An Explainable Bayesian Decision Tree Algorithm

An Explainable Bayesian Decision Tree Algorithm

Bayesian Decision Trees provide a probabilistic framework that reduces the instability of Decision Trees while maintaining their explainability. While Markov Chain Monte Carlo methods are typically used to construct Bayesian Decision Trees, here we provide a deterministic Bayesian Decision Tree algo...

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Bibliographic Details
Main Authors: Giuseppe Nuti, Lluís Antoni Jiménez Rugama, Andreea-Ingrid Cross
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Applied Mathematics and Statistics
Subjects:
explainable machine learning
Bayesian statistics
greedy algorithms
Bayesian decision trees
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Online Access:https://www.frontiersin.org/articles/10.3389/fams.2021.598833/full

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https://www.frontiersin.org/articles/10.3389/fams.2021.598833/full

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