ML model	precision			Recall			F1-score			ACC
ML model	N	S	P	N	S	P	N	S	P	ACC
AdaBoost	0.961	0.569	0.906	0.892	0.824	0.873	0.925	0.673	0.889	0.881
CatBoost	0.974	0.785	0.962	0.964	0.859	0.909	0.969	0.820	0.935	0.945
Decision Tree	0.959	0.694	0.902	0.942	0.800	0.836	0.950	0.743	0.868	0.914
Gradient Boosting	0.977	0.752	0.927	0.946	0.894	0.927	0.961	0.817	0.927	0.937
KNN	0.962	0.526	0.880	0.871	0.847	0.800	0.915	0.649	0.838	0.862
Random Forest	0.981	0.736	0.980	0.948	0.918	0.909	0.964	0.817	0.943	0.940
SVM	0.979	0.480	0.634	0.823	0.835	0.818	0.894	0.609	0.714	0.824
XGBoost	0.982	0.882	0.946	0.980	0.882	0.964	0.981	0.882	0.955	0.966