R Package Scholar
17,011

C50: C5.0 Decision Trees and Rule-Based Models

Max Kuhn  Steve Weston  Mark Culp  Nathan Coulter  Ross Quinlan  RuleQuest Research  Rulequest Research Pty Ltd.   View description and downloadsView dependenciesGitHub project

2012 Published
0.1.8 Version
0 Citations
7 Authors
Referenced by ⇅ Year
mlr: Machine Learning in R (Version 2.19.1)

2013
MLPUGS: Multi-Label Prediction Using Gibbs Sampling (and Classifier Chains) (Version 0.2.0)

2016
MachineShop: Machine Learning Models and Tools (Version 3.7.0)

2018
MetabolomicsBasics: Basic Functions to Investigate Metabolomics Data Matrices (Version 1.4.5)

2018
ModTools: Tools for Building Regression and Classification Models (Version 0.9.6)

2021
SSLR: Semi-Supervised Classification, Regression and Clustering Methods (Version 0.9.3.3)

2020
StratifiedRF: Builds Trees by Sampling Variables in Groups (Version 0.2.2)

2017
baguette: Efficient Model Functions for Bagging (Version 1.0.2)

2020
bsnsing: Build Decision Trees with Optimal Multivariate Splits (Version 1.0.1)

2022
butcher: Model Butcher (Version 0.3.4)

2019
condvis2: Interactive Conditional Visualization for Supervised and Unsupervised Models in Shiny (Version 0.1.2)

2019
ebmc: Ensemble-Based Methods for Class Imbalance Problem (Version 1.0.1)

2017
flowml: A Backend for a 'nextflow' Pipeline that Performs Machine-Learning-Based Modeling of Biomedical Data (Version 0.1.3)

2023
fmf: Fast Class Noise Detector with Multi-Factor-Based Learning (Version 1.1.1)

2020
fscaret: Automated Feature Selection from 'caret' (Version 0.9.4.4)

2013
imbalance: Preprocessing Algorithms for Imbalanced Datasets (Version 1.0.2.1)

2017
noisemodel: Noise Models for Classification Datasets (Version 1.0.2)

2022
parsnip: A Common API to Modeling and Analysis Functions (Version 1.2.1)

2018
pdp: Partial Dependence Plots (Version 0.8.1)

2016
pheble: Classifying High-Dimensional Phenotypes with Ensemble Learning (Version 0.1.0)

2023
plotmo: Plot a Model's Residuals, Response, and Partial Dependence Plots (Version 3.6.3)

2011
rules: Model Wrappers for Rule-Based Models (Version 1.0.2)

2020
ssc: Semi-Supervised Classification Methods (Version 2.1-0)

2016
tidyrules: Obtain Rules from Rule Based Models as Tidy Dataframe (Version 0.1.5)

2019
tune: Tidy Tuning Tools (Version 1.2.1)

2020
utiml: Utilities for Multi-Label Learning (Version 0.1.7)

2016
vip: Variable Importance Plots (Version 0.4.1)

2018

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