Table 4 Performance of the models—With Bagging.

Bagging	Class	Count	TP	TN	FN	FP		Precision	Recall	F1
With DT	HR	272	237	700	42	35		0.849462366	0.871323529	0.860254083
	LR	406	323	499	109	83		0.747685185	0.795566502	0.770883055
	MR	336	205	580	98	131		0.676567657	0.610119048	0.641627543
	Total	1014	765	1779	249	249	Overall →	0.75443787	0.75443787	0.75443787
							Weighted →	0.75142079	0.75443787	0.75202612
With RF	HR	272	242	717	25	30		0.906367041	0.889705882	0.897959184
	LR	406	335	515	93	71		0.782710	0.825123153	0.803357314
	MR	336	235	594	84	101		0.736677	0.699404762	0.717557252
	Total	1014	812	1826	202	202	Overall →	0.800789	0.800789	0.800789
							Weighted →	0.800626943	0.800788955	0.800302963
With GBT	HR	272	248	712	30	24		0.892086331	0.911764706	0.901818182
	LR	406	331	567	41	75		0.889784946	0.815270936	0.850899743
	MR	336	283	597	81	53		0.777472527	0.842261905	0.808571429
	Total	1014	862	1876	152	152	Overall →	0.850098619	0.850098619	0.850098619
							Weighted →	0.853186331	0.850098619	0.850532388
With KNN	HR	272	201	185	35	71		0.851694915	0.738970588	0.791338583
	LR	406	296	316	121	110		0.709832134	0.729064039	0.719319563
	MR	336	226	294	135	110		0.626038781	0.672619048	0.648494
	Total	1014	723	795	291	291	Overall →	0.713017751	0.713017751	0.713017751
							Weighted →	0.720120211	0.713017751	0.715169297

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