On the Variability of Neural Network Classification Measures in the Protein Secondary Structure Prediction Problem

Table 1

Ranking results for the linear network where 𝑖 represents the test vector index and 𝜌₁(𝑥) and 𝜌₁(𝑥) represent the distance with respect to the helix class vectors 𝑒₁ and 𝑒₁̃. Out of 1800 vectors tested, vectors referred to in this table were ranked from 1 to 20.

𝑖ℰ	𝜌1(𝑥)	𝑖ℰ	𝜌1(𝑥)
1205	0.0780	1205	0.1170
42	0.0867	42	0.1300
1031	0.0976	1031	0.1464
1773	0.1113	1773	0.1670
598	0.1238	598	0.1857
1761	0.1267	1761	0.1900
862	0.1354	862	0.2031
1073	0.1409	1073	0.2114
277	0.1459	277	0.2188
115	0.1540	115	0.2309
1505	0.1821	1505	0.2731
392	0.1839	392	0.2759
1421	0.1904	1421	0.2856
147	0.2001	147	0.3001
990	0.2044	990	0.3066
1457	0.2127	1457	0.3191
1288	0.2150	1288	0.3225
352	0.2160	352	0.3239
1232	0.2198	1232	0.3297
280	0.2311	280	0.3466