Journal of Big Data

Table 3 Performance comparison of deep learning and machine learning algorithms on Chr 22 WGS data set

From: Application of deep learning technique in next generation sequence experiments

	XGBoost					LightGBM					Deep learning
	Accuracy	AUC	Recall	Precision	F-Score	Accuracy	AUC	Recall	Precision	F-Score	Accuracy	AUC	Recall	Precision	F-Score
\(\overline{X }\)	0.5760	0.5743	0.5613	0.5695	0.5635	0.5250	0.5403	0.5441	0.5780	0.5680	0.6045	0.5979	0.6096	0.6168	0.6141
\(\widetilde{X}\)	0.5760	0.5740	0.5610	0.5695	0.5630	0.5250	0.5410	0.5440	0.5780	0.5682	0.6040	0.5980	0.6090	0.6170	0.6140
Std Dev	0.0018	0.0092	0.0035	0.0015	0.0021	0.0029	0.0095	0.0061	0.0067	0.0007	0.0044	0.0064	0.0060	0.0177	0.0104
Min	0.5730	0.5590	0.5550	0.5670	0.5600	0.5200	0.5230	0.5340	0.5670	0.5670	0.5970	0.5870	0.6000	0.5870	0.5970
Max	0.5790	0.5900	0.5670	0.5720	0.5670	0.5300	0.5560	0.5550	0.5900	0.5690	0.6120	0.6090	0.6200	0.6480	0.6320

\(\overline{X }\), mean; \(\widetilde{X}\), median; Std Dev, standard deviation; Min, minimum; Max, maximum

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