. Author manuscript; available in PMC: 2012 Jun 1.

Published in final edited form as: Proteins. 2011 Apr 12;79(6):1952–1963. doi: 10.1002/prot.23020

Table III.

Performances of the six residue features used by the SVM classifier. These features were selected, first as having the highest linear classifier AUC values within their groups and then as the optimal subset of the latter. The complete set of the features appears in the supplementary material (TableS4).

Feature	p-Value KS	p-Value WR	Linear Classifier AUC
*brl0.0010_10Z*	3.97E-32	0.00E+00	0.859
*CatalyticP*	3.03E-21	0.00E+00	0.789
*Hydrophobicity*	1.17E-14	3.65E-12	0.699
*Temperature_0.01Z*	3.38E-08	5.65E-09	0.668
*Angle_0.1Z*	4.66E-07	7.89E-08	0.654
*Solvation_0.01Z*	1.83E-05	3.33E-06	0.633

p-values of the Kolmogorov-Smirnov (KS) and Wilcoxon rank-sum (WR) statistical comparison tests, along with values of AUC of linear classifiers discriminating residues, are reported for each of thirteen feature group representatives. The rows are sorted in descending order according to AUC. The KS test statistic can be found in TableS4 of the supplementary material.