Table 7.

Performance comparison of different machine learning algorithms

Algorithm	Accuracy	Specificity	Precision	Recall	RMSE	MAE
Decision tree	0.7391	0.8149	0.7481	0.7236	0.41	0.31
Random forest	0.7366	0.8367	0.7761	0.7748	0.43	0.39
SVM	0.8149	0.8755	0.8754	0.8112	0.51	0.25
ANN	0.8988	0.9041	0.9355	0.8565	0.4	0.27
Proposed	0.9323	0.9574	0.9524	0.9205	0.32	0.23