sbrl: Scalable Bayesian Rule Lists Model

An efficient implementation of Scalable Bayesian Rule Lists Algorithm, a competitor algorithm for decision tree algorithms; see Hongyu Yang, Cynthia Rudin, Margo Seltzer (2017) <https://proceedings.mlr.press/v70/yang17h.html>. It builds from pre-mined association rules and have a logical structure identical to a decision list or one-sided decision tree. Fully optimized over rule lists, this algorithm strikes practical balance between accuracy, interpretability, and computational speed.

Package details

AuthorHongyu Yang [aut, cre], Morris Chen [ctb], Cynthia Rudin [aut, ctb], Margo Seltzer [aut, ctb], The President and Fellows of Harvard College [cph]
MaintainerHongyu Yang <edwardyhy1@gmail.com>
LicenseGPL (>= 2)
Version1.4
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("sbrl")

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sbrl documentation built on May 29, 2024, 1:17 a.m.