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Figure 2.


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Performance of five-fold cross-validation for the training set of HDAC1 inhibitors. NB, naïve Bayes; k NN, k-nearest neighbor; CT, C4.5 decision tree; RF, random forest; SVM, support vector machine; FP, CDK fingerprint; Ext, CDK extended fingerprint; Est, estate fingerprint; MACCS, MACCS keys; Pub, PubChem fingerprint; FP4, substructure fingerprint; KR, Klekota-Roth fingerprint. The X-axis lists the name of the building models, and the Y-axis represents the values of CA, AUC, SE, SP.

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