SABinder: A Web Service for Predicting Streptavidin-Binding Peptides

Table 3

The prediction performances of various machine learning methods.

Machine learning methods	Sn (%); (mean ± std)	Sp (%); (mean ± std)	Acc (%); (mean ± std)	MCC; (mean ± std)
Support vector machine	84.72 ± 2.19	93.67 ± 1.87	89.20 ± 1.23	0.79 ± 0.02
Naïve Bayes	78.85 ± 3.90	77.40 ± 1.73	78.11 ± 2.47	0.56 ± 0.05
Random Forest	84.80 ± 2.30	88.00 ± 5.22	86.41 ± 2.41	0.73 ± 0.05
Decision Tree J48	76.90 ± 1.10	88.24 ± 4.31	82.57 ± 2.00	0.66 ± 0.04
RBF network	79.00 ± 4.18	78.50 ± 2.33	78.74 ± 2.57	0.58 ± 0.05
Logistic Function	76.40 ± 3.22	67.83 ± 3.82	72.11 ± 3.23	0.44 ± 0.06

Std: standard deviation.