The caret (Classification And Regression Training) R package streamlines the process of building predictive machine learning models. It provides uniform interfaces for model training, tuning, evaluation, preprocessing, and variable importance. With support for over 200 models, caret is foundational for R workflows in modeling and machine learning.

Features

  • Unified interface for training classification and regression models
  • Preprocessing (scaling, encoding, imputation) and feature selection
  • Hyperparameter tuning via resampling (cross-validation, bootstrap)
  • Computation of variable importance metrics
  • Visualization helpers (e.g. model performance plots)
  • Support for over 200 different model types and extensions

Project Samples

Project Activity

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Categories

Machine Learning

License

MIT License

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

R

Related Categories

R Machine Learning Software

Registered

2025-07-29