Data Imputation on Diabetes (1/3 omitted)
63.21AccuracyLLM-Forest
Evaluation results
| Method | Links | |
|---|---|---|
| LLM-Forestbase_llm=Mixtral2024.10 | 63.21 | |
| LLM-Forestbase_llm=GPT-42024.10 | 63.18 | |
| LLM-tree2024.10 | 62.46 | |
| KNNk=72024.10 | 62.07 | |
| GRAPE2024.10 | 61.26 | |
| Mode Imputation2024.10 | 61.25 | |
| Chain-of-Thought2024.10 | 61.24 | |
| LLM-Forestbase_llm=Claude-3.52024.10 | 59.02 | |
| MICE2024.10 | 57.54 | |
| Remasker2024.10 | 57.16 | |
| LLM-zero2024.10 | 55.8 | |
| GAIN2024.10 | 54.18 | |
| Mean Imputation2024.10 | 53.9 | |
| Miracle2024.10 | 52.47 | |
| Hyperimpute2024.10 | 52.35 | |
| TDM2024.10 | 52.1 |