ML

Using ROC Curves & AUC

This is a snippet from my upcoming book ‘Data Badass’ (pictured below): The ROC Curve & the Area Under Curve (AUC) is used for binary classification problems. The ROC curve chart looks at the True Positive Rate vs the False Positive Rate. Ideally, you want to reduce the number of false positives as much as […]

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