Iris
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Robustness Verification | Iris dataset (test) | Vulnerable Samples0 | 90 | |
| Robustness verification | Iris | Vulnerable Samples Count0 | 50 | |
| Robustness Verification | Iris Sigmoid Network | Vulnerable Samples0 | 50 | |
| Classification | Iris LDLSS | Accuracy97.33 | 46 | |
| Clustering | Iris | ARI0.9 | 36 | |
| Counterfactual Explanation Generation | Iris | L2 Distance1.5 | 30 | |
| Online Class-Incremental Learning | Iris | Final Mean Accuracy97.3 | 26 | |
| Clustering | Iris | SSE95.87 | 24 | |
| Classification | Iris (test) | Accuracy100 | 24 | |
| Counterfactual Explanation Generation | iris | Validity100 | 20 | |
| Hierarchical Agglomerative Clustering | iris | Dendrogram Purity94.3 | 20 | |
| Tabular Classification | Iris (test) | Accuracy100 | 18 | |
| Multiclass Classification | iris | Accuracy97.33 | 18 | |
| Feature Attribution | IRIS | INFD0.007 | 17 | |
| Classification | Iris | Accuracy100 | 16 | |
| Continual Clustering | Iris | AI NMI0.871 | 16 | |
| Clustering | Iris | AMI0.845 | 15 | |
| Pairwise-constrained clustering | Iris UCI (full) | SSE83.72 | 15 | |
| Counterfactual Explanation Diversity | Iris | Diversity2.92 | 13 | |
| Classification | Iris (train) | Training Loss0.0896 | 12 | |
| Online Class Incremental Learning | Iris | Average Forgetting2 | 11 | |
| Explanation Regularity | Iris | Regularity0.838 | 11 | |
| Explanation Fidelity Estimation | Iris | Fidelity (R2 Score)0.86 | 11 | |
| Explanation Stability | Iris | Stability Score100 | 11 | |
| Machine Unlearning | Iris 2% (forgotten) | UQI0.312 | 11 |
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