Data Imputation on Concrete
0.1036MAELLM-Forest
Evaluation Results
| Method | Links | |
|---|---|---|
| LLM-ForestApproach=LLM-based2024.10 | 0.1036 | |
| LLM-TreeApproach=LLM-based2024.10 | 0.1105 | |
| RemaskerApproach=Statistic & Deep Learning2024.10 | 0.1159 | |
| HyperimputeApproach=Statistic & Deep Learning2024.10 | 0.131 | |
| MiracleApproach=Statistic & Deep Learning2024.10 | 0.132 | |
| MICEApproach=Statistic & Deep Learning2024.10 | 0.1357 | |
| KNNApproach=Statistic & Deep Learning2024.10 | 0.158 | |
| TDMApproach=Statistic & Deep Learning2024.10 | 0.1678 | |
| Mean ImputationApproach=Statistic & Deep Learning2024.10 | 0.1814 | |
| GRAPEApproach=Statistic & Deep Learning2024.10 | 0.1816 | |
| GAINApproach=Statistic & Deep Learning2024.10 | 0.1831 | |
| LLM-zeroApproach=LLM-based2024.10 | 0.1959 | |
| Chain-of-ThoughtApproach=LLM-based2024.10 | 0.1991 | |
| Mode ImputationApproach=Statistic & Deep Learning2024.10 | 0.2568 |