Insurance
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Regression | Insurance (test) | RMSE0.459 | 45 | |
| Regression | Insurance | R^25.26 | 36 | |
| Bayesian network structure discovery | Insurance | SHD35.6 | 26 | |
| Regression | insurance | nRMSE0.355 | 18 | |
| Regression | insurance | NCIW0.291 | 17 | |
| Causal Discovery | Insurance n=27 | SHD11 | 14 | |
| Causal Discovery | Insurance | F1 Score85 | 13 | |
| Causal discovery | Insurance averaged over n ∈ {500, 1000, 5000, 10000} (synthetic) | RNB0.663 | 11 | |
| Imbalanced Classification | insurance | F1-score92.53 | 11 | |
| Regression | insurance | Interval Score Loss27,000 | 11 | |
| Regression | insurance | Quantile Loss340 | 11 | |
| Regression | insurance | PICP96 | 11 | |
| Regression | Insurance TabArena v0.1 (test) | RMSE4,439.8 | 10 | |
| Regression | Insurance N=800 (train) | R-squared0.85 | 9 | |
| Regression | Insurance N=400 (train) | R^20.85 | 9 | |
| Direct recommendation | Insurance | Hit@182.53 | 8 | |
| Ordinal Classification | insurance | COV0.901 | 7 | |
| Regression | insurance | RMSE1.189 | 6 | |
| Regression | insurance 10^3 scaling (five-fold cross-val) | RMSE4.969 | 6 | |
| Downstream Regression | Insurance | ML Efficiency151.314 | 6 | |
| DAG Learning | Insurance | SHD13 | 6 | |
| DAG Structure Learning | Insurance | Directed Edge F183 | 6 | |
| Downstream Regression | Insurance (test) | R2 Score (Test)0.714 | 5 | |
| Prediction Interval Estimation | insurance | NCIW0.35 | 5 | |
| Ranking direct causal variables | Insurance Airbag | Average Ranking3.54 | 5 |
Showing 25 of 43 rows