Table 3.

Training Results for the ML Models.

	F1-Score	Accuracy	Precision	Recall
K-NN
SMOTE	0.667	0.721	0.573	0.796
KNN	0.612	0.753	0.682	0.556
PCA	0.471	0.649	0.500	0.444
DT
DT	0.602	0.708	0.576	0.630
SMOTE	0.590	0.721	0.608	0.574
PCA	0423	0.610	0.440	0.407
LR
SMOTE	0.555	0.694	0.597	0.727
LR	0.513	0.698	0.612	0.672
PCA	0.485	0.594	0.530	0.648
BNB
SMOTE	0.677	0.692	0.479	0.772
BNB	0.387	0.461	0.528	0.662
PCA	0.529	0.539	0.582	0.597
SVM
SMOTE	0.56	0.701	0.588	0.717
SVM	0.53	0.670	0.618	0.689
PCA	0.461	0.628	0.539	0.462