Imbalanced Data? Stop Using ROC-AUC and Use AUPRC Instead

Unbalanced Data? Stop Using ROC-AUC and Use AUPRC Instead

Advantages of AUPRC when measuring performance in the presence of data imbalance — clearly explained

The Receiver Operating Characteristic — Area Under the Curve (ROC-AUC) measure is widely used to assess the performance of binary classifiers. However, sometimes, it is more appropriate to evaluate your classifier based on measuring the Area Under the Precision-Recall …

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