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Models/Random Forests

Random Forests

Reported on 7 benchmarks across 3 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing6 results

  • Abuse DetectiononEthos Binary
    Classification Accuracy· 2020-06-11
    0.6504
    best: 0.8015 (BiLSTM + static BE)
    ETHOS: an Online Hate Speech Detection DatasetarXiv:2006.08328
  • Abuse DetectiononEthos Binary
    F1-score· 2020-06-11
    0.6441
    best: 0.7971 (BiLSTM + static BE)
    ETHOS: an Online Hate Speech Detection DatasetarXiv:2006.08328
  • Abuse DetectiononEthos Binary
    Precision· 2020-06-11
    64.69
    best: 79.17 (BERT)
    ETHOS: an Online Hate Speech Detection DatasetarXiv:2006.08328
  • Hate Speech DetectiononEthos Binary
    Classification Accuracy· 2020-06-11
    0.6504
    best: 0.8015 (BiLSTM + static BE)
    ETHOS: an Online Hate Speech Detection DatasetarXiv:2006.08328
  • Hate Speech DetectiononEthos Binary
    F1-score· 2020-06-11
    0.6441
    best: 0.7971 (BiLSTM + static BE)
    ETHOS: an Online Hate Speech Detection DatasetarXiv:2006.08328
  • Hate Speech DetectiononEthos Binary
    Precision· 2020-06-11
    64.69
    best: 79.17 (BERT)
    ETHOS: an Online Hate Speech Detection DatasetarXiv:2006.08328

Graphs1 result

  • Graph RegressiononLipophilicity
    RMSE@80%Train
    1.16
    best: 0.93 (CensNet)