Table 4. Performance of machine learning algorithms for model 2.

	Accuracy %	Precision %	Recall %	F1-score %
LR	65.42	60.67	60.22	59.14
KNN	64.57	56.85	56.91	56.85
SVML	64.64	65.75	64.64	63.54
SVMK	64.09	65.24	64.09	62.90
NB	62.08	57.93	57.46	55.66
DT	62.98	63.50	62.98	62.18
RF	63.54	63.91	63.54	62.92
XGBOOST	64.03	65.74	65.19	64.55