DescriptionORES goodfaith calibration errors by gender.png
English: ORES is a machine learning system for classifying edits to Wikipedia according to whether they are damaging or goodfaith. This plot compares model predicted probabilities for the goodfaith models to probabilities estimated from a sample of human labeled edits according to sex or gender of the subject of the article. Results for the 26 Wikis on which ORES damaging models are deployed show no clear evidence of encoded bias along gendered lines.
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