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. Author manuscript; available in PMC: 2019 Jan 1.
Published in final edited form as: Methods Mol Biol. 2018;1755:197–221. doi: 10.1007/978-1-4939-7724-6_14

Table 1.

Model statistics for Discovery Studio Bayesian Models for Kinase Selectivity A. training set B test set minus overlapping compounds in Ambit.

A. Training set
5-Fold Cross-Validation Result
Model Name ROC Score ROC Rating True Positive False Negative False Positive True Negative Sensitivity Specificity Concordance
kinase selectivity and Ambit minus overlap 0.858 Good 941 167 37 352 0.849 0.905 0.864
A. Test Set
Validation Result Using External Test Set AmbitDataMinusOverlap.sd
Model Name ROC Score ROC Rating True Positive False Negative False Positive True Negative Sensitivity Specificity Concordance
kinase selectivity and Ambit minus overlap 0.813 Good 44 7 6 11 0.863 0.647 0.809