Table 4.

Train test split results.

Algorithm	Accuracy	Precision	Recall	f1-Score
Random Forest	96.70%	0.97	0.97	0.972
K nearest Neighbours	90.71%	0.91	0.91	0.91
Support Vector Machine	81.77%	0.87	0.82	0.82
Neural network model	93.40%	0.94	0.93	0.93
Ensemble Classifier	93.83%	0.94	0.94	0.94