Table 4.

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

	LDA	RF	SVM
RACR	0.737	0.684	0.737
RCR	0.855	0.803	0.803
SD	0.658	0.605	0.632
DC	0.645	0.592	0.618
P	0.605	0.645	0.618
AP	0.605	0.540	0.553
DP	0.737	0.658	0.645
PP	0.592	0.526	0.526
PVP	0.618	0.763	0.526
Multi_static	0.763	0.592	0.724

Where Multi_static refers to the feature set analysis of multiple series.