“Anwar and his colleagues compared BiCapsHate to these other models, finding that theirs outperformed the other models significantly. BiCapsHate achieved 94 percent and 92 percent f-score measures on balanced and imbalanced data sets, respectively. An f-score is a means of evaluating the accuracy of AI systems. The higher the f-score, the greater the accuracy.”https://spectrum.ieee.org/ai-versus-online-hate-speechShare this:FacebookXLike this:Like Loading... Post navigation Explaining Hate Speech Classification with Model-Agnostic Methods (Lecture Notes in Informatics) What happened to the “Internet for trust”? Report on the UNESCO Conference (AlSur)