A classifier ensemble approach for the missing feature problem

摘要

ObjectivesMany classification problems must deal with data that contains missing values. In such cases data imputation is critical. This paper evaluates the performance of several statistical and machine learning imputation methods, including our novel multiple imputation ensemble approach, using different datasets.