TABLE II. Evaluation Results of the ML Methods With an 80–20 Train–Test Split Technique on the Normalized Dataset.

Classifiers	F1	Precision	Recall	Accuracy	AUC
RF	92	93	93	93.33	0.89
Bernoulli NB	91	92	91	90.83	0.81
SVM	92	94	94	94.16	0.85