File:ORES goodfaith false negative rates by geographic region.png
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Summary
| Description |
English: ORES is a machine learning system for classifying edits to Wikipedia according to whether they are damaging or goodfaith. This plot compares the model's false negative rates for the goodfaith models against a sample of human labeled edits to see whether errors are associated with revisions to articles where the subject is in the global south. Results for the 26 Wikis on which ORES models are deployed show no clear evidence of encoded bias along geographic lines. |
| Date | |
| Source | Own work |
| Author | Groceryheist |
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 00:40, 3 May 2019 | | 1,610 × 723 (90 KB) | Groceryheist | User created page with UploadWizard |
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