Table 3.

Performance under independent test.

Mode	Training data	Testing data	Method	Evaluation metrics
				Sn	Sp	ACC	MCC	AUC
Full transcript	lncRNA	lncRNA	RF	0.922	0.930	0.926	0.853	0.966
			SVM	0.903	0.934	0.919	0.838	0.963
			KNN	0.500	0.500	0.500	0.000	0.942
			LR	0.895	0.926	0.911	0.822	0.959
			XGBoost	0.922	0.903	0.913	0.826	0.947
	lncRNA	mRNA	RF	0.981	0.046	0.514	0.077	0.759
			SVM	0.984	0.051	0.518	0.098	0.678
			KNN	0.499	0.501	0.500	0.000	0.572
			LR	0.954	0.171	0.562	0.200	0.716
			XGBoost	0.908	0.250	0.579	0.209	0.697
	mRNA	lncRNA	RF	0.752	0.934	0.843	0.698	0.936
			SVM	0.744	0.899	0.822	0.651	0.905
			KNN	0.492	0.508	0.500	0.000	0.703
			LR	0.539	0.953	0.746	0.541	0.872
			XGBoost	0.721	0.891	0.806	0.622	0.869
	mRNA	mRNA	RF	0.846	0.833	0.839	0.679	0.913
			SVM	0.829	0.839	0.834	0.669	0.908
			KNN	0.499	0.501	0.500	0.001	0.798
			LR	0.717	0.896	0.806	0.623	0.898
			XGBoost	0.831	0.832	0.832	0.664	0.907
Mature RNA	lncRNA	lncRNA	RF	0.766	0.694	0.730	0.461	0.821
			SVM	0.712	0.689	0.700	0.401	0.789
			KNN	0.500	0.500	0.500	0.000	0.734
			LR	0.590	0.802	0.696	0.401	0.797
			XGBoost	0.757	0.703	0.730	0.460	0.784
	lncRNA	mRNA	RF	0.757	0.522	0.639	0.287	0.705
			SVM	0.814	0.424	0.619	0.258	0.717
			KNN	0.493	0.508	0.501	0.002	0.520
			LR	0.804	0.472	0.638	0.292	0.660
			XGBoost	0.652	0.527	0.590	0.181	0.615
	mRNA	lncRNA	RF	0.788	0.608	0.698	0.403	0.807
			SVM	0.761	0.631	0.696	0.395	0.774
			KNN	0.500	0.500	0.500	0.000	0.542
			LR	0.419	0.838	0.628	0.283	0.653
			XGBoost	0.694	0.694	0.694	0.387	0.749
	mRNA	mRNA	RF	0.858	0.825	0.841	0.683	0.916
			SVM	0.840	0.842	0.841	0.682	0.915
			KNN	0.499	0.501	0.500	0.001	0.800
			LR	0.742	0.895	0.819	0.645	0.908
			XGBoost	0.831	0.832	0.832	0.664	0.907