Table 7.

Comparison of different classifiers ($MS2$ test dataset; Second Layer).

Modalities used	Precision	Recall	Accuracy	F1-score	AUC
SVM	81.82	75.00	79.59	79.64	0.867
KNN	83.33	83.33	83.67	83.66	0.869
DT	85.71	75.00	81.63	81.82	0.850
NB	84.00	84.00	83.67	83.67	0.907
RF (our model)*	87.50	87.50	87.76	87.75	0.953

Asterisk ( ∗): is the model with the best predictive performance.