Decision Tree Classifier
Reported on 3 benchmarks across 3 tasks
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing9 results
- Weighted Average F1-score0.9best: 0.93 (RoBERTa)
- Weighted Average F1-score0.9best: 0.93 (RoBERTa)
- Weighted Average F1-score0.73best: 0.93 (RoBERTa)
- Weighted Average F1-score0.9best: 0.93 (RoBERTa)
- Weighted Average F1-score0.9best: 0.93 (RoBERTa)
- Weighted Average F1-score0.73best: 0.93 (RoBERTa)
- Weighted Average F1-score0.9best: 0.93 (RoBERTa)
- Weighted Average F1-score0.9best: 0.93 (RoBERTa)
- Weighted Average F1-score0.73best: 0.93 (RoBERTa)