Table 6.

Performance metrics for MAHNOB (the average performance results for training and testing on different subjects).

Model	Accuracy	Precision	Recall	F-Measure
SVM (Linear)	0.34	0.47	0.34	0.37
SVM (poly)	0.36	0.70	0.37	0.42
SVM (rbf)	0.41	0.53	0.42	0.45
Random Forest	0.64	0.65	0.65	0.65
Naive Bayes	0.27	0.43	0.27	0.33
K-NN	0.72	0.73	0.73	0.72
Proposed CNN	0.78	0.78	0.78	0.78