Table 3.

Comparison between classification metrics of different models in With Feature Selection setting, i.e., Linear SVC + Select From Model.

	Model	Precision (%)	Recall (%)	F1-score (%)	ROC AUC score (%)
Machine Learning models	Multi-layer Perceptron	74	72	72.98	77.50
	K Nearest Neighbours	67	66	66.49	72.20
	Decision Tree	67	67	67.00	70.10
Deep learning model	DL Classifier	74	72	72.98	77.40
Ensemble Learning models	Voting—Hard classifier	73	71	71.98	71.70
	Voting—Soft classifier	71	70	70.49	75.70
	Random Forest	69	68	68.49	74.00
	AdaBoost	74	72	72.98	77.60