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i am trying to conduct a grid search for an imbalanced problem however i cannot find the aucpr (area under curve precision recall) scoring metric for gridsearch. e.g. you have 'roc-auc', 'neg-brier-loss' but what is the respective aucpr scoring method?

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scikit-learn has a summary of the precision-recall curve called average_precision_score, which is similar to the aucpr, but is actually a rectangular approximation, see https://datascience.stackexchange.com/questions/52130/about-sklearn-metrics-average-precision-score-documentation

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