Classification on Adult (test)
86.8Min Test AccuracyOriginal
Evaluation results
| Method | Links | |
|---|---|---|
| OriginalClassifier=KNN2021.06 | 86.8 | |
| OriginalClassifier=RF2021.06 | 85.7 | |
| OriginalClassifier=MLP2021.06 | 85.5 | |
| SklearnModel architecture=Linear model, Loss function=Logistic regression, Solver=L-BFGS2022.05 | 85.28 | |
| Cross-entropyModel architecture=Linear model, Loss function=Cross-entropy2022.05 | 85.28 | |
| HingeModel architecture=Linear model, Loss function=Hinge2022.05 | 85.26 | |
| EXACTModel architecture=Linear model, Loss function=EXACT2022.05 | 85.21 | |
| OriginalClassifier=LR2021.06 | 84.9 | |
| RTOClassifier=RF2021.06 | 84.4 | |
| ReductionClassifier=RF2021.06 | 83.9 | |
| RTOClassifier=MLP2021.06 | 83.5 | |
| ReductionClassifier=MLP2021.06 | 83.5 | |
| ReductionClassifier=LR2021.06 | 83.3 | |
| RTOClassifier=LR2021.06 | 83 | |
| RTOClassifier=KNN2021.06 | 81.3 | |
| Hardt, 2016Classifier=RF2021.06 | 81 | |
| ReductionClassifier=KNN2021.06 | 80.2 | |
| Aoptsampling scheme=Aopt2021.03 | 80.1 | |
| Greedysampling scheme=Greedy2021.03 | 80 | |
| Uniformsampling scheme=Uniform2021.03 | 79.8 | |
| Uncuratedsampling scheme=Uncurated2021.03 | 79.7 | |
| Hardt, 2016Classifier=MLP2021.06 | 79.7 | |
| Hardt, 2016Classifier=LR2021.06 | 79.4 | |
| Hardt, 2016Classifier=KNN2021.06 | 78.7 |