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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
Categories
Machine LearningLicense
MIT LicenseFollow caret
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