File:Goodfaith miscalibration pred newcomers and anons.png
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Summary
[edit]DescriptionGoodfaith miscalibration pred newcomers and anons.png |
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 ORES goodfaith models are deployed, and when the prediction threshold is chosen to maximize overall accuracy, that the model tends to underestimate the incidence of goodfaith edits. We see evidence of systemic bias against such editors in the sense that the models tend to underestimate the probability that their edits are made in good-faith even more than other editors. |
Date | |
Source | Own work |
Author | Groceryheist |
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[edit]I, the copyright holder of this work, hereby publish it under the following license:
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 16:48, 2 May 2019 | 1,142 × 703 (49 KB) | Groceryheist (talk | contribs) | Improve title and axes labels. | |
22:19, 25 April 2019 | 1,142 × 679 (42 KB) | Groceryheist (talk | contribs) | Change axis label. | ||
18:51, 24 April 2019 | 1,142 × 679 (43 KB) | Groceryheist (talk | contribs) | show confidence intervals around points. | ||
05:55, 24 April 2019 | 1,142 × 679 (29 KB) | Groceryheist (talk | contribs) | User created page with UploadWizard |
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Horizontal resolution | 39.37 dpc |
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Vertical resolution | 39.37 dpc |
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