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Table 2 Performance (AUC) results of six machine learning methods

From: Computational determination of hERG-related cardiotoxicity of drug candidates

Algorithm Optimal number of features AUC
Linear regression 40 0.747
Logistic regression 350 0.764
Ridge regression 400 0.774
Neural network 1400 0.764
Naïve Bayes 40 0.687
Random forest 120 0.709