8000 MRG, ENH: Allow using multiclass roc_auc by larsoner · Pull Request #7264 · mne-tools/mne-python · GitHub
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MRG, ENH: Allow using multiclass roc_auc #7264

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Merged
merged 1 commit into from
Jan 29, 2020
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As of scikit-learn/scikit-learn#15274 it should be possible (and correct?) to be able to use roc_auc with multiclass problems, provided you use ovo scoring.

@agramfort let me know if this is incorrect, or if it's still not advisable. I am somewhat naively using roc_auc_ovo_weighted for my multiclass one-vs-rest classification...

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codecov bot commented Jan 29, 2020

Codecov Report

Merging #7264 into master will increase coverage by 0.01%.
The diff coverage is 100%.

@@            Coverage Diff             @@
##           master    #7264      +/-   ##
==========================================
+ Coverage   89.79%   89.81%   +0.01%     
==========================================
  Files         447      447              
  Lines       80506    80703     +197     
  Branches    12873    12958      +85     
==========================================
+ Hits        72289    72480     +191     
  Misses       5390     5390              
- Partials     2827     2833       +6

@larsoner larsoner merged commit d977b5a into mne-tools:master Jan 29, 2020
@larsoner larsoner deleted the roc branch January 29, 2020 19:23
AdoNunes pushed a commit to AdoNunes/mne-python that referenced this pull request Apr 6, 2020
AdoNunes pushed a commit to AdoNunes/mne-python that referenced this pull request Apr 6, 2020
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