Data Imputation on Yacht
0.1478MAELLM-Forest
Evaluation Results
| Method | Links | |
|---|---|---|
| LLM-ForestApproach=LLM-based2024.10 | 0.1478 | |
| LLM-TreeApproach=LLM-based2024.10 | 0.1528 | |
| TDMApproach=Statistic & Deep Learning2024.10 | 0.1668 | |
| Chain-of-ThoughtApproach=LLM-based2024.10 | 0.1739 | |
| HyperimputeApproach=Statistic & Deep Learning2024.10 | 0.1807 | |
| RemaskerApproach=Statistic & Deep Learning2024.10 | 0.1819 | |
| KNNApproach=Statistic & Deep Learning2024.10 | 0.1937 | |
| MICEApproach=Statistic & Deep Learning2024.10 | 0.2002 | |
| GRAPEApproach=Statistic & Deep Learning2024.10 | 0.215 | |
| Mean ImputationApproach=Statistic & Deep Learning2024.10 | 0.2185 | |
| MiracleApproach=Statistic & Deep Learning2024.10 | 0.2189 | |
| LLM-zeroApproach=LLM-based2024.10 | 0.2231 | |
| Mode ImputationApproach=Statistic & Deep Learning2024.10 | 0.2256 | |
| GAINApproach=Statistic & Deep Learning2024.10 | 1.3642 |