File:ORES damaging calibration errors by newcomers and anons.png

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Original file (1,150 × 703 pixels, file size: 52 KB, MIME type: image/png)

Captions

Captions

This plot shows the difference between the average prediction by the model and the average true label for the ORES damaging models.

Summary

[edit]
Description
English: ORES is a machine learning system for classifying edits to Wikipedia according to whether they are damaging or goodfaith. This plot shows that, for the 25 Wikis on which ORES damaging models are deployed, and when the prediction threshold is chosen to maximize overall accuracy, that the model tends to underestimate the incidence of damaging edits. However, the models are most conservative for editors that are neither newcomers nor anonymous. Compared to other editors, the models score edits by newcomers and anons are more likely to be damaging.
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
attribution share alike
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File history

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Date/TimeThumbnailDimensionsUserComment
current21:30, 3 May 2019Thumbnail for version as of 21:30, 3 May 20191,150 × 703 (52 KB)Groceryheist (talk | contribs)decrease resolution a bit for legibility.
16:53, 2 May 2019Thumbnail for version as of 16:53, 2 May 20191,460 × 703 (54 KB)Groceryheist (talk | contribs)Change title.
22:20, 25 April 2019Thumbnail for version as of 22:20, 25 April 20191,460 × 679 (46 KB)Groceryheist (talk | contribs)Change y axis label and dodge the pointranges.
18:44, 24 April 2019Thumbnail for version as of 18:44, 24 April 20191,150 × 679 (45 KB)Groceryheist (talk | contribs)Show 95% confidence intervals around the points.
05:42, 24 April 2019Thumbnail for version as of 05:42, 24 April 20191,150 × 679 (30 KB)Groceryheist (talk | contribs)User created page with UploadWizard

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