bsnsing
Build Decision Trees with Optimal Multivariate Splits
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) doi:10.48550/arXiv.2205.15263 for technical details. Source code and more data sets are at https://github.com/profyliu/bsnsing/.
- Version1.0.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release07/03/2022
Documentation
Team
Yanchao Liu
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Last 30 days
This package has been downloaded 163 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.
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Last 365 days
This package has been downloaded 2,268 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 21, 2024 with 133 downloads.
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Dependencies
- Imports1 package
- Suggests4 packages
- Linking To1 package