Regression on Openml_586
0.11091-RAEPCA
Evaluation results
| Method | Links | |
|---|---|---|
| PCASamples=1,000, Features=25, Evaluation Protocol=5-fold cross-validation2026.02 | 0.1109 | |
| LDASamples=1,000, Features=25, Evaluation Protocol=5-fold cross-validation2026.02 | 0.1109 | |
| LDASource=OpenML, Samples=1000, Features=252026.02 | 0.472 | |
| AFATSamples=1,000, Features=25, Evaluation Protocol=5-fold cross-validation2026.02 | 0.5435 | |
| NFSSamples=1,000, Features=25, Evaluation Protocol=5-fold cross-validation2026.02 | 0.5443 | |
| TTGSamples=1,000, Features=25, Evaluation Protocol=5-fold cross-validation2026.02 | 0.5443 | |
| ERGSource=OpenML, Samples=1000, Features=252026.02 | 0.546 | |
| RDGSamples=1,000, Features=25, Evaluation Protocol=5-fold cross-validation2026.02 | 0.5681 | |
| GRFGSamples=1,000, Features=25, Evaluation Protocol=5-fold cross-validation2026.02 | 0.5768 | |
| RDGSource=OpenML, Samples=1000, Features=252026.02 | 0.595 | |
| ERGSamples=1,000, Features=25, Evaluation Protocol=5-fold cross-validation2026.02 | 0.6147 | |
| MOATSamples=1,000, Features=25, Evaluation Protocol=5-fold cross-validation2026.02 | 0.6251 | |
| OriginalSamples=1,000, Features=25, Evaluation Protocol=5-fold cross-validation2026.02 | 0.6311 | |
| OpenFESamples=1,000, Features=25, Evaluation Protocol=5-fold cross-validation2026.02 | 0.6311 | |
| ELLM-FTSamples=1,000, Features=25, Evaluation Protocol=5-fold cross-validation2026.02 | 0.6328 | |
| AutoFeatSamples=1,000, Features=25, Evaluation Protocol=5-fold cross-validation2026.02 | 0.6329 | |
| FeatLLMSamples=1,000, Features=25, Evaluation Protocol=5-fold cross-validation2026.02 | 0.6477 | |
| AFTSource=OpenML, Samples=1000, Features=252026.02 | 0.687 | |
| TTGSource=OpenML, Samples=1000, Features=252026.02 | 0.704 | |
| Evolving Demonstration OptimizationSamples=1,000, Features=25, Evaluation Protocol=5-fold cross-validation2026.02 | 0.7406 | |
| NFSSource=OpenML, Samples=1000, Features=252026.02 | 0.748 | |
| GRFGSource=OpenML, Samples=1000, Features=252026.02 | 0.783 | |
| ELLM-FTSource=OpenML, Samples=1000, Features=252026.02 | 0.801 | |
| CAFESource=OpenML, Samples=1000, Features=252026.02 | 0.81 |