Model name | Dataset |
Accuracy |
Team name |
Dataset size |
Date submitted |
Notes |
random_forest_text_title | arXiv | 0.8681 | ChemNLP | 100994 | 01-14-2023 | CSV, JSON, run.sh, Info |
random_forest_text_title_abstract | arXiv | 0.8854 | ChemNLP | 100994 | 01-14-2023 | CSV, JSON, run.sh, Info |
svc_model_text_title_abstract | arXiv | 0.9082 | ChemNLP | 100994 | 01-14-2023 | CSV, JSON, run.sh, Info |
logisticreg_model_text_abstract | arXiv | 0.8543 | ChemNLP | 100994 | 01-14-2023 | CSV, JSON, run.sh, Info |
random_forest_text_abstract | arXiv | 0.884 | ChemNLP | 100994 | 01-14-2023 | CSV, JSON, run.sh, Info |
svc_model_text_abstract | arXiv | 0.9082 | ChemNLP | 100994 | 01-14-2023 | CSV, JSON, run.sh, Info |
svc_model_text_title | arXiv | 0.8469 | ChemNLP | 100994 | 01-14-2023 | CSV, JSON, run.sh, Info |
logisticreg_model_text_title_abstract | arXiv | 0.8597 | ChemNLP | 100994 | 01-14-2023 | CSV, JSON, run.sh, Info |
logisticreg_model_text_title | arXiv | 0.7903 | ChemNLP | 100994 | 01-14-2023 | CSV, JSON, run.sh, Info |