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Precision vs. specificity

Precision is TP / (TP + FP) and specificity is TN / (TN + FP), where TP is true positives, FP is false positives, and TN is true negatives, as described in Wikipedia. So if you look at the graphic ...
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Combine accuracy, precision, and recall

This approach is questionable. Instead use establish statistical principles as detailed here. Here are a few. Turn the problem into a prediction problem instead of a classification problem, by ...

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