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Mar 27, 2019 · The caret package (short for C lassification A nd RE gression T raining) is a set of functions that attempt to streamline the process for creating predictive models. The package contains tools for: data splitting. pre-processing.
Package ‘caret’ March 21, 2023 Title Classification and Regression Training ... Maintainer Max Kuhn <mxkuhn@gmail.com> Repository CRAN Date/Publication 2023-03 ...
Mar 11, 2018 · Using caret package, you can build all sorts of machine learning models. In this tutorial, I explain the core features of the caret package and walk you through the step-by-step process of building predictive models. Be it logistic reg or adaboost, caret helps to find the optimal model in the shortest possible time.
The caret package has several functions that attempt to streamline the model building and evaluation process. The train function can be used to evaluate, using resampling, the effect of model tuning parameters on performance
Aug 22, 2019 · Caret is a package in R created and maintained by Max Kuhn form Pfizer. Development started in 2005 and was later made open source and uploaded to CRAN. Caret is actually an acronym which stands for Classification And REgression Training (CARET).
caret: Classification and Regression Training. Misc functions for training and plotting classification and regression models. Version: 6.0-94. Depends: ggplot2, lattice (≥ 0.20), R (≥ 3.2.0) Imports: e1071, foreach, grDevices, methods, ModelMetrics (≥ 1.2.2.2), nlme, plyr, pROC, recipes (≥ 0.1.10), reshape2, stats, stats4, utils, withr ...
This course teaches the big ideas in machine learning: how to build and evaluate predictive models, how to tune them for optimal performance, how to preprocess data for better results, and much more.
