profyliu/bsnsing: Bsnsing: A Decision Tree Induction Method Based on Recursive Optimal Boolean Rule Composition

The bsnsing package provides functions for training a decision tree classifier, making predictions and generating latex code for plotting. It solves the two-class and multi-class classification problems under the supervised learning paradigm. While building a decision tree, bsnsing uses a Boolean rule involving multiple variables to split a node. Each split rule is identified by solving an optimization problem. Use the bsnsing function to build a tree, the predict function to make predictions and the show function to plot the tree. The paper is at <arXiv:2205.15263>. Source code and more data sets are at <https://github.com/profyliu/bsnsing>.

Getting started

Package details

AuthorYanchao Liu
MaintainerYanchao Liu <yanchaoliu@wayne.edu>
LicenseGPL-3
Version1.0.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("profyliu/bsnsing")
profyliu/bsnsing documentation built on July 5, 2022, 8:10 a.m.