CNN-GRU [LIME]
Reported on 6 benchmarks across 2 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
- AUROC· 2020-12-180.793best: 0.862 (BERT-MRP)
- Accuracy· 2020-12-180.629best: 0.751 (XG-HSI-BERT)
- Macro F1· 2020-12-180.614best: 0.699 (BERT-MRP)
- AUROC· 2020-12-180.793best: 0.862 (BERT-MRP)
- Accuracy· 2020-12-180.629best: 0.751 (XG-HSI-BERT)
- Macro F1· 2020-12-180.614best: 0.699 (BERT-MRP)