Classification on Iris (Accuracy)
100AccuracyFeaSTAP
Evaluation results
| Method | Links | |
|---|---|---|
| FeaSTAPhidden layer size=no, inputs=3, iterations=3002026.04 | 100 | |
| BPrulehidden layer size=2, inputs=4, iterations=7002026.04 | 96.2 | |
| SVM2026.03 | 96 | |
| ANNThidden layer size=2, inputs=4, iterations=3002026.04 | 95.3 | |
| FeaSANNThidden layer size=2, inputs=1.5, iterations=4002026.04 | 94.7 | |
| Bipolar2026.03 | 93.5 | |
| ARIA2026.03 | 93.3 | |
| Co-EvolvedEnsemble Size=32026.06 | 93.1 | |
| CTGANvalidation=5-fold cross-validation2026.04 | 92 | |
| n-ARIA2026.03 | 90.9 | |
| Post-EvolvedEnsemble Size=32026.06 | 89 | |
| TVAEvalidation=5-fold cross-validation2026.04 | 87 | |
| GREATvalidation=5-fold cross-validation2026.04 | 83.5 | |
| Single Net.Ensemble Size=12026.06 | 82.8 | |
| SPADAvalidation=5-fold cross-validation2026.04 | 67.5 | |
| GRADEvalidation=5-fold cross-validation2026.04 | 57 | |
| SAGEvariant=Feature Selector (FS), validation=5-fold cross-validation2026.04 | 54.5 | |
| TabSynvalidation=5-fold cross-validation2026.04 | 53 | |
| SAGEvariant=Logit Correction (LC), validation=5-fold cross-validation2026.04 | 51.5 |