scikit-learn

Bodyguard builds a machine-learning model on OVHcloud AutoML to detect hateful comments, reaching 90% detection with a 3% false-positive rate

Bodyguard, an anti-cyber-bullying app, built its predictive model and a meta-learning model with OVHcloud AutoML and scikit-learn, running on OVHcloud Public Cloud instances. The source states detection accuracy rose from 80% to 90%, false positives fell from 6% to 3%, and more than 2 million hateful comments were deleted in 20 months.