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Table 1 Comparison of ROC n statistics for different methods (see Methods for definition).

From: Ensemble approach to predict specificity determinants: benchmarking and validation

Methods ROC100 ROC200 ROC500 ROC1000 ROC3000
SPEER 0.12 ± 0.009 0.22 ± 0.014 0.40 ± 0.011 0.54 ± 0.009 0.80 ± 0.005
GroupSim 0.08 ± 0.011 0.20 ± 0.013 0.36 ± 0.011 0.53 ± 0.009 0.78 ± 0.005
MultiRELIEF 0.11 ± 0.010 0.16 ± 0.009 0.32 ± 0.014 0.50 ± 0.011 0.78 ± 0.006
SDPpred 0.04 ± 0.005 0.08 ± 0.008 0.22 ± 0.008 0.33 ± 0.005 0.70 ± 0.007
SPEL* 0.02 ± 0.010 0.06 ± 0.008 0.16 ± 0.010 0.30 ± 0.012 0.62 ± 0.005
  1. * SPEL algorithm performs automatic clustering along with the subsite identification.