IMAGIC-500 is a large synthetic socioeconomic dataset with nested household structure, used to benchmark 14 imputation methods under MCAR, MAR, and MNAR at 10-50% missingness.
An experimental survey of missing data imputation algorithms.IEEE Transactions on Knowledge and Data Engineering, 35(7):6630–6650,
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IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples)
IMAGIC-500 is a large synthetic socioeconomic dataset with nested household structure, used to benchmark 14 imputation methods under MCAR, MAR, and MNAR at 10-50% missingness.