Table 5 Performance of the models—With Boosting.

Boosting	Class	Count	TP	TN	FN	FP		Precision	Recall	F1
With DT	HR	272	235	699	43	37		0.845323741	0.863970588	0.854545455
	LR	406	322	497	111	84		0.743649	0.793103448	0.767580453
	MR	336	207	582	96	129		0.683168	0.616071429	0.647887324
	Total	1014	764	1778	250	250	Overall →	0.753452	0.753452	0.753452
							Weighted →	0.750881746	0.75345168	0.751246714
With RF	HR	272	244	715	27	28		0.900369004	0.897058824	0.898710866
	LR	406	344	514	94	62		0.785388128	0.84729064	0.815165877
	MR	336	233	606	72	103		0.763934426	0.693452381	0.72698908
	Total	1014	821	1835	193	193	Overall →	0.809664694	0.809664694	0.809664694
							Weighted →	0.809122205	0.80966469	0.80835802
With GBT	HR	272	252	714	28	20		0.9	0.926470588	0.913043478
	LR	406	329	564	44	77		0.882037534	0.810344828	0.844672657
	MR	336	278	595	83	58		0.770083102	0.827380952	0.797704448
	Total	1014	859	1873	155	155	Overall →	0.847140039	0.847140039	0.847140039
							Weighted →	0.849758541	0.84714004	0.847449329
With KNN	HR	272	203	190	40	69		0.835390947	0.746323529	0.788349515
	LR	406	296	316	126	110		0.701421801	0.729064039	0.714975845
	MR	336	220	293	129	116		0.630372493	0.654761905	0.642336
	Total	1014	719	799	295	295	Overall →	0.709072978	0.709072978	0.709072978
							Weighted →	0.713815332	0.70907298	0.710587849

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