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Table 1 Predictive ability of models, expressed as squared correlation coefficient (\(\hbox {Q}^{2}\)) between acd_logd values in ChEMBL database and predicted logD values for 100,000 test set compounds

From: A confidence predictor for logD using conformal regression and a support-vector machine

Epsilon Cost
0.001 0.01 0.1 1 10
\(10^{-1}\) 0.509 0.509 0.510   
\(10^{-2}\) 0.820 0.821 0.821 0.821  
\(10^{-3}\) 0.918 0.943 0.949 0.952 0.952
\(10^{-4}\) 0.923 0.958 0.970 0.973 0.973
\(10^{-5}\)   0.958 0.971 0.973 0.972
  1. Bolditalic values indicate models with the highest predictive ability