Multiclass classification on cleveland
0.224L1 calibration errorIRP
Evaluation results
| Method | Links | ||
|---|---|---|---|
| IRPBase Model=MLP2026.03 | 0.224 | — | |
| IRPBase Model=Linear SVM2026.03 | 0.255 | — | |
| BIR30Method Description=Brenier Isotonic Regression, k=30, Iterations=100, Number of trials=102026.03 | 0.47 | 58.5 | |
| BrenierIRBase Model=MLP, k=152026.03 | 0.519 | — | |
| BrenierIRBase Model=Linear SVM, k=152026.03 | 0.573 | — | |
| BrenierIRBase Model=MLP, k=302026.03 | 0.655 | — | |
| MSBase Model=Linear SVM2026.03 | 0.655 | — | |
| CLSMethod Description=Calibrated least squares, Bases={z, z2, z3}, Iterations=2000, Number of trials=102026.03 | 0.682 | 34.3 | |
| BrenierIRBase Model=Linear SVM, k=302026.03 | 0.725 | — | |
| BrenierIRBase Model=Linear SVM, k=502026.03 | 0.73 | — | |
| DirBase Model=Linear SVM2026.03 | 0.732 | — | |
| OIBase Model=Linear SVM2026.03 | 0.746 | — | |
| BrenierIRBase Model=MLP, k=502026.03 | 0.759 | — | |
| MSBase Model=MLP2026.03 | 0.774 | — | |
| UncalibratedBase Model=Linear SVM2026.03 | 0.784 | — | |
| DirBase Model=MLP2026.03 | 0.828 | — | |
| IRBase Model=MLP2026.03 | 0.853 | — | |
| BinBase Model=Linear SVM2026.03 | 0.855 | — | |
| LTMethod Description=LegendreTron, Number of trials=102026.03 | 0.863 | 58.2 | |
| TSBase Model=Linear SVM2026.03 | 0.896 | — | |
| IRBase Model=Linear SVM2026.03 | 0.905 | — | |
| UncalibratedBase Model=MLP2026.03 | 0.914 | — | |
| BinBase Model=MLP2026.03 | 0.921 | — | |
| OIBase Model=MLP2026.03 | 0.938 | — | |
| LogMethod Description=Standard multinomial logistic regression, L2 regularization strength=1.0, Optimizer=L-BFGS, Number of trials=102026.03 | 1.002 | 58.5 | |
| TSBase Model=MLP2026.03 | 1.066 | — |