Table 2.

Predictive performance of classifiers constructed using single sequence features.

Features	AC (%)	SN (%)	SP (%)	ST (%)	MCC	ROC AUC
H	75.88	71.62	77.79	74.70	0.4728	0.8237
K	73.29	73.90	73.02	73.46	0.4402	0.7925
M	68.06	73.52	65.62	69.57	0.3629	0.7480
P	75.94	71.24	78.04	74.64	0.4718	0.8234
Co	70.18	71.62	69.53	70.58	0.3838	0.7586
A	76.41	74.29	77.36	75.82	0.4904	0.8206
B	78.18	74.48	79.83	77.15	0.5199	0.8503
C	72.18	71.05	72.68	71.86	0.4116	0.7847
Aa	79.12	76.57	80.26	78.41	0.5431	0.8459
Bu	82.06	75.62	84.94	80.28	0.5919	0.8777
S1	69.82	70.86	69.36	70.11	0.3756	0.7754
S2	70.24	72.19	69.36	70.78	0.3875	0.7665
S3	82.53	72.19	87.15	79.67	0.5922	0.8835
F	61.41	63.62	60.43	62.02	0.2226	0.6728
R	66.47	65.14	67.06	66.10	0.3008	0.7140
Mc	78.35	73.52	80.51	77.02	0.5202	0.8417
No	69.82	74.86	67.57	71.22	0.3944	0.7656
Rf	62.06	73.71	56.85	65.28	0.2831	0.6889
Rm	75.94	69.90	78.64	74.27	0.4672	0.8118
Tt	83.59	66.48	91.23	78.86	0.6035	0.8704