TABLE 3.

Number of victories of each classifier in the significant multiple comparisons for each number of feature condition.

	Number of features
Algorithm	100%	70%	50%	30%	10%
SVC	5	5	3	0	4
GNB	12	16	16	13	2
RF	40	40	39	31	27
kNN	54	58	61	50	50
LR	53	48	41	31	6
LDA	34	38	35	27	3
DT	36	37	34	28	5
Number of significant multiple comparisons	234	242	229	180	97
X2	63.53	57.72	63.50	57.38	142.51
P	<0.0001	<0.0001	<0.0001	<0.0001	<0.0001