Creating ROC curves and ensembling models in R with "caret" | R Tutorial (2021)

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In this video I continue the tutorial series on machine learning in R to talk about the following topics: modifying boundaries for classifier thresholds, creating ROC curves, and ensembling the results of multiple models. We will supplement the "caret" package with "ROCR" and "caretEnsemble".

There are a few sources from which this tutorial draws influence and structure. The first is the GitHub documentation on "caret" from its creation, Max Kuhn. The second is a very well-written and comprehensive tutorial by author Selva Prabhakaran on Machine Learning Plus. Third is a helpful resource for dealing with class imbalance, as we often find with classification problems.

- GitHub documentation from Max Kuhn: https://topepo.github.io/caret/
- Tutorial by Selva Prabhakaran: https://www.machinelearningplus.com/machine-learning/caret-package/

Видео Creating ROC curves and ensembling models in R with "caret" | R Tutorial (2021) канала RichardOnData