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ResearchFormerly WizWand

Classification on AL with second-order extra features

96.4AccuracyFirst-Layer Lasso
43.8857.51571.1584.785Nov 10, 2023
Updated 8mo ago

Evaluation results

MethodLinks
First-Layer Lassopercent of extra features=50%, downstream model=FT-Transformer2023.1196.42.83
Univariatepercent of extra features=50%, downstream model=FT-Transformer2023.1196.36.25
LassoNetpercent of extra features=50%, downstream model=FT-Transformer2023.1196.35
Attention Map Importancepercent of extra features=50%, downstream model=FT-Transformer2023.1196.33.83
Random Forestpercent of extra features=50%, downstream model=FT-Transformer2023.1196.33.66
Deep Lassopercent of extra features=50%, downstream model=FT-Transformer2023.1196.32.41
Nonepercent of extra features=50%, downstream model=FT-Transformer2023.1196.24.08
Lassopercent of extra features=50%, downstream model=FT-Transformer2023.1196.25.08
Univariatepercent of extra features=50%, downstream model=MLP2023.1196.16.58
Adaptive Group Lassopercent of extra features=50%, downstream model=MLP2023.1196.13.25
Attention Map Importancepercent of extra features=50%, downstream model=MLP2023.1196.13.5
Deep Lassopercent of extra features=50%, downstream model=MLP2023.1196.12.67
Nonepercent of extra features=50%, downstream model=MLP2023.11964.5
Univariatepercent of extra features=75%, downstream model=MLP2023.11967.25
Lassopercent of extra features=75%, downstream model=MLP2023.11963.67
First-Layer Lassopercent of extra features=75%, downstream model=MLP2023.11963.33
First-Layer Lassopercent of extra features=50%, downstream model=MLP2023.1195.93.92
LassoNetpercent of extra features=50%, downstream model=MLP2023.1195.94.5
Deep Lassopercent of extra features=75%, downstream model=MLP2023.1195.92.17
Random Forestpercent of extra features=50%, downstream model=MLP2023.1195.83.25
Adaptive Group Lassopercent of extra features=75%, downstream model=MLP2023.1195.82.67
LassoNetpercent of extra features=75%, downstream model=MLP2023.1195.84.83
Random Forestpercent of extra features=75%, downstream model=MLP2023.1195.65.08
Lassopercent of extra features=50%, downstream model=MLP2023.1195.55.33
Nonepercent of extra features=75%, downstream model=MLP2023.1195.24.92
Adaptive Group Lassopercent of extra features=50%, downstream model=FT-Transformer2023.1193.54.16
XGBoostpercent of extra features=50%, downstream model=FT-Transformer2023.1187.14.08
XGBoostpercent of extra features=50%, downstream model=MLP2023.11873.83
XGBoostpercent of extra features=75%, downstream model=MLP2023.1145.95