| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Classification | sonar | Accuracy86.6 | 35 | |
| Binary Classification | sonar | F1-score92.2 | 28 | |
| Audio Deepfake Detection | SONAR | EER0.91 | 19 | |
| Classification | sonar 25% feature noise | Accuracy87.5 | 14 | |
| Binary Classification | sonar 25% label noise | Mean F1-Score83.8 | 14 | |
| Classification | sonar 25% label noise (test) | Accuracy82.6 | 14 | |
| Binary Classification | sonar 25% feature noise | F1 Score88.1 | 14 | |
| Classification | Sonar (10-fold cross-validation) | AUC82 | 12 | |
| Missing data imputation | Sonar 30% MCAR | AvgErr0.215 | 11 | |
| Clustering | Sonar 60D | ARI1 | 10 | |
| Cluster Validation | Sonar | PWRS0.69 | 10 | |
| Counterfactual Explanation | sonar | Validity1 | 8 | |
| Binary Classification | Sonar (test) | Mean F1 Score90.2096 | 8 | |
| Classification | sonar | F1-score79.2 | 7 | |
| Classification | sonar 0% noise (test) | Accuracy91.4 | 7 | |
| Classification | sonar 0% noise | F1-score80 | 7 | |
| Classification | sonar (test) | Accuracy76.4 | 7 | |
| Binary classification | sonar UCI (test) | Accuracy87 | 7 | |
| Classification | sonar 25% feature noise (test) | F1-score80.1 | 7 | |
| Binary Classification | sonar 25% feature noise (test) | Accuracy78.9 | 7 | |
| Binary Classification | sonar 0% noise | Accuracy79.4 | 7 | |
| Bayesian logistic regression | Sonar d=34 | Avg. Posterior Log-Likelihood-109.14 | 7 | |
| Bayesian logistic regression | Sonar d = 61 (test) | Predictive Likelihood-108.62 | 7 | |
| Audio Deepfake Detection | SONAR | F1 Score78.2 | 7 | |
| Bayesian A-optimal Design | Sonar | Objective Value613.84 | 6 |