Package: bsnsing 1.0.1
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>.
Authors:
bsnsing_1.0.1.tar.gz
bsnsing_1.0.1.zip(r-4.5)bsnsing_1.0.1.zip(r-4.4)bsnsing_1.0.1.zip(r-4.3)
bsnsing_1.0.1.tgz(r-4.4-any)bsnsing_1.0.1.tgz(r-4.3-any)
bsnsing_1.0.1.tar.gz(r-4.5-noble)bsnsing_1.0.1.tar.gz(r-4.4-noble)
bsnsing_1.0.1.tgz(r-4.4-emscripten)bsnsing_1.0.1.tgz(r-4.3-emscripten)
bsnsing.pdf |bsnsing.html✨
bsnsing/json (API)
# Install 'bsnsing' in R: |
install.packages('bsnsing', repos = c('https://profyliu.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/profyliu/bsnsing/issues
- BreastCancer - BreastCancer
- GlaucomaMVF - GlaucomaMVF
- auto - Auto
- iris - Iris
Last updated 2 years agofrom:c6abcc9f4e. Checks:OK: 1 WARNING: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 17 2024 |
R-4.5-win | WARNING | Nov 17 2024 |
R-4.5-linux | WARNING | Nov 17 2024 |
R-4.4-win | WARNING | Nov 17 2024 |
R-4.4-mac | WARNING | Nov 17 2024 |
R-4.3-win | WARNING | Nov 17 2024 |
R-4.3-mac | WARNING | Nov 17 2024 |
Exports:binarizebinarize.ybscontrolbslearnbsnsingROC_funcshow.bsnsingshow.mbsnsing
Dependencies:lpSolve