A Brief Introduction to caretEnsemble
A Brief Introduction to caretEnsemble Zach Mayer 2023-09-20 caretEnsemble is a package for making ensembles of caret models. You should already be somewhat familiar with the caret package before trying out caretEnsemble. caretEnsemble has 3 primary functions: caretList, caretEnsemble and caretStack. caretList is used to build lists of caret models on the same training data, with the same re-sampli
The caret Package
1 Introduction The caret package (short for Classification And REgression Training) is a set of functions that attempt to streamline the process for creating predictive models. The package contains tools for: data splitting pre-processing feature selection model tuning using resampling variable importance estimation as well as other functionality. There are many different modeling functions in R.
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How to Build an Ensemble Of Machine Learning Algorithms in R - MachineLearningMastery.com
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