Classification on UCI hepatite (80%:20% train-test)
16.13Error RateLogistic Regression
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Logistic RegressionLasso Regularization=false2022.05 | 16.13 | — | |
| Distributionally Robust OptimizationLasso Regularization=false, Kappa (κ)=12022.05 | 16.13 | — | |
| Lasso-regularized Distributionally Robust OptimizationLasso Regularization=true, Kappa (κ)=m2022.05 | 16.13 | — | |
| Mixed-feature Logistic RegressionKappa (κ)=12022.05 | 16.13 | — | |
| Mixed-feature Logistic RegressionKappa (κ)=m2022.05 | 16.13 | — | |
| Lasso-regularized Distributionally Robust OptimizationLasso Regularization=true, Kappa (κ)=12022.05 | 17.74 | — | |
| Prediction Intervals (PI)Alpha (α)=0.052022.05 | 17.74 | — | |
| Distributionally Robust OptimizationLasso Regularization=false, Kappa (κ)=m2022.05 | 19.35 | — | |
| Lasso-regularized Logistic RegressionLasso Regularization=true2022.05 | 19.35 | — | |
| Path Regularized ConvexOptimizer=SGD2021.10 | — | 71 | |
| Path Regularized ConvexOptimizer=Adam2021.10 | — | 74.1 | |
| Standard Non-convexOptimizer=SGD2021.10 | — | 64.5 | |
| Standard Non-convexOptimizer=Adam2021.10 | — | 70.9 |