The predictive performance of short-linear motif features in the prediction of calmodulin-binding proteins

BMC Bioinformatics

Table 4 Classification results for the score matrices with SLiMs obtained from SM using FS

Dataset for classification	# features	Classifier	Accuracy (%)	MCC	ROC Area
S score matrix		SVM-Polynomial (c=1,g=0)	66.1	0.33	0.66
	7	RF	77.8	0.56	0.83
		k-NN (k=1)	77.0	0.54	0.77
T score matrix		SVM-Polynomial (c=1,g=0)	53.0	0.09	0.53
	9	RF	69.3	0.38	0.75
		k-NN (k=1)	66.4	0.33	0.66

ISSN: 1471-2105