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Downstream performance prediction on HE (Heart) corrupted with Laplace noise

38.7Downstream Performance

LassoNet + MLP

Updated 1mo ago

Evaluation Results

Method	Links
LassoNet + MLP 2023.11		38.7	4.45
AM + MLP 2023.11		38.7	3.91
XGBoost + MLP 2023.11		38.5	2.64
AGL + MLP 2023.11		38.4	3.36
Deep Lasso + MLP 2023.11		38.3	1.91
AGL + MLP 2023.11		38.2	3.09
XGBoost + MLP 2023.11		38	2
RF + MLP 2023.11		37.9	5
1L Lasso + MLP 2023.11		37.8	3.09
Deep Lasso + MLP 2023.11		37.7	2
Lasso + MLP 2023.11		37.6	4.36
LassoNet + MLP 2023.11		37.5	5.09
Lasso + MLP 2023.11		37.4	6.55
No FS + MLP 2023.11		37.2	8.27
1L Lasso + MLP 2023.11		37.2	3.73
RF + MLP 2023.11		36.7	4.45
No FS + MLP 2023.11		35.7	7.73
Univariate + MLP 2023.11		34.5	7
Univariate + MLP 2023.11		33.8	7.64