Model for mbj_bandgap
Model benchmarks
Model name | Dataset |
MAE |
Team name |
Dataset size |
Date submitted |
Notes |
cfid_chem | dft_3d | 0.6206 | JARVIS | 18167 | 01-14-2023 | CSV, JSON, run.sh, Info |
matminer_rf | dft_3d | 0.3516 | UofT | 18167 | 05-22-2023 | CSV, JSON, run.sh, Info |
matminer_lgbm | dft_3d | 0.3909 | Matminer | 18167 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_cgcnn | dft_3d | 0.5931 | kgcnn | 18167 | 01-14-2023 | CSV, JSON, run.sh, Info |
cgcnn_model | dft_3d | 0.4067 | CGCNN | 18167 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_schnet | dft_3d | 0.3804 | kgcnn | 18167 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_megnet | dft_3d | 0.297 | kgcnn | 18167 | 05-06-2023 | CSV, JSON, run.sh, Info |
matminer_xgboost | dft_3d | 0.3392 | UofT | 18167 | 05-22-2023 | CSV, JSON, run.sh, Info |
cfid | dft_3d | 0.5313 | JARVIS | 18167 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_coNGN | dft_3d | 0.2719 | kgcnn | 18167 | 05-06-2023 | CSV, JSON, run.sh, Info |
alignn_model | dft_3d | 0.3104 | ALIGNN | 18167 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_coGN | dft_3d | 0.264 | kgcnn | 18167 | 05-06-2023 | CSV, JSON, run.sh, Info |
potnet | dft_3d | 0.2707 | DIVE@TAMU | 18167 | 06-02-2023 | CSV, JSON, run.sh, Info |
kgcnn_dimenetPP | dft_3d | 0.4764 | kgcnn | 18167 | 05-06-2023 | CSV, JSON, run.sh, Info |
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