File:ORES damaging false positive rates by newcomers and anons.png
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Captions
Captions
This plot shows the false positve rates of ORES damaging 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 that, for the 25 Wikis on which the ORES damaging models are deployed, and when the prediction threshold is chosen to maximize overall accuracy, that the model commonly has significant false positive rates for anonymous editors. Moreover, false positive rates for newcomers, while low, are greater than for 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:
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File history
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 16:56, 2 May 2019 | | 1,596 × 723 (115 KB) | Groceryheist (talk | contribs) | Change title |
| 22:17, 25 April 2019 |  | 1,596 × 723 (115 KB) | Groceryheist (talk | contribs) | Show 4 facets for the different threshholds from Special:ORESModels | |
| 18:50, 24 April 2019 |  | 1,131 × 679 (39 KB) | Groceryheist (talk | contribs) | show confidence intervals around points. | |
| 05:42, 24 April 2019 |  | 1,139 × 679 (27 KB) | Groceryheist (talk | contribs) | User created page with UploadWizard |
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