Data Imputation on Gliomas
84.41AccuracyLLM-Forest
Evaluation Results
| Method | Links | |
|---|---|---|
| LLM-ForestApproach=LLM-based2024.10 | 84.41 | |
| LLM-Forestbase_llm=GPT-42024.10 | 84.41 | |
| LLM-Forestbase_llm=Mixtral2024.10 | 84.34 | |
| MICEApproach=Statistic & Deep Learning2024.10 | 84.15 | |
| MICE2024.10 | 84.15 | |
| GAINApproach=Statistic & Deep Learning2024.10 | 84.13 | |
| GAIN2024.10 | 84.13 | |
| KNNApproach=Statistic & Deep Learning2024.10 | 83.92 | |
| KNNk=52024.10 | 83.92 | |
| LLM-TreeApproach=LLM-based2024.10 | 83.55 | |
| LLM-tree2024.10 | 83.55 | |
| RemaskerApproach=Statistic & Deep Learning2024.10 | 83.45 | |
| Remasker2024.10 | 83.45 | |
| Mean ImputationApproach=Statistic & Deep Learning2024.10 | 83.29 | |
| Mode ImputationApproach=Statistic & Deep Learning2024.10 | 83.29 | |
| Mean Imputation2024.10 | 83.29 | |
| Mode Imputation2024.10 | 83.29 | |
| LLM-Forestbase_llm=Claude-3.52024.10 | 82.97 | |
| Chain-of-ThoughtApproach=LLM-based2024.10 | 81.83 | |
| Chain-of-Thought2024.10 | 81.83 | |
| GRAPEApproach=Statistic & Deep Learning2024.10 | 81.36 | |
| GRAPE2024.10 | 81.36 | |
| TDMApproach=Statistic & Deep Learning2024.10 | 79.8 | |
| TDM2024.10 | 79.8 | |
| LLM-zeroApproach=LLM-based2024.10 | 77.86 | |
| LLM-zero2024.10 | 77.86 | |
| MiracleApproach=Statistic & Deep Learning2024.10 | 77.73 | |
| Miracle2024.10 | 77.73 | |
| HyperimputeApproach=Statistic & Deep Learning2024.10 | 72 | |
| Hyperimpute2024.10 | 72 |