File:ORES goodfaith false negative rates by newcomers and anons.png

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Captions

Captions

This plot shows the true negative rates of ORES models on edits by newcomers, anons, and other editors.

Summary

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Description
English: ORES is a machine learning system for classifying edits to Wikipedia according to whether they are damaging or goodfaith. This plot shows, for the 25 Wikis on which the ORES goodfaith models are deployed, when the prediction threshold is chosen to maximize overall accuracy, that the model commonly has significantly higher true negative rates for anonymous and newcomer editors compared to other editors.
Date
Source Own work
Author Groceryheist

Licensing

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I, the copyright holder of this work, hereby publish it under the following license:
w:en:Creative Commons
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File history

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Date/TimeThumbnailDimensionsUserComment
current00:45, 26 April 2019Thumbnail for version as of 00:45, 26 April 20191,604 × 723 (107 KB)Groceryheist (talk | contribs)Remove sr, which has strange thresholds.
22:14, 25 April 2019Thumbnail for version as of 22:14, 25 April 20191,604 × 723 (108 KB)Groceryheist (talk | contribs)Now we show a plot with 4 facets for the different threshholds in Special:ORESModels.
18:52, 24 April 2019Thumbnail for version as of 18:52, 24 April 20191,131 × 679 (41 KB)Groceryheist (talk | contribs)Show false negative rates and confidence intervals around points.
05:55, 24 April 2019Thumbnail for version as of 05:55, 24 April 20191,139 × 679 (28 KB)Groceryheist (talk | contribs)User created page with UploadWizard

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