Unmasking Trees for Tabular Data
Main:13 Pages
5 Figures
Bibliography:4 Pages
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Appendix:3 Pages
Abstract
We herein describe UnmaskingTrees, a method and open-source software package for tabular data generation and, especially, imputation. Our experiments suggest that training gradient-boosted trees to incrementally unmask features offers a simple, strong baseline for imputation.
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