Multiclass Classification on balance-scale
95.8AccuracySBN
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| SBN2025.07 | 95.8 | 0.016 | 0.002 | — | — | |
| LTMethod Description=LegendreTron, Number of trials=102026.03 | 91 | — | — | — | 0.17 | |
| BIR30Method Description=Brenier Isotonic Regression, k=30, Iterations=100, Number of trials=102026.03 | 89.5 | — | — | — | 0.117 | |
| LogMethod Description=Standard multinomial logistic regression, L2 regularization strength=1.0, Optimizer=L-BFGS, Number of trials=102026.03 | 86 | — | — | — | 0.227 | |
| XGBoost2025.07 | 85.5 | 0.024 | 0.002 | — | — | |
| CLSMethod Description=Calibrated least squares, Bases={z, z2, z3}, Iterations=2000, Number of trials=102026.03 | 68.2 | — | — | — | 0.507 |