Predicting RNA 5-Methylcytosine Sites by Using Essential Sequence Features and Distributions

Table 2

Performance of models based on different classification algorithms for predicting human m⁵C sites.

Classification algorithm	Number of features	SN	SP	ACC	MCC	Precision	-measure
Decision tree	15	0.767	0.808	0.788	0.576	0.800	0.783
-nearest neighbor	84	0.683	0.925	0.804	0.627	0.901	0.777
Random forest	543	0.875	0.867	0.871	0.742	0.868	0.871
Support vector machine	114	0.825	0.958	0.892	0.790	0.952	0.884