Table 3.

Comparison between different ML algorithms

	Average PR	AUC PR	ROC AUC	Accuracy	F1	MCC
Random forest	0.888	0.885	0.945	0.881	0.829	0.747
SVM classifier	0.912	0.908	0.943	0.886	0.822	0.741
Logistic regression	0.910	0.906	0.945	0.896	0.821	0.758
Naive Bayes classifier	0.919	0.918	0.952	0.891	0.841	0.765
LightGBM	0.957	0.956	0.974	0.927	0.881	0.832