CRAN/E | bsnsing

bsnsing

Build Decision Trees with Optimal Multivariate Splits

Installation

About

Functions for training an optimal decision tree classifier, making predictions and generating latex code for plotting. Works for two-class and multi-class classification problems. The algorithm seeks the optimal Boolean rule consisting of multiple variables to split a node, resulting in shorter trees. Use bsnsing() to build a tree, predict() to make predictions and plot() to plot the tree into latex and PDF. See Yanchao Liu (2022) for technical details. Source code and more data sets are at .

Key Metrics

Version 1.0.1
Published 2022-07-03 656 days ago
Needs compilation? yes
License GPL-3
CRAN checks bsnsing results

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Maintainer

Maintainer

Yanchao Liu

yanchaoliu@wayne.edu

Authors

Yanchao Liu

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Imports

methods
Rcpp ≥ 1.0.3

Suggests

C50
party
rpart
tree

LinkingTo

Rcpp