Skip to main content
. Author manuscript; available in PMC: 2018 Jul 1.
Published in final edited form as: Drug Discov Today. 2017 Mar 6;22(7):994–1007. doi: 10.1016/j.drudis.2017.02.004

Table 4.

VS performance of the LSSVM ensemble classifier used as a VS tool

Overall enrichment (AUAC)
Min. 0.6389
Mean 0.6395
Max. 0.6402
Std. Dev. 0.0003
Local enrichment (EF)
Top 1 % Top 2% Top 3% Top 4% Top 5% Top 8% Top 10% Top 15% Top 20%
Min. 16.29 8.28 5.55 4.14 3.32 2.08 2.50 1.66 2.08
Mean 16.29 8.28 5.55 4.14 3.32 2.08 2.50 1.66 2.08
Max. 16.29 8.28 5.55 4.14 3.32 2.08 2.50 1.66 2.08
Std. Dev. ,0.0000000001
Early recognition (BEDROC)
Top 1 % Top 2% Top 3% Top 4% Top 5% Top 8% Top 10% Top 15% Top 20%
Min. 0.0587 0.0993 0.1187 0.1309 0.1404 0.1652 0.1810 0.2196 0.2562
Mean 0.1134 0.1357 0.1455 0.1520 0.1579 0.1767 0.1903 0.2259 0.2611
Max. 0.1915 0.1794 0.1757 0.1752 0.1766 0.1886 0.1999 0.2324 0.2660
Std. Dev. 0.0287 0.0174 0.0124 0.0096 0.0079 0.0051 0.0041 0.0028 0.0021