navdjndnnebvcd4hv3hj44	420	7	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	420	8	data	datum	NNS
work_ope6navdjndnnebvcd4hv3hj44	420	9	mining	mining	NN
work_ope6navdjndnnebvcd4hv3hj44	420	10	for	for	IN
work_ope6navdjndnnebvcd4hv3hj44	420	11	more	more	JJR
work_ope6navdjndnnebvcd4hv3hj44	420	12	than	than	IN
work_ope6navdjndnnebvcd4hv3hj44	420	13	20	20	CD
work_ope6navdjndnnebvcd4hv3hj44	420	14	years	year	NNS
work_ope6navdjndnnebvcd4hv3hj44	420	15	,	,	,
work_ope6navdjndnnebvcd4hv3hj44	420	16	Dr.	Dr.	NNP
work_ope6navdjndnnebvcd4hv3hj44	420	17	Torgo	Torgo	NNP
work_ope6navdjndnnebvcd4hv3hj44	420	18	is	be	VBZ
work_ope6navdjndnnebvcd4hv3hj44	420	19	also	also	RB
work_ope6navdjndnnebvcd4hv3hj44	420	20	a	a	DT
work_ope6navdjndnnebvcd4hv3hj44	420	21	researcher	researcher	NN
work_ope6navdjndnnebvcd4hv3hj44	420	22	in	in	IN
work_ope6navdjndnnebvcd4hv3hj44	420	23	the	the	DT
work_ope6navdjndnnebvcd4hv3hj44	420	24	Laboratory	Laboratory	NNP
work_ope6navdjndnnebvcd4hv3hj44	420	25	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	420	26	Artificial	Artificial	NNP
work_ope6navdjndnnebvcd4hv3hj44	420	27	Intelligence	Intelligence	NNP
work_ope6navdjndnnebvcd4hv3hj44	420	28	and	and	CC
work_ope6navdjndnnebvcd4hv3hj44	420	29	Data	Data	NNP
work_ope6navdjndnnebvcd4hv3hj44	420	30	Analysis	Analysis	NNP
work_ope6navdjndnnebvcd4hv3hj44	420	31	(	(	-LRB-
work_ope6navdjndnnebvcd4hv3hj44	420	32	LIAAD	LIAAD	NNP
work_ope6navdjndnnebvcd4hv3hj44	420	33	)	)	-RRB-
work_ope6navdjndnnebvcd4hv3hj44	420	34	of	of	IN
work_ope6navdjndnnebvcd4hv3hj44	420	35	INESC	INESC	NNP
work_ope6navdjndnnebvcd4hv3hj44	420	36	Porto	Porto	NNP
work_ope6navdjndnnebvcd4hv3hj44	420	37	LA	LA	NNP
work_ope6navdjndnnebvcd4hv3hj44	420	38	.	.	.
work_ope6navdjndnnebvcd4hv3hj44	421	1	https://doi.org/10.1111/exsy.12169	https://doi.org/10.1111/exsy.12169	NNP