Keywords
quality-weighted imputation
missingness rate
paired simulation
reproducibility
Abstract
We evaluated quality-weighted imputation for learner-data imputation under 31% missingness rate. A deterministic paired simulation generated 64 cases and preserved a median slice. Mean inverse imputation error changed from 0.481 to 0.534; the paired difference was +0.053 (95% interval +0.051 to +0.055). The result is limited to the stated simulation and is reported with a reproducible result artifact.
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