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Table 2 Performance measures used

From: Feature combination networks for the interpretation of statistical machine learning models: application to Ames mutagenicity

Name Equation Usage
Balanced accuracy (BAC) SEN + SPEC 2 Accuracy measure that accounts for bias in the data.
Sensitivity (SEN) TP TP + FN Model’s ability to correctly identify positives
Specificity (SPEC) TN TN + FP Model’s ability to correctly identify negatives
Coverage (COV) in domain structures Number of structures * 100 Model’s coverage of the given validation set representing the applicability of the model.