Table 2.

Comparison of the mean prediction accuracy for different binary classifiers on all the recorded sessions

Classifiers	Feature Vectors
	4-Metrics	3-Criticality metrics	DCC	BR	SC error	H/M ratio
Logistic Regression	0.8734	0.7215	0.7215	0.7215	0.7215	0.8861
SVM	0.962	0.7932	0.7296	0.7342	0.7253	0.9241
Random Forest	0.9821	0.9241	0.8043	0.8261	0.8043	0.9565