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Regression on DIABETES subsampled to 300 (train)

0.99R500Shapley
0.81320.85910.9050.9509Feb 10, 2025

Evaluation results

MethodLinks
ShapleySemivalue=Shapley, Utility path=MSE-MAE convex path, Regression model=Linear regression with L-BFGS2025.020.99
(4,1)-Beta ShapleySemivalue=(4,1)-Beta Shapley, Utility path=MSE-MAE convex path, Regression model=Linear regression with L-BFGS2025.020.99
BanzhafSemivalue=Banzhaf, Utility path=MSE-MAE convex path, Regression model=Linear regression with L-BFGS2025.020.99
BanzhafConvex path=MAE-R2, Model=Linear Regression with L-BFGS, Approximations=5 runs2025.020.94
ShapleyConvex path=MAE-R2, Model=Linear Regression with L-BFGS, Approximations=5 runs2025.020.9
(4,1)-Beta ShapleyConvex path=MAE-R2, Model=Linear Regression with L-BFGS, Approximations=5 runs2025.020.89
BanzhafModel=linear regression (L-BFGS), Utility Path=MSE-MAE-R2, Approximation Runs=52025.020.85
ShapleyModel=linear regression (L-BFGS), Utility Path=MSE-MAE-R2, Approximation Runs=52025.020.83
(4,1)-Beta ShapleyModel=linear regression (L-BFGS), Utility Path=MSE-MAE-R2, Approximation Runs=52025.020.82