Table 7.

Classification accuracy of machine learning classifiers using 15 most important features.

Model	Chi2	SVD	PCA
RF	0.94	0.92	0.92
SVM	0.92	0.93	0.93
GBM	0.91	0.90	0.90
LR	0.92	0.91	0.92
MLP	0.95	0.96	0.96
KNN	0.96	0.93	0.95