Table 3.

Cross-validation results.

Algorithm	Accuracy	Precision	Recall	f1-Score
Random Forest	92.47%	0.93	0.92	0.92
K nearest Neighbours	88.17%	0.89	0.88	0.88
Support Vector Machine	84.68%	0.86	0.85	0.85
Neural network model	90.05%	0.90	0.90	0.90
Ensemble Classifier	92.18%	0.92	0.92	0.92