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Table 3 Performance of the Extra Trees classifier to predict specific toxicities

From: eToxPred: a machine learning-based approach to estimate the toxicity of drug candidates

Dataset

AUC

ACC

CP

0.721

0.722

CD

0.799

0.798

ED

0.750

0.744

AO

0.800

0.854

  1. The following datasets are used: carcinogenicity potency (CP), cardiotoxicity (CD), endocrine disruption (ED), and acute oral toxicity (AO). The performance is assessed with the area under the curve (AUC) and the accuracy (ACC, Eq. 1)
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BMC Pharmacology and Toxicology

ISSN: 2050-6511

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