Classification on PimaIndian Kaggle (5-fold cross-validation)
90.14Macro F1 ScoreDataforge
Evaluation Results
| Method | Links | |
|---|---|---|
| DataforgeLLM Backbone=Llama-3.2-3B, Evaluation Protocol=5-fold cross-validation2025.11 | 90.14 | |
| FeatLLMEvaluation Protocol=5-fold cross-validation2025.11 | 89.66 | |
| ELLM-FTEvaluation Protocol=5-fold cross-validation2025.11 | 89.66 | |
| Pure LLMLLM Backbone=Llama 3.1, Evaluation Protocol=5-fold cross-validation2025.11 | 89.66 | |
| AutoFeatEvaluation Protocol=5-fold cross-validation2025.11 | 80.86 | |
| OpenFEEvaluation Protocol=5-fold cross-validation2025.11 | 80.86 | |
| RL-Policy-2 (MOAT)Evaluation Protocol=5-fold cross-validation2025.11 | 80.73 | |
| OriginalEvaluation Protocol=5-fold cross-validation2025.11 | 80.68 | |
| CAAFEEvaluation Protocol=5-fold cross-validation2025.11 | 79.86 | |
| AFATEvaluation Protocol=5-fold cross-validation2025.11 | 76.56 | |
| ERGEvaluation Protocol=5-fold cross-validation2025.11 | 76.17 | |
| RDGEvaluation Protocol=5-fold cross-validation2025.11 | 76.04 | |
| RL-Policy-1 (GRFG)Evaluation Protocol=5-fold cross-validation2025.11 | 75.39 | |
| NFSEvaluation Protocol=5-fold cross-validation2025.11 | 74.87 | |
| TTGEvaluation Protocol=5-fold cross-validation2025.11 | 74.48 | |
| LDAEvaluation Protocol=5-fold cross-validation2025.11 | 63.8 | |
| PCAEvaluation Protocol=5-fold cross-validation2025.11 | 63.8 |