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Benchmarks
Feature Selection on HI with random extraneous features
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92.2
ROC AUC
Deep Lasso
69.112
75.106
81.1
87.094
Nov 10, 2023
ROC AUC
Updated 1mo ago
Evaluation Results
Method
Method
Links
ROC AUC
Deep Lasso
%=50
2023.11
92.2
Deep Lasso
%=75
2023.11
89.5
XGBoost
%=50
2023.11
89
1L Lasso
%=50
2023.11
88.8
Forest
%=75
2023.11
88
AM
%=50
2023.11
87.6
RF
%=50
2023.11
87.4
Univariate
%=50
2023.11
86.6
LassoNet
%=50
2023.11
86.2
Lasso
%=50
2023.11
84.7
Univariate
%=75
2023.11
84.6
Lasso
%=75
2023.11
83.7
LassoNet
%=75
2023.11
82.1
AGL
%=75
2023.11
79.1
AGL
%=50
2023.11
78.6
1L Lasso
%=75
2023.11
78.4
XGBoost
%=75
2023.11
70
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