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AUC stands for the Area Under the Curve and usually refers to the area under the receiver operating characteristic (ROC) curve.

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Worse AUC but better metrics (Recall, Precision) on a classification problem - How can this ...

Here's how it may happen: AUC-ROC calculation is based in Sensitivity and Specificity values, both of which are based on the correctly predicted values, both Positive and Negative: Sensitivity = True … the other hand are based on the True Positive values: Precision = Positive Predictive Value = TPos / (TPos + FPos) Recall (same as Sensitivity) = True Positive Rate = TPos / (TPos + FNeg) Note that AUC-ROC …
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