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. Author manuscript; available in PMC: 2016 Jul 21.
Published in final edited form as: J Chem Inf Model. 2014 Oct 7;54(10):2996–3004. doi: 10.1021/ci500445u

Table 4.

5 fold cross validation results for n307 Bayesian model of an expert's evaluation of the NIH chemical probes.

Algorithm Receiver Operator Characteristic
Bayesian 0.735
Support Vector Machine 0.638
Recursive partitioning – Single tree 0.630
Recursive partitioning – Forest 0.607