455

Unmasking Trees for Tabular Data

Main:13 Pages
5 Figures
Bibliography:4 Pages
10 Tables
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.

View on arXiv
Comments on this paper