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>.
Package details |
|
---|---|
Author | Yanchao Liu |
Maintainer | Yanchao Liu <yanchaoliu@wayne.edu> |
License | GPL-3 |
Version | 1.0.1 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.