Regression on OpenML 586 (5-fold cross-validation)
0.11091-RAELDA
Evaluation results
| Method | Links | |
|---|---|---|
| LDAEvaluation Protocol=5-fold cross-validation2025.11 | 0.1109 | |
| PCAEvaluation Protocol=5-fold cross-validation2025.11 | 0.1109 | |
| AFATEvaluation Protocol=5-fold cross-validation2025.11 | 0.5435 | |
| NFSEvaluation Protocol=5-fold cross-validation2025.11 | 0.5443 | |
| TTGEvaluation Protocol=5-fold cross-validation2025.11 | 0.5443 | |
| RDGEvaluation Protocol=5-fold cross-validation2025.11 | 0.5681 | |
| RL-Policy-1 (GRFG)Evaluation Protocol=5-fold cross-validation2025.11 | 0.5768 | |
| ERGEvaluation Protocol=5-fold cross-validation2025.11 | 0.6147 | |
| RL-Policy-2 (MOAT)Evaluation Protocol=5-fold cross-validation2025.11 | 0.6251 | |
| OriginalEvaluation Protocol=5-fold cross-validation2025.11 | 0.6311 | |
| OpenFEEvaluation Protocol=5-fold cross-validation2025.11 | 0.6311 | |
| ELLM-FTEvaluation Protocol=5-fold cross-validation2025.11 | 0.6328 | |
| AutoFeatEvaluation Protocol=5-fold cross-validation2025.11 | 0.6329 | |
| FeatLLMEvaluation Protocol=5-fold cross-validation2025.11 | 0.6477 | |
| Pure LLMLLM Backbone=Llama 3.1, Evaluation Protocol=5-fold cross-validation2025.11 | 0.7811 | |
| DataforgeLLM Backbone=Llama-3.2-3B, Evaluation Protocol=5-fold cross-validation2025.11 | 0.7849 |