Journal of Big Data

Table 2 Performance comparison of deep learning and machine learning algorithms on ART simulation 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
\(\overline{X }\)	0.6987	0.707	0.6777	0.6957	0.6846	0.6258	0.651	0.6473	0.6265	0.6289	0.8014	0.8067	0.7846	0.7946	0.7866
\(\widetilde{X}\)	0.699	0.708	0.678	0.695	0.684	0.625	0.65	0.647	0.627	0.629	0.8020	0.8060	0.7840	0.7940	0.7860
Std Dev	0.0081	0.0141	0.0093	0.0119	0.013	0.0096	0.0145	0.0093	0.0087	0.002	0.0386	0.0455	0.0468	0.0468	0.0468
Min	0.685	0.682	0.662	0.676	0.663	0.61	0.627	0.632	0.611	0.626	0.7360	0.7280	0.7040	0.7140	0.7060
Max	0.712	0.731	0.693	0.717	0.708	0.643	0.677	0.664	0.641	0.633	0.8690	0.8840	0.8650	0.8750	0.8670

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

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