Table 3. Results on independent tests.

Testing	Training	Method	Evaluation Metrics
			Sn	Sp	ACC	MCC	AUC
Intron	intron	RF	0.8229	0.9544	0.8887	0.7841	0.9458
		SVM	0.8362	0.9297	0.8830	0.7693	0.9333
		KNN	0.4981	0.5067	0.5024	0.0047	0.8268
		LR	0.7752	0.9562	0.8658	0.7439	0.9366
	exon	RF	0.4667	0.9924	0.7298	0.5398	0.8794
		SVM	0.4133	0.9962	0.7050	0.5042	0.9021
		KNN	0.4971	0.5010	0.4990	-0.0019	0.6256
		LR	0.2514	1	0.6261	0.3794	0.8934
	combine	RF	0.6019	0.9848	0.7935	0.6353	0.9253
		SVM	0.8398	0.8328	0.8363	0.6726	0.9096
		KNN	0.4981	0.5067	0.5024	0.0047	0.7977
		LR	0.3505	1	0.6755	0.4611	0.8886
Exon	intron	RF	1	0.0012	0.5006	0.0244	0.8412
		SVM	0.9990	0.0310	0.5150	0.1195	0.6938
		KNN	0.4983	0.5027	0.5005	0.0010	0.5459
		LR	0.9989	0.0258	0.5123	0.1072	0.8309
	exon	RF	0.8584	0.8245	0.8414	0.6833	0.9165
		SVM	0.8401	0.8419	0.8410	0.6820	0.9151
		KNN	0.4992	0.5014	0.5003	0.0006	0.8001
		LR	0.7421	0.8951	0.8186	0.6448	0.9081
	combine	RF	0.8568	0.8247	0.8407	0.6819	0.9141
		SVM	0.8398	0.8328	0.8363	0.6726	0.9096
		KNN	0.4994	0.5009	0.5001	0.0003	0.7980
		LR	0.7349	0.8906	0.8128	0.6333	0.9015
Combine	intron	RF	0.9921	0.0444	0.5182	0.1144	0.8270
		SVM	0.4983	0.5028	0.5006	0.0012	0.5555
		KNN	0.9884	0.0686	0.5285	0.1455	0.8165
		LR	0.9914	0.0723	0.5318	0.1618	0.6955
	exon	RF	0.8320	0.8390	0.8355	0.6710	0.9110
		SVM	0.8142	0.8478	0.8310	0.6624	0.9055
		KNN	0.4993	0.5009	0.5009	0.0002	0.7908
		LR	0.7045	0.9024	0.8034	0.6191	0.8968
	combine	RF	0.8463	0.8326	0.8395	0.6790	0.9126
		SVM	0.8294	0.8394	0.8344	0.6689	0.9077
		KNN	0.4994	0.5011	0.5004	0.0005	0.7979
		LR	0.7173	0.8956	0.8065	0.6229	0.8979