Binary Classification on Adult Census Survey 1994
66F1 ScoreReal
Evaluation results
| Method | Links | ||
|---|---|---|---|
| RealTraining Data=Real tabular data2022.02 | 66 | 88 | |
| IT-GAN (Q)Training Data=Synthetic (TSTR), Evaluation Protocol=Average of SVM, DecisionTree, AdaBoost, MLP, Log-density regularization=Positive gamma2022.02 | 64 | 86 | |
| IT-GAN(L)Training Data=Synthetic (TSTR), Evaluation Protocol=Average of SVM, DecisionTree, AdaBoost, MLP, Log-density regularization=Negative gamma2022.02 | 64 | 85 | |
| IT-GANTraining Data=Synthetic (TSTR), Evaluation Protocol=Average of SVM, DecisionTree, AdaBoost, MLP, Log-density regularization=None2022.02 | 64 | 86 | |
| TGANTraining Data=Synthetic (TSTR), Evaluation Protocol=Average of SVM, DecisionTree, AdaBoost, MLP2022.02 | 63 | 85 | |
| TVAETraining Data=Synthetic (TSTR), Evaluation Protocol=Average of SVM, DecisionTree, AdaBoost, MLP2022.02 | 62 | 84 | |
| TableGANTraining Data=Synthetic (TSTR), Evaluation Protocol=Average of SVM, DecisionTree, AdaBoost, MLP2022.02 | 46 | 81 | |
| PrivBNTraining Data=Synthetic (TSTR), Evaluation Protocol=Average of SVM, DecisionTree, AdaBoost, MLP2022.02 | 43 | 84 |