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Table 3 Performance results of the top three models with optimized thresholds

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

Algorithm

Threshold

Accuracy

MCC

Sensitivity

Specificity

PPVa

Logistic regression

0.57

0.814

0.307

0.557

0.844

0.292

Neural network

0.82

0.901

0.368

0.321

0.967

0.542

Ridge regression

0.64

0.864

0.332

0.448

0.912

0.371

  1. aPPV: Positive predictive value is defined as the number of true positives/(the number of true positives + the number of false positives)