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Regression on CALIFORNIA HOUSING subsampled to 300 (train)

0.86R500Banzhaf
0.64160.69830.7550.8117Feb 10, 2025

Evaluation results

MethodLinks
BanzhafModel=linear regression (L-BFGS), Utility Path=MSE-MAE-R2, Approximation Runs=52025.020.86
BanzhafSemivalue=Banzhaf, Utility path=MSE-MAE convex path, Regression model=Linear regression with L-BFGS2025.020.75
ShapleySemivalue=Shapley, Utility path=MSE-MAE convex path, Regression model=Linear regression with L-BFGS2025.020.72
BanzhafConvex path=MAE-R2, Model=Linear Regression with L-BFGS, Approximations=5 runs2025.020.72
(4,1)-Beta ShapleySemivalue=(4,1)-Beta Shapley, Utility path=MSE-MAE convex path, Regression model=Linear regression with L-BFGS2025.020.71
ShapleyModel=linear regression (L-BFGS), Utility Path=MSE-MAE-R2, Approximation Runs=52025.020.69
(4,1)-Beta ShapleyModel=linear regression (L-BFGS), Utility Path=MSE-MAE-R2, Approximation Runs=52025.020.68
ShapleyConvex path=MAE-R2, Model=Linear Regression with L-BFGS, Approximations=5 runs2025.020.66
(4,1)-Beta ShapleyConvex path=MAE-R2, Model=Linear Regression with L-BFGS, Approximations=5 runs2025.020.65