Search Results for author: Giovanni Angelotti

Found 1 papers, 1 papers with code

A Closer Look at AUROC and AUPRC under Class Imbalance

2 code implementations11 Jan 2024 Matthew B. A. McDermott, Lasse Hyldig Hansen, Haoran Zhang, Giovanni Angelotti, Jack Gallifant

In machine learning (ML), a widespread adage is that the area under the precision-recall curve (AUPRC) is a superior metric for model comparison to the area under the receiver operating characteristic (AUROC) for binary classification tasks with class imbalance.

Binary Classification

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