Table 2. Comparison of the evaluation metrics with the existing predictors on the benchmark datasets.

Predictors	Benchmark Datasets
	SC_628				HS_990				MM_944
	AC(%)	SN(%)	SP(%)	MCC	AC(%)	SN(%)	SP(%)	MCC	AC(%)	SN(%)	SP(%)	MCC
iRNA-PseU [12]	64.49	64.65	64.33	0.29	60.40	61.01	59.80	0.21	69.07	73.31	64.83	0.38
PseUI [13]	65.13	62.74	67.52	0.30	64.24	64.85	63.64	0.28	70.44	74.58	66.31	0.41
iPseU-CNN [14]	68.15	66.84	69.45	0.37	66.68	65.0	68.78	0.34	71.81	74.79	69.11	0.44
XGboost [15]	68.15	66.84	69.45	0.37	65.44	63.64	67.24	0.31	72.03	76.48	67.57	0.45
iPseU-Layer [16]	89.34	84.68	93.76	0.79	79.70	71.18	88.22	0.60	80.08	77.92	81.82	0.60
ours(General)	81.50	76.0	87.0	0.61	77.0	79.5	74.5	0.53	80.50	86.0	75.0	0.55
ours(merged-seq)	85.85	88.29	83.37	0.72	78.83	85.61	72.07	0.59	77.23	76.62	77.60	0.54