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Receiver Operating Characteristic, also known as the ROC curve, is a graphical plot that illustrates the diagnostic ability of a binary classifier system at different thresholds

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What to do for AUC less than 0.5?

My model's performance gave an AUC-ROC of 0.4. Other threads and papers (linked below), say that for AUC < 0.5, a classifier has useful information but is applying it incorrectly. … People seem to suggest reversing the labels, to give an AUC-ROC of 0.6 Can AUC-ROC be between 0-0.5 http://people.inf.elte.hu/kiss/13dwhdm/roc.pdf However, would this be appropriate in this case? …
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