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With best regards, Matteo On 27 Jul 2021, at 12:42, Brown J.B. via scikit-learn <scikit-learn@python.org> wrote: 2021年7月27日(火) 12:03 Guillaume Lemaître <g.lemaitr...@gmail.com>: As far that I remember, `precision_recall_curve` and `roc_curve` do not support multi class. They are design to work only with binary classification. Correct, the TPR-FPR curve (ROC) was originally intended for tuning a free parameter, in signal detection, and is a binary-type metric. For ML problems, it lets you tune/determine an estimator's output value threshold (e.g., a probability or a raw discriminant value such as in SVM) for arriving an optimized model that will be used to give a final, binary-discretized answer in new prediction tasks. Hope this helps, J.B. _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
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