Table 4.

Performance of the machine learning models.

Algorithms/Metrics	Accuracy	Precision	Recall	F-Score
SVC	0.902	0.825	0.840	0.832
Extra trees classifier	0.935	0.897	0.877	0.876
Random forest classifier	0.931	0.871	0.895	0.883
Gradient boosting classifier	0.866	0.723	0.870	0.789
MLP classifier	0.873	0.745	0.855	0.796