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Table 2 Comparison between the additive method and the SVRMHC method in models constructed with the H2-Db, H2-Kb and H2-Kk datasets.

From: Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) models

  H2-Db H2-Kb H2-Kk
  Additive Method SVRMHC Method Additive Method SVRMHC Method Additive Method SVRMHC Method
Numbers of outliers 6 3 7 6 2 0
r 2 (self-consistency, outliers removed) 0.946 0.983 0.989 0.97 0.933 0.973
r 2 (self-consistency, entire dataset) 0.602 0.749 0.37 0.568 0.849 0.973
Average Residual (entire dataset) 0.403 0.17 0.443 0.382 0.178 0.039
Average Residual (outliers removed) 0.187 0.043 0.095 0.13 0.151 0.039
q 2 (LOO_CV) (outliers removed) 0.401 0.456 0.454 0.486 0.456 0.721