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Table 4 Classification performance of final classifiers trained on the whole dataset.

From: Supervised prediction of drug-induced nephrotoxicity based on interleukin-6 and -8 expression levels

  Classifier HPTC1 HPTC2 HPTC3 Mean
AUC TC 0.94 0.81 0.82 0.85
  SVM 0.98 0.89 0.96 0.94
  RF 1.00 1.00 1.00 1.00
Balanced accuracy (%) TC 90.2 80.7 71.30 80.7
  SVM 94.3 82.7 89.3 88.7
  RF 98.2 99.8 100.0 99.3
Sensitivity (%) TC 90.9 77.3 63.6 77.3
  SVM 89.6 69.6 85.9 81.7
  RF 96.4 99.6 100.0 98.6
Specificity (%) TC 89.5 84.2 79.0 84.2
  SVM 99.0 95.8 92.6 95.8
  RF 100.0 100.0 100.0 100.0
  1. (TC=threshold-based classifier from Li et al., SVM=support vector machine, RF=random forest classifier, AUC=area under ROC curve. The values were obtained by training and test each classifier using all compounds.)
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