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

Canonical link: https://rscholar.com/pkg/C50

Max Kuhn • Steve Weston • Mark Culp • Nathan Coulter • Ross Quinlan • RuleQuest Research • Rulequest Research Pty Ltd. • View description and downloads View dependencies GitHub project

2012 Published

0.1.8 Version

0 Citations

7 Authors

Referenced by ⇅	Year
bsnsing: Build Decision Trees with Optimal Multivariate Splits (Version 1.0.1)	2022
butcher: Model Butcher (Version 0.3.4)	2019
noisemodel: Noise Models for Classification Datasets (Version 1.0.2)	2022
MLPUGS: Multi-Label Prediction Using Gibbs Sampling (and Classifier Chains) (Version 0.2.0)	2016
MachineShop: Machine Learning Models and Tools (Version 3.8.0)	2018
MetabolomicsBasics: Basic Functions to Investigate Metabolomics Data Matrices (Version 1.4.5)	2018
ModTools: Building Regression and Classification Models (Version 0.9.13)	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
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
fastml: Fast Machine Learning Model Training and Evaluation (Version 0.2.0)	2024
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
mlr: Machine Learning in R (Version 2.19.2)	2013
parsnip: A Common API to Modeling and Analysis Functions (Version 1.2.1)	2018
pdp: Partial Dependence Plots (Version 0.8.2)	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 3.6.4)	2011
rules: Model Wrappers for Rule-Based Models (Version 1.0.2)	2020
ssc: Semi-Supervised Classification Methods (Version 2.1-0)	2016
tidyrules: Utilities to Retrieve Rulelists from Model Fits, Filter, Prune, Reorder and Predict on Unseen Data (Version 0.2.7)	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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