Regression on CALIFORNIA HOUSING subsampled to 300 (train)
0.86R500Banzhaf
Evaluation Results
| Method | Links | |
|---|---|---|
| BanzhafModel=linear regression (L-BFGS), Utility Path=MSE-MAE-R2, Approximation Runs=52025.02 | 0.86 | |
| BanzhafSemivalue=Banzhaf, Utility path=MSE-MAE convex path, Regression model=Linear regression with L-BFGS2025.02 | 0.75 | |
| ShapleySemivalue=Shapley, Utility path=MSE-MAE convex path, Regression model=Linear regression with L-BFGS2025.02 | 0.72 | |
| BanzhafConvex path=MAE-R2, Model=Linear Regression with L-BFGS, Approximations=5 runs2025.02 | 0.72 | |
| (4,1)-Beta ShapleySemivalue=(4,1)-Beta Shapley, Utility path=MSE-MAE convex path, Regression model=Linear regression with L-BFGS2025.02 | 0.71 | |
| ShapleyModel=linear regression (L-BFGS), Utility Path=MSE-MAE-R2, Approximation Runs=52025.02 | 0.69 | |
| (4,1)-Beta ShapleyModel=linear regression (L-BFGS), Utility Path=MSE-MAE-R2, Approximation Runs=52025.02 | 0.68 | |
| ShapleyConvex path=MAE-R2, Model=Linear Regression with L-BFGS, Approximations=5 runs2025.02 | 0.66 | |
| (4,1)-Beta ShapleyConvex path=MAE-R2, Model=Linear Regression with L-BFGS, Approximations=5 runs2025.02 | 0.65 |