CirBiTree: Citrullination Site Inference Based on a Fuzzy Neural Network and Flexible Neural Tree

Table 3

The performances of different features in length 17.

Features	Sn (%)	Sp (%)	F1	MCC
Binary encoding	55.51	74.89	0.6146	0.3099
AA composition	64.63	62.28	0.6388	0.2691
Grouping AA composition	71.63	71.39	0.7154	0.4301
Physicochemical properties	74.88	72.33	0.7394	0.4723
KNN features	73.69	64.62	0.7049	0.3847
Secondary tendency structure	69.52	76.49	0.7203	0.4612
PSSM	70.44	77.23	0.7291	0.4778
BPB	72.52	76.99	0.7418	0.4956
Proposed algorithm	80.09	78.86	0.7960	0.5896