Table 3. Accuracy, precision, recall and F1-scores for different classification methods employed in this study.

The scores are sorted in descending order based on the F1-score value and ranked them in ascending order.

Method name	Accuracy	Precision	Recall	F1-score	Rank (F1-score)
ANN	0.9587	0.957	0.959	0.957	1
CatBoost	0.9538	0.9550	0.9538	0.9538	2
XGBoost	0.9533	0.9539	0.9533	0.9532	3
Random forest	0.9479	0.9498	0.9479	0.9479	4
LightGBM	0.9456	0.9475	0.9456	0.9455	5
Decision tree	0.9432	0.9446	0.9432	0.9431	6
Extra-trees	0.9107	0.9184	0.9107	0.9102	7
SVC	0.8959	0.8964	0.8959	0.8958	8
KNN	0.8621	0.8710	0.8621	0.8613	9
GaussianNB	0.6509	0.7646	0.6509	0.6089	10