ML-Based Imputation Methods in R Package VIM: Performance and Considerations
Alexander Kowarik* 1, Johannes Gussenbauer1, Nina Niederhametner1
Abstract
The R package VIM (Visualization and Imputation of Missing Values) has incorporated machine learning (ML)-based imputation methods, including xgboost and GPT models. This presentation will elucidate the recent advancements in VIM, with a special emphasis on the performance of these ML models in handling missing data.