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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