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Table 1 Performance evaluation of classifiers

From: A systematic approach to identify novel cancer drug targets using machine learning, inhibitor design and high-throughput screening

Classifier ACC Sensitivity Specificity BACa AUC
BrCa 93.33 88.71 93.38 91.05 78.46
PaCa 89.65 62.32 90.02 76.17 77.47
OvCa 92.08 64.44 92.32 78.38 79.31
  1. aBAC is balanced accuracy, which is defined as the arithmetic mean of sensitivity and specificity.