Addressing the problem of missing data in decision tree modeling

DOI10.1080/02664763.2017.1284184OpenAlexW2585090181MaRDI QIDQ5139013

Azam Rastegari, Mohammad Reza Baneshi, Saiedeh Haji-Maghsoudi, Behshid Garrusi

Publication date: 4 December 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2017.1284184

zbMATH Keywords

imputationmissingsurrogateprediction tree modeling

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Recursive partitioning on incomplete data using surrogate decisions and multiple imputation
• Unbiased split selection for classification trees based on the Gini index
• Using model trees for classification

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