Kin8nm
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Regression | kin8nm | NCIW0.194 | 22 | |
| Regression | Kin8nm UCI (test) | RMSE0.078 | 14 | |
| Regression | kin8nm | Interval Score Loss0.327 | 11 | |
| Regression | kin8nm | Quantile Loss0.0041 | 11 | |
| Feature Selection | KIN8NM | Fidelity0.5146 | 10 | |
| Regression | Kin8nm | NLL-1.24 | 10 | |
| Regression | kin8nm (test) | Test Log Likelihood1.4 | 9 | |
| Regression | kin8nm CV (test) | R2 Score0.92 | 8 | |
| Regression | Kin8nm OOD rescaled by 0.1 non-normalized UCI (test) | RMSE0.26 | 8 | |
| Regression | Kin8nm | Relative Percentage Error1 | 8 | |
| Regression | Kin8nm | Avg NLL Relative Percentage22 | 8 | |
| Bayesian Neural Network Inference | Kin8nm UCI (test) | Test Log-Likelihood1.25 | 8 | |
| Regression | Kin8nm UCI rescaled 3x std normalized (test) | RMSE0.25 | 7 | |
| Regression | Kin8nm | Average Training Time (s)1.507 | 6 | |
| Bayesian neural network regression | Kin8nm (test) | RMSE0.089 | 6 | |
| Out-of-distribution detection | Kin8nm (UCI) (test) | Accuracy (OOD)100 | 5 | |
| Regression | Kin8nm | RMSE6.32 | 5 | |
| Regression | Kin8nm | QICE0.92 | 5 | |
| Faithfulness under retraining | Kin8nm | AURC7.7 | 4 | |
| Regression | Kin8nm with outliers | Predictive MSE8.86 | 4 | |
| Instance attribution explanation | Kin8nm (test) | Wall-clock Time (s)0.13 | 3 | |
| Target sensitivity estimation | Kin8nm (test) | Pearson Correlation Coefficient (r)1 | 3 | |
| Tabular Regression | Kin8nm | Cmarg0.9 | 3 | |
| Regression | kin8nm | NCIW25.8 | 2 | |
| Regression | UCI Kin8nm | ELBO-0.13 | 2 |
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