id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_c5ljkxxrgja5rfhpbw3y2kkwnq	Javier Izetta	Improved multiclass feature selection via list combination	2017	33	.pdf	application/pdf	11377	2707	82	Granitto, Improved multiclass feature selection via list combination, Expert Systems With Applications (2017), doi: • We introduce new SVM-RFE feature selection methods for multiclass Feature Selection, Multiclass problems, Support Vector Machine Most methods available for feature selection on multiclass problems38 problem has been divided into multiple binary ones, the feature selection73 feature selection for multiclass classification problems. Table 1: List of ranked features for each binary problem. row shows the position of each feature in the ranking produced for the binary problem shown on each column. feature over all binary problems, and then using it to elaborate a final ranking159 Table 2: Matrix showing the position of each feature in the ranking of each binary problem. In this method, feature ranking is given by the average value of the relative162 where Ri is the ranking of feature fi in the final ordered list, used to select164 On the Artificial-3 datasets (all relevant features are useful for all classes)353	./cache/work_c5ljkxxrgja5rfhpbw3y2kkwnq.pdf	./txt/work_c5ljkxxrgja5rfhpbw3y2kkwnq.txt