Classification on AL with second-order extra features
96.4AccuracyFirst-Layer Lasso
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| First-Layer Lassopercent of extra features=50%, downstream model=FT-Transformer2023.11 | 96.4 | 2.83 | |
| Univariatepercent of extra features=50%, downstream model=FT-Transformer2023.11 | 96.3 | 6.25 | |
| LassoNetpercent of extra features=50%, downstream model=FT-Transformer2023.11 | 96.3 | 5 | |
| Attention Map Importancepercent of extra features=50%, downstream model=FT-Transformer2023.11 | 96.3 | 3.83 | |
| Random Forestpercent of extra features=50%, downstream model=FT-Transformer2023.11 | 96.3 | 3.66 | |
| Deep Lassopercent of extra features=50%, downstream model=FT-Transformer2023.11 | 96.3 | 2.41 | |
| Nonepercent of extra features=50%, downstream model=FT-Transformer2023.11 | 96.2 | 4.08 | |
| Lassopercent of extra features=50%, downstream model=FT-Transformer2023.11 | 96.2 | 5.08 | |
| Univariatepercent of extra features=50%, downstream model=MLP2023.11 | 96.1 | 6.58 | |
| Adaptive Group Lassopercent of extra features=50%, downstream model=MLP2023.11 | 96.1 | 3.25 | |
| Attention Map Importancepercent of extra features=50%, downstream model=MLP2023.11 | 96.1 | 3.5 | |
| Deep Lassopercent of extra features=50%, downstream model=MLP2023.11 | 96.1 | 2.67 | |
| Nonepercent of extra features=50%, downstream model=MLP2023.11 | 96 | 4.5 | |
| Univariatepercent of extra features=75%, downstream model=MLP2023.11 | 96 | 7.25 | |
| Lassopercent of extra features=75%, downstream model=MLP2023.11 | 96 | 3.67 | |
| First-Layer Lassopercent of extra features=75%, downstream model=MLP2023.11 | 96 | 3.33 | |
| First-Layer Lassopercent of extra features=50%, downstream model=MLP2023.11 | 95.9 | 3.92 | |
| LassoNetpercent of extra features=50%, downstream model=MLP2023.11 | 95.9 | 4.5 | |
| Deep Lassopercent of extra features=75%, downstream model=MLP2023.11 | 95.9 | 2.17 | |
| Random Forestpercent of extra features=50%, downstream model=MLP2023.11 | 95.8 | 3.25 | |
| Adaptive Group Lassopercent of extra features=75%, downstream model=MLP2023.11 | 95.8 | 2.67 | |
| LassoNetpercent of extra features=75%, downstream model=MLP2023.11 | 95.8 | 4.83 | |
| Random Forestpercent of extra features=75%, downstream model=MLP2023.11 | 95.6 | 5.08 | |
| Lassopercent of extra features=50%, downstream model=MLP2023.11 | 95.5 | 5.33 | |
| Nonepercent of extra features=75%, downstream model=MLP2023.11 | 95.2 | 4.92 | |
| Adaptive Group Lassopercent of extra features=50%, downstream model=FT-Transformer2023.11 | 93.5 | 4.16 | |
| XGBoostpercent of extra features=50%, downstream model=FT-Transformer2023.11 | 87.1 | 4.08 | |
| XGBoostpercent of extra features=50%, downstream model=MLP2023.11 | 87 | 3.83 | |
| XGBoostpercent of extra features=75%, downstream model=MLP2023.11 | 45.9 | 5 |