Model for spillage
Model benchmarks
Model name | Dataset |
MAE |
Team name |
Dataset size |
Date submitted |
Notes |
cfid_chem | dft_3d | 0.3957 | JARVIS | 11375 | 01-14-2023 | CSV, JSON, run.sh, Info |
matminer_rf | dft_3d | 0.3615 | UofT | 11375 | 05-22-2023 | CSV, JSON, run.sh, Info |
matminer_lgbm | dft_3d | 0.3806 | Matminer | 11375 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_cgcnn | dft_3d | 0.4202 | kgcnn | 11375 | 01-14-2023 | CSV, JSON, run.sh, Info |
cgcnn_model | dft_3d | 0.3965 | CGCNN | 11375 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_schnet | dft_3d | 0.4105 | kgcnn | 11375 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_megnet | dft_3d | 0.3904 | kgcnn | 11375 | 05-06-2023 | CSV, JSON, run.sh, Info |
matminer_xgboost | dft_3d | 0.3592 | UofT | 11375 | 05-22-2023 | CSV, JSON, run.sh, Info |
cfid | dft_3d | 0.3867 | JARVIS | 11375 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_coNGN | dft_3d | 0.3463 | kgcnn | 11375 | 05-06-2023 | CSV, JSON, run.sh, Info |
alignn_model | dft_3d | 0.351 | ALIGNN | 11375 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_coGN | dft_3d | 0.3609 | kgcnn | 11375 | 05-06-2023 | CSV, JSON, run.sh, Info |
kgcnn_dimenetPP | dft_3d | 0.4137 | kgcnn | 11375 | 05-06-2023 | CSV, JSON, run.sh, Info |
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