File:ORES damaging calibration errors by newcomers and anons.png
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Summary
[edit]DescriptionORES damaging calibration errors by 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 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 |
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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 | 21:30, 3 May 2019 | 1,150 × 703 (52 KB) | Groceryheist (talk | contribs) | decrease resolution a bit for legibility. | |
16:53, 2 May 2019 | 1,460 × 703 (54 KB) | Groceryheist (talk | contribs) | Change title. | ||
22:20, 25 April 2019 | 1,460 × 679 (46 KB) | Groceryheist (talk | contribs) | Change y axis label and dodge the pointranges. | ||
18:44, 24 April 2019 | 1,150 × 679 (45 KB) | Groceryheist (talk | contribs) | Show 95% confidence intervals around the points. | ||
05:42, 24 April 2019 | 1,150 × 679 (30 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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