Model for epsz
Model benchmarks
Model name | Dataset |
MAE |
Team name |
Dataset size |
Date submitted |
Notes |
cfid_chem | dft_3d | 31.0199 | JARVIS | 44490 | 01-14-2023 | CSV, JSON, run.sh, Info |
matminer_rf | dft_3d | 20.9693 | UofT | 44490 | 05-22-2023 | CSV, JSON, run.sh, Info |
matminer_lgbm | dft_3d | 22.288 | Matminer | 44490 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_cgcnn | dft_3d | 29.9662 | kgcnn | 44490 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_schnet | dft_3d | 24.252 | kgcnn | 44490 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_megnet | dft_3d | 22.6781 | kgcnn | 44490 | 05-06-2023 | CSV, JSON, run.sh, Info |
matminer_xgboost | dft_3d | 20.8888 | UofT | 44490 | 05-22-2023 | CSV, JSON, run.sh, Info |
cfid | dft_3d | 24.781 | JARVIS | 44490 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_coNGN | dft_3d | 17.8104 | kgcnn | 44490 | 05-06-2023 | CSV, JSON, run.sh, Info |
alignn_model | dft_3d | 19.5678 | ALIGNN | 44490 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_coGN | dft_3d | 19.6192 | kgcnn | 44490 | 05-06-2023 | CSV, JSON, run.sh, Info |
kgcnn_dimenetPP | dft_3d | 33.8379 | kgcnn | 44490 | 05-06-2023 | CSV, JSON, run.sh, Info |
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