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Implementation of ROC Area Under Curve, a metric used for measuring predictive quality of a binary classifier.

Input: true labels and predicted probabilities
Output: ROC AUC rounded to 5 floating points

Implementation of ROC Area Under Curve, a metric used for measuring predictive quality of a binary classifier.

Input: true labels and predicted probabilities
Output: ROC AUC rounded to 5 floating points
@turkunov turkunov changed the title added q94 ROC AUC New problem: ROC AUC Jan 18, 2025
@turkunov turkunov changed the title New problem: ROC AUC New Problem: ROC AUC Jan 18, 2025
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Solves #235

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turkunov commented Feb 6, 2025

Closing in favor of #324

@turkunov turkunov closed this Feb 6, 2025
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