Table 3. Performance of machine learning algorithms for model 1.

	Accuracy %	Precision %	Recall %	F1-score %
LR	93.92	94.41	93.92	94.1
KNN	89.5	71.73	76.24	72.69
SVML	95.02	95.43	95.03	95.16
SVMK	92.82	92.99	92.82	92.88
NB	81.77	81.79	81.77	81.23
DT	92.26	92.3	92.27	92.28
RF	94.48	94.48	94.48	94.48
XGBOOST	93.36	92.75	92.82	92.76