Missing data imputation using classification and regression trees

Background Missing data are common when analyzing real data. One popular solution is to impute missing data so that one complete dataset can be obtained for subsequent data analysis. In the present study, we focus on missing data imputation using classification and regression trees (CART). Methods W...

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Bibliographic Details
Main Authors: Cheng-Yang Chen, Yu-Wei Chang
Format: Article
Language:English
Published: PeerJ Inc. 2024-06-01
Series:PeerJ Computer Science
Subjects:
Online Access:https://peerj.com/articles/cs-2119.pdf