A feature selection method for classification within functional genomics experiments based on the proportional overlapping score

BMC Bioinformatics

Table 5 The minimum error rates yielded by k Nearest Neighbor classifier with feature selection methods along‐with the classification error without selection

Dataset	ISIS	Wil‐RS	mRMR	MP	POS	Full set
Leukaemia	0.064 (1)	0.074 (6)	0.135 (50)	0.019 (1)	0.005 (1)	0.109
Breast	0.385 (4)	0.405 (11)	0.404 (50)	0.346 (19)	0.332 (11)	0.405
Srbct	0.105 (2.63)	0.157 (3)	0.098 (48)	0.005 (26)	0.005 (22)	0.034
Lung	0.030 (3.26)	0.203 (12)	0.027 (49)	0.017 (17)	0.011 (12)	0.0005
GSE24514	0.074 (1.96)	0.032 (20)	0.041 (50)	0.036 (50)	0.039 (50)	0.041
GSE4045	0.239 (1.47)	0.066 (43)	0.207 (38)	0.137 (50)	0.142 (3)	0.103
GSE14333	0.425 (9)	0.420 (8)	‐	0.455 (23)	0.450 (34)	0.438
GSE27854	0.432 (5)	0.420 (3)	‐	0.454 (13)	0.420 (6)	0.464

The numbers in brackets represent the size, average size for ISIS method, of the gene set that corresponding to the minimum error rate. Boldface numbers indicate the lowest error rate (the highest accuracy) among the compared methods for the corresponding datasets.