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[ML] Implement AucRoc metric for classification evaluation. #62160

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przemekwitek opened this issue Sep 9, 2020 · 1 comment
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[ML] Implement AucRoc metric for classification evaluation. #62160

przemekwitek opened this issue Sep 9, 2020 · 1 comment
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>feature :ml Machine learning

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@przemekwitek
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Currently, the ML Evaluate API exposes AucRoc metric for evaluating the results of the outlier detection analysis.
Such a metric would also be useful for evaluating (multiclass) classification analysis.
@przemekwitek przemekwitek added >feature :ml Machine learning labels Sep 9, 2020
@przemekwitek przemekwitek self-assigned this Sep 9, 2020
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@przemekwitek
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I consider this done.
There is still one outstanding issue with providing user-friendly error message when the old destination index is encountered in Evaluate request. But this is just a small enhancement that should not block this issue from being closed.

@Mpdreamz Mpdreamz mentioned this issue Nov 16, 2020
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@stevejgordon stevejgordon mentioned this issue Dec 17, 2020
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