File:ORES goodfaith false positive rates by gender.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 positive 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 a woman. Results for the 26 Wikis on which ORES models are deployed show no clear evidence of encoded bias along gendered lines. |
| Date | |
| Source | Own work |
| Author | Groceryheist |
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 00:40, 3 May 2019 | | 1,700 × 723 (94 KB) | Groceryheist | User created page with UploadWizard |
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