Shadbahr et al. highlight the importance of evaluating imputation quality when building classification models for incomplete data. They demonstrate how a model built on poorly imputed data can compromise the classifier, and develop a new method for assessing imputation quality based on how well the overall data distribution is preserved.
- Tolou Shadbahr
- Michael Roberts
- Carola-Bibiane Schönlieb
