Table 5. Naming of the models includes the feature selection method (GA) combined with the proposed Ensemble Subspace kNN classifier.

Validation results are presented at k = 10 fold cross validation.

	Results of 10-fold cross validation over 30 runs
		AUC	ORP FPR	ORP TPR	ACC	Mean std.	Rank
GA	Mean	0.776	0.296	0.833	0.781		4
	Std.	0.024	0.065	0.026	0.023	0.035
STAT	Mean	0.769	0.303	0.828	0.774		5
	Std.	0.022	0.057	0.023	0.021	0.031
GA+STAT	Mean	0.818	0.201	0.836	0.821		1
	Std.	0.021	0.027	0.021	0.020	0.022
PSA+GA+STAT	Mean	0.812	0.208	0.832	0.815		2
	Std.	0.020	0.031	0.018	0.019	0.022
PSA	Mean	0.698	0.217	0.609	0.692		6
	Std.	0.022	0.025	0.043	0.020	0.028
All features	Mean	0.812	0.213	0.836	0.815		3
	Std.	0.022	0.035	0.021	0.021	0.025