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Data Imputation on Gliomas

84.41AccuracyLLM-Forest
71.503674.854378.20581.5557Oct 28, 2024

Evaluation results

MethodLinks
LLM-ForestApproach=LLM-based2024.1084.41
LLM-Forestbase_llm=GPT-42024.1084.41
LLM-Forestbase_llm=Mixtral2024.1084.34
MICEApproach=Statistic & Deep Learning2024.1084.15
MICE2024.1084.15
GAINApproach=Statistic & Deep Learning2024.1084.13
GAIN2024.1084.13
KNNApproach=Statistic & Deep Learning2024.1083.92
KNNk=52024.1083.92
LLM-TreeApproach=LLM-based2024.1083.55
LLM-tree2024.1083.55
RemaskerApproach=Statistic & Deep Learning2024.1083.45
Remasker2024.1083.45
Mean ImputationApproach=Statistic & Deep Learning2024.1083.29
Mode ImputationApproach=Statistic & Deep Learning2024.1083.29
Mean Imputation2024.1083.29
Mode Imputation2024.1083.29
LLM-Forestbase_llm=Claude-3.52024.1082.97
Chain-of-ThoughtApproach=LLM-based2024.1081.83
Chain-of-Thought2024.1081.83
GRAPEApproach=Statistic & Deep Learning2024.1081.36
GRAPE2024.1081.36
TDMApproach=Statistic & Deep Learning2024.1079.8
TDM2024.1079.8
LLM-zeroApproach=LLM-based2024.1077.86
LLM-zero2024.1077.86
MiracleApproach=Statistic & Deep Learning2024.1077.73
Miracle2024.1077.73
HyperimputeApproach=Statistic & Deep Learning2024.1072
Hyperimpute2024.1072