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Benchmarks
Feature Selection on Aggregated AL, CH, CO, EY, GE, HE, HI, HO, JA, MI, OT, YE
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2.17
Rank
XGBoost
2.05
2.86
3.67
4.48
Nov 10, 2023
Rank
Updated 1mo ago
Evaluation Results
Method
Method
Links
Rank
XGBoost
% extraneous features=50
2023.11
2.17
Deep Lasso
% extraneous features=75
2023.11
2.17
Deep Lasso
% extraneous features=50
2023.11
2.67
Univariate
% extraneous features=75
2023.11
2.67
XGBoost
% extraneous features=75
2023.11
2.67
Univariate
% extraneous features=50
2023.11
2.75
RF
% extraneous features=75
2023.11
3.17
Lasso
% extraneous features=75
2023.11
3.75
RF
% extraneous features=50
2023.11
4.25
AGL
% extraneous features=50
2023.11
4.5
AM
% extraneous features=50
2023.11
4.58
1L Lasso
% extraneous features=50
2023.11
4.67
AGL
% extraneous features=75
2023.11
4.75
Lasso
% extraneous features=50
2023.11
5
LassoNet
% extraneous features=50
2023.11
5
LassoNet
% extraneous features=75
2023.11
5.08
1L Lasso
% extraneous features=75
2023.11
5.17
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