Classification on balance-scale (test)
92AccuracySklearn
Evaluation results
| Method | Links | |
|---|---|---|
| SklearnModel architecture=Linear model, Loss function=Logistic regression, Solver=L-BFGS2022.05 | 92 | |
| Cross-entropyModel architecture=Linear model, Loss function=Cross-entropy2022.05 | 92 | |
| HingeModel architecture=Linear model, Loss function=Hinge2022.05 | 92 | |
| EXACTModel architecture=Linear model, Loss function=EXACT2022.05 | 92 | |
| DTSemNetNf=4, Nc=3, Ns=625, Best-performing height=2, Max tree height=42026.05 | 90.2 | |
| DGTNf=4, Nc=3, Ns=625, Best-performing height=4, Max tree height=42026.05 | 88.6 | |
| CRO-DTNf=4, Nc=3, Ns=625, Best-performing height=4, Max tree height=42026.05 | 77.8 | |
| TAONf=4, Nc=3, Ns=625, Best-performing height=4, Max tree height=42026.05 | 77.4 | |
| CARTNf=4, Nc=3, Ns=625, Best-performing height=4, Max tree height=42026.05 | 74.9 |