Housing
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Regression | Housing | RMSE0.214 | 32 | |
| Tabular Regression | Housing (test) | MAPE21 | 18 | |
| Counterfactual Explanations | housing | Validity49.4 | 15 | |
| Conditional Anomaly Detection | Housing (UCI ML) | Mean Anomaly Agreement Score (AUC)71.3 | 15 | |
| Data Imputation | Housing | MAE0.0948 | 14 | |
| Regression | housing | Mean MSE12.31 | 12 | |
| Partial Dependence Plot (PDP) Calculation | housing | Running Time (s)0.03 | 10 | |
| Regression | Housing real (test) | RMSE0.188 | 10 | |
| Correlation Estimation | Housing | Error Rate1.86 | 9 | |
| Column-wise density estimation | Housing | Error Rate1.17 | 9 | |
| Detectability | Housing | C2ST Score99.5 | 9 | |
| Regression | Housing | Normalized AUC (RMSE)1 | 9 | |
| Regression | Housing | Min Epsilon0.0039 | 9 | |
| Discriminator Measure | Housing | Accuracy94.12 | 8 | |
| Tabular Data Generation | Housing | Training Time (min)5.01 | 8 | |
| Tabular Data Generation | Housing | Alpha Precision99 | 8 | |
| Sample generation | housing | Standardized Energy Distance7.8 | 8 | |
| Spatial Regression | Housing (spatial cv) | R^20.838 | 8 | |
| Spatial Regression | Housing (random cv) | R^289.6 | 8 | |
| Spatial Regression | Housing (in sample) | R294.1 | 8 | |
| Private Decision Tree Evaluation | housing | Online Running Time1.8 | 8 | |
| Regression | Housing holdout (test) | MSE13.683 | 7 | |
| Regression | housing 10^4 scaling (five-fold cross-validation) | RMSE4.525 | 6 | |
| Bayesian A-optimal Design | Housing | Objective Value54.64 | 6 | |
| Heteroskedastic Regression | Housing (test) | Lambda^-0.5 MSE0.76 | 5 |
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