Table 4.

Comparison between classification metrics of different models in With Feature Selection setting, i.e., Linear SVC + Extra Trees classifier.

	Model	Precision (%)	Recall (%)	F1-score (%)	ROC AUC score (%)
Machine Learning models	Multi-layer Perceptron	75	72	73.46	77.30
	K Nearest Neighbours	66	66	66.00	72.60
	Decision Tree	70	69	69.49	73.80
Deep learning model	DL Classifier	75	71	72.94	77.30
Ensemble learning models	Voting—hard classifier	73	71	71.98	71.00
	Voting—soft classifier	72	70	70.98	76.20
	Random Forest	71	70	70.49	74.90
	AdaBoost	74	71	72.46	77.30