Table 3.

Prediction AUCs based on various dimensions of LDA, RF and SVM.

	LDA	RF	SVM
RACR	0.867	0.780	0.822
RCR	0.945	0.841	0.908
SD	0.689	0.623	0.662
DC	0.724	0.615	0.716
P	0.651	0.631	0.671
AP	0.675	0.574	0.618
DP	0.787	0.666	0.749
PP	0.604	0.635	0.548
PVP	0.693	0.768	0.591
Multi_static	0.853	0.642	0.817

Multi_static refers to the feature set analysis of multiple series.