8000 [MRG+1] Added macro-average ROC to plot_roc.py by wangz10 · Pull Request #3651 · scikit-learn/scikit-learn · GitHub
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@wangz10 wangz10 commented Sep 9, 2014

I added macro-average ROC to plot_roc.py

Macro-averaging is also an important performance measure used in multi-label classification.

@jnothman
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Could you please rebase your work on master? (Currently you have committed on top of a May 2014 version of the repository.)

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I should note: The file has moved to examples/model_selection

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Changes Unknown when pulling 8cee66b on wangz10:master into * on scikit-learn:master*.

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Changes Unknown when pulling 3bf6975 on wangz10:master into * on scikit-learn:master*.

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This insertion is duplicated.

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Apart from those minor points, LGTM

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Changes Unknown when pulling 9c079cf on wangz10:master into * on scikit-learn:master*.

@jnothman jnothman changed the title Added macro-average ROC to plot_roc.py [MRG+1] Added macro-average ROC to plot_roc.py Sep 13, 2014
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jnothman commented Oct 2, 2014

Note that I have seen macro-averaging in early papers about using AUROC in a multiclass setting, so I'm +1 that it be shown, as well as +1 for the code.

@GaelVaroquaux GaelVaroquaux merged commit 9c079cf into scikit-learn:master Aug 30, 2015
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Merged. Thanks (and sorry for the long turn around).

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