Table 1.

Performance metrics for proposed techniques with various classifiers

Proposed techniques with classifiers	Evaluation metrics
	Accuracy	Precision	Recall	ROC Curve
D-SMOTE + LR	0.8013	0.7812	0.7049	0.8309
D-SMOTE + DT	0.8699	0.8427	0.8133	0.8827
D-SMOTE + BOOSTING	0.6529	0.6379	0.6252	0.6756
D-SMOTE + RF	0.9018	0.8817	0.8723	0.9102
BP-SMOTE + LR	0.8261	0.7973	0.7206	0.8610
BP-SMOTE + DT	0.8713	0.8532	0.8301	0.8942
BP-SMOTE + BOOSTING	0.6681	0.6482	0.6407	0.6893
BP-SMOTE + RF	0.9204	0.8932	0.8816	0.9196