R packages by 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>.

Last updated 3 years ago

3.54 score 7 stars 1 scripts 174 downloads

brif - A Tree and Forest Tool for Classification and Regression

Build decision trees and random forests for classification and regression. The implementation strikes a balance between minimizing computing efforts and maximizing the expected predictive accuracy, thus scales well to large data sets. Multi-threading is available through 'OpenMP' <https://gcc.gnu.org/wiki/openmp>.

Last updated 2 years ago

cppopenmp

1.00 score 300 downloads