Table 5.

Evaluation of performance metrics of the proposed model.

Model	Precision (%)	Recall (%)	F1-Score (%)	Accuracy (%)
Logistic regression	76	74	75	77
Support vector machines	86	70	71	77
Decision tree	83	60	57	69
Random forest	90	80	82	85
Gradient tree boosting	86	70	71	77
K-nearest neighbor	76	74	75	76
Naive bayes	76	74	75	76
Proposed model	94	90	92	92