Shouxuan Liu

Towards A Distribution Alignment Framework for Incomplete Data Classification

Missing attribute values frequently affect data classification, reducing accuracy as most models rely on complete datasets. Imputing missing values is typically used to restore data completeness, which is essential for building models. The effectiveness of imputation significantly impacts the classi…