R/Weka Interface
Create DOT Representations
Model Statistics for R/Weka Classifiers
Model Predictions for R/Weka Classifiers
Class Predictions for R/Weka Clusterers
Read Data from ARFF Files
R/Weka Associators
R/Weka Attribute Evaluators
R/Weka Classifier Functions
R/Weka Lazy Learners
R/Weka Meta Learners
R/Weka Rule Learners
R/Weka Classifier Trees
R/Weka Classifiers
R/Weka Clusterers
Control Weka Options
R/Weka File Loaders and Savers
R/Weka Filters
R/Weka interfaces
R/Weka Stemmers
R/Weka Tokenizers
Weka Option Wizard
Weka Package Manager
Write Data into ARFF Files
An R interface to Weka (Version 3.9.3). Weka is a collection of machine learning algorithms for data mining tasks written in Java, containing tools for data pre-processing, classification, regression, clustering, association rules, and visualization. Package 'RWeka' contains the interface code, the Weka jar is in a separate package 'RWekajars'. For more information on Weka see <https://www.cs.waikato.ac.nz/ml/weka/>.