Table 13.

k-Fold cross-validation by all feature selection techniques.

Models	Actual Features	PCA Features	SVD Features	Chi2 Features
RF	0.94 (±0.04)	0.97 (±0.03)	0.96 (±0.03)	0.97 (±0.04)
SVM	0.94 (±0.03)	0.98 (±0.02)	0.97 (±0.04)	0.97 (±0.03)
GBM	0.93 (±0.04)	0.93 (±0.03)	0.94 (±0.03)	0.94 (±0.03)
LR	0.94 (±0.03)	0.98 (±0.02)	0.96 (±0.02)	0.97 (±0.02)
KNN	0.94 (±0.03)	0.97 (±0.03)	0.96 (±0.02)	0.96 (±0.02)