Intelligence Regression on HCP
0.835MSETABLeT
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| TABLeTT (time frames)=2562026.04 | 0.835 | 0.741 | 0.392 | |
| SwiFTT (time frames)=502026.04 | 0.865 | 0.758 | 0.354 | |
| meanMLP2026.04 | 0.887 | 0.767 | 0.34 | |
| TFFT (time frames)=202026.04 | 0.898 | 0.767 | 0.312 | |
| SwiFTTraining=from scratch2023.07 | 0.903 | 0.786 | — | |
| XGBoost2026.04 | 0.908 | 0.779 | 0.292 | |
| BNT2026.04 | 0.92 | 0.778 | 0.318 | |
| SwiFTT (time frames)=202026.04 | 0.94 | 0.782 | 0.297 | |
| TFF2023.07 | 0.953 | 0.795 | — | |
| Brain-JEPA2026.04 | 0.959 | 0.799 | 0.171 | |
| BrainNetCNN2026.04 | 0.967 | 0.788 | 0.286 | |
| BrainNetCNN2023.07 | 0.984 | 0.805 | — | |
| VanillaTF2023.07 | 0.987 | 0.812 | — | |
| XGBoost2023.07 | 0.991 | 0.813 | — | |
| BNT2023.07 | 1.001 | 0.83 | — |