Model for epsx
Model benchmarks
Model name | Dataset |
MAE |
Team name |
Dataset size |
Date submitted |
Notes |
cfid_chem | dft_3d | 31.5033 | JARVIS | 44490 | 01-14-2023 | CSV, JSON, run.sh, Info |
matminer_rf | dft_3d | 21.3179 | UofT | 44490 | 05-22-2023 | CSV, JSON, run.sh, Info |
matminer_lgbm | dft_3d | 22.8572 | Matminer | 44490 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_cgcnn | dft_3d | 31.4744 | kgcnn | 44490 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_schnet | dft_3d | 24.912 | kgcnn | 44490 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_megnet | dft_3d | 21.775 | kgcnn | 44490 | 05-06-2023 | CSV, JSON, run.sh, Info |
matminer_xgboost | dft_3d | 21.2597 | UofT | 44490 | 05-22-2023 | CSV, JSON, run.sh, Info |
cfid | dft_3d | 24.8408 | JARVIS | 44490 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_coNGN | dft_3d | 18.5738 | kgcnn | 44490 | 05-06-2023 | CSV, JSON, run.sh, Info |
alignn_model | dft_3d | 20.3942 | ALIGNN | 44490 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_coGN | dft_3d | 20.0004 | kgcnn | 44490 | 05-06-2023 | CSV, JSON, run.sh, Info |
kgcnn_dimenetPP | dft_3d | 27.2511 | kgcnn | 44490 | 05-06-2023 | CSV, JSON, run.sh, Info |
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