Regression on OpenML 618 (5-fold cross-validation)
0.05211-RAELDA
Evaluation results
| Method | Links | |
|---|---|---|
| LDAEvaluation Protocol=5-fold cross-validation2025.11 | 0.0521 | |
| PCAEvaluation Protocol=5-fold cross-validation2025.11 | 0.1016 | |
| AFATEvaluation Protocol=5-fold cross-validation2025.11 | 0.2472 | |
| TTGEvaluation Protocol=5-fold cross-validation2025.11 | 0.3467 | |
| NFSEvaluation Protocol=5-fold cross-validation2025.11 | 0.3473 | |
| ERGEvaluation Protocol=5-fold cross-validation2025.11 | 0.3561 | |
| RDGEvaluation Protocol=5-fold cross-validation2025.11 | 0.372 | |
| OriginalEvaluation Protocol=5-fold cross-validation2025.11 | 0.4402 | |
| OpenFEEvaluation Protocol=5-fold cross-validation2025.11 | 0.4402 | |
| AutoFeatEvaluation Protocol=5-fold cross-validation2025.11 | 0.4407 | |
| RL-Policy-1 (GRFG)Evaluation Protocol=5-fold cross-validation2025.11 | 0.4562 | |
| FeatLLMEvaluation Protocol=5-fold cross-validation2025.11 | 0.4597 | |
| ELLM-FTEvaluation Protocol=5-fold cross-validation2025.11 | 0.4734 | |
| RL-Policy-2 (MOAT)Evaluation Protocol=5-fold cross-validation2025.11 | 0.4734 | |
| Pure LLMLLM Backbone=Llama 3.1, Evaluation Protocol=5-fold cross-validation2025.11 | 0.6653 | |
| DataforgeLLM Backbone=Llama-3.2-3B, Evaluation Protocol=5-fold cross-validation2025.11 | 0.7219 |