arXiv Open Access 2013

bartMachine: Machine Learning with Bayesian Additive Regression Trees

Adam Kapelner Justin Bleich

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Abstrak

We present a new package in R implementing Bayesian additive regression trees (BART). The package introduces many new features for data analysis using BART such as variable selection, interaction detection, model diagnostic plots, incorporation of missing data and the ability to save trees for future prediction. It is significantly faster than the current R implementation, parallelized, and capable of handling both large sample sizes and high-dimensional data.

Topik & Kata Kunci

stat.ML cs.LG

Penulis (2)

Adam Kapelner

Justin Bleich

Format Sitasi

APA MLA BibTeX

Kapelner, A., Bleich, J. (2013). bartMachine: Machine Learning with Bayesian Additive Regression Trees. https://arxiv.org/abs/1312.2171

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Informasi Jurnal

Tahun Terbit: 2013
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓