Data Imputation on Wine
0.0768MAELLM-Forest
Evaluation Results
| Method | Links | |
|---|---|---|
| LLM-ForestApproach=LLM-based2024.10 | 0.0768 | |
| RemaskerApproach=Statistic & Deep Learning2024.10 | 0.078 | |
| HyperimputeApproach=Statistic & Deep Learning2024.10 | 0.0788 | |
| LLM-TreeApproach=LLM-based2024.10 | 0.0816 | |
| MiracleApproach=Statistic & Deep Learning2024.10 | 0.082 | |
| MICEApproach=Statistic & Deep Learning2024.10 | 0.0921 | |
| Mean ImputationApproach=Statistic & Deep Learning2024.10 | 0.0988 | |
| Chain-of-ThoughtApproach=LLM-based2024.10 | 0.099 | |
| TDMApproach=Statistic & Deep Learning2024.10 | 0.1 | |
| KNNApproach=Statistic & Deep Learning2024.10 | 0.106 | |
| GAINApproach=Statistic & Deep Learning2024.10 | 0.1085 | |
| LLM-zeroApproach=LLM-based2024.10 | 0.1123 | |
| Mode ImputationApproach=Statistic & Deep Learning2024.10 | 0.1142 | |
| GRAPEApproach=Statistic & Deep Learning2024.10 | 0.1564 |