Meta-Tree Random Forest: Probabilistic Data-Generative Model and Bayes Optimal Prediction

Meta-Tree Random Forest: Probabilistic Data-Generative Model and Bayes Optimal Prediction

This paper deals with a prediction problem of a new targeting variable corresponding to a new explanatory variable given a training dataset. To predict the targeting variable, we consider a model tree, which is used to represent a conditional probabilistic structure of a targeting variable given an...

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Bibliographic Details
Main Authors: Nao Dobashi, Shota Saito, Yuta Nakahara, Toshiyasu Matsushima
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Entropy
Subjects:
bayes decision theory
data-generative model
meta-tree
prediction
random forest
Online Access:https://www.mdpi.com/1099-4300/23/6/768

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