Table 3 Comparison among five classification algorithms (Alg.) in terms of percentage scores (%) and standard deviations (σ) of five statistical measures

From: nRC: non-coding RNA Classifier based on structural features

Alg.	Accuracy			Sensitivity			Specificity			Precision			F-score			MCC
	%	σ		%	σ		%	σ		%	σ		%	σ		%	σ
CNN	74.69	0.013		74.13	0.010		97.89	0.001		74.09	0.010		74.11	0.010		72.59	0.10
RF	56.60	1.544		56.50	1.539		96.41	0.001		55.69	0.019		56.10	0.037		52.4	0,16
NB	47.31	1.837		48.98	1.844		95.61	0.001		46.80	0.019		47.87	0.037		43.4	0.16
kNN	54.70	1.609		59.17	1.783		96.28	0.001		54.26	0.018		56.61	0.035		51.2	0.15
SVM	67.36	1.991		67.47	1.855		97.11	0.001		73.92	0.673		67.76	0.019		63.1	0.16

For each algorithm, the number of input features providing the best scores has been considered. The results are averaged over cross-validation experiments

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