Classification Models for Early Detection of Prostate Cancer

Table 2

The average performance of several classifier ensembles with respect to the validation set which was initially removed and never included in model training. We show the mean and the standard deviation values from 20 independent validation runs, no preprocessing was used.

	Accuracy	F-score	AUC	SPS95
PDA	0.776 ± 0.026	0.823 ± 0.026	0.863	0.454
Log.Reg.	0.778 ± 0.038	0.823 ± 0.036	0.868	0.484
MLP	0.791 ± 0.045	0.823 ± 0.04	0.863	0.453
SVM	0.795 ± 0.023	0.833 ± 0.02	0.825	0.142
CART	0.757 ± 0.03	0.809 ± 0.026	0.843	0.394
KNN	0.756 ± 0.036	0.813 ± 0.032	0.809	0.309
Mixed	0.783 ± 0.03	0.828 ± 0.026	0.860	0.457