id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_viehff56qvdjrhuqk3pach75ge	Franco Garrido	A Robust profit measure for binary classification model evaluation	2018	22	.pdf	application/pdf	8202	778	70	Using profit-based evaluation measures is a necessity in businessoriented contexts, as they aid companies in making cost-optimal decisions. Among the measures that effectively include the true nature of costs and benefits in binary classification, the expected maximum profit (EMP) has been used successfully for churn prediction frequently used measures, the EMP relies on a fixed probability distribution of costs and benefits, the range of which in real applications This paper is structured as follows: in Section 2, we describe the state-ofthe-art profit-based performance measures for evaluating classification models. (2012), which is the first measure in the MP framework, considers the different costs of classification and at the same time facilitates the obtaining of the optimal cut-off value to be applied when operating The MP measure is designed as a profit-based function, in which the parameters b0 and c0 (b1 and c1) are, respectively, the benefit and cost associated	./cache/work_viehff56qvdjrhuqk3pach75ge.pdf	./txt/work_viehff56qvdjrhuqk3pach75ge.txt