Iris
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Clustering | Iris | ARI0.9 | 29 | |
| Clustering | Iris | SSE95.87 | 24 | |
| Counterfactual Explanation Generation | Iris | R Score1 | 23 | |
| Hierarchical Agglomerative Clustering | iris | Dendrogram Purity94.3 | 20 | |
| Feature Attribution | IRIS | INFD0.007 | 17 | |
| Pairwise-constrained clustering | Iris UCI (full) | SSE83.72 | 15 | |
| Machine Unlearning | Iris 2% (forgotten) | UQI0.312 | 11 | |
| Machine Unlearning | Iris subset 2% (test) | Accuracy100 | 11 | |
| Machine Unlearning | Iris subset 2% (retained) | Accuracy94 | 11 | |
| Full-class forgetting | Iris (test) | Accuracy93.3 | 11 | |
| Full-class forgetting | Iris (retain) | Acc90 | 11 | |
| Visual Question Answering | IRIS 1.0 (ambiguous trials) | Accuracy (Image Only)59.3 | 10 | |
| Classification | Iris (test) | Accuracy100 | 10 | |
| Continual Clustering | Iris | AI NMI0.871 | 9 | |
| Tabular Classification | iris (61) (test) | Test Error Rate2.7 | 9 | |
| Classification | irs (Iris) (test) | Error Rate1.1 | 7 | |
| Membership Inference Attack | Iris | Accuracy72.22 | 6 | |
| Classification | Iris (5-fold cross-val) | Accuracy96.7 | 6 | |
| Classification | Binary Iris (test) | 5th Percentile Accuracy86.7 | 5 | |
| Classification | Iris (UCI) | Accuracy96.1 | 4 | |
| Counterfactual Explanation Generation | iris | Validity100 | 4 | |
| Outlier Explanation | iris | Average Run Time (s)0.0009 | 4 | |
| Classification | Iris (val) | Accuracy98.75 | 4 | |
| Classification | Iris (train) | Training Loss0.0896 | 4 | |
| Clustering | Iris k=3 (test) | ARI0.6051 | 4 |
Showing 25 of 33 rows