Classification Models for Early Detection of Prostate Cancer

Table 3

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 wherein the training data was balanced.

	Accuracy	F-score	AUC	SPS95
PDA	0.772 ± 0.034	0.809 ± 0.035	0.861	0.414
Log.Reg.	0.792 ± 0.03	0.834 ± 0.027	0.868	0.458
MLP	0.766 ± 0.027	0.787 ± 0.029	0.858	0.451
SVM	0.786 ± 0.038	0.816 ± 0.042	0.821	0.051
CART	0.755 ± 0.031	0.792 ± 0.029	0.841	0.376
KNN	0.726 ± 0.032	0.766 ± 0.034	0.801	0.297
Mixed	0.789 ± 0.033	0.830 ± 0.026	0.867	0.445