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Downstream Performance Prediction on Abalone corrupted with Laplace noise

95.7Downstream Performance

Deep Lasso + MLP

Updated 4d ago

Evaluation Results

Method	Links
Deep Lasso + MLP 2023.11		95.7	1.91
XGBoost + MLP 2023.11		95.6	2.64
XGBoost + MLP 2023.11		95.6	2
Univariate + MLP 2023.11		95.5	7
1L Lasso + MLP 2023.11		95.5	3.09
AGL + MLP 2023.11		95.5	3.36
1L Lasso + MLP 2023.11		95.5	3.73
AGL + MLP 2023.11		95.4	3.09
Lasso + MLP 2023.11		95.3	6.55
AM + MLP 2023.11		95.3	3.91
RF + MLP 2023.11		95.3	5
Deep Lasso + MLP 2023.11		95.3	2
Lasso + MLP 2023.11		95.2	4.36
LassoNet + MLP 2023.11		95.1	4.45
RF + MLP 2023.11		95.1	4.45
Univariate + MLP 2023.11		95	7.64
LassoNet + MLP 2023.11		94.7	5.09
No FS + MLP 2023.11		94.2	8.27
No FS + MLP 2023.11		91.9	7.73