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Figure 1 | BMC Pharmacology

Figure 1

From: Computational models for in-vitro anti-tubercular activity of molecules based on high-throughput chemical biology screening datasets

Figure 1

Receiver operating characteristic (ROC) curve plot of all the models. A plot of ROC curve for all the classifiers. Among all classifiers, SMO achieved the maximum value for area under the curve (AUC) closely followed by Random Forest and Naïve Bayes. J48 had the least AUC. The corresponding scalar AUC values can be viewed in Table 2

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BMC Pharmacology

ISSN: 1471-2210