Creating ROC curves and ensembling models in R with "caret" | R Tutorial (2021)
Subscribe to RichardOnData here: https://www.youtube.com/channel/UCKPyg5gsnt6h0aA8EBw3i6A?sub_confirmation=1
Patreon: https://www.patreon.com/richardondata
GitHub: https://github.com/RichardOnData/YouTube-Scripts
Part 1: https://youtu.be/SYUMTRt70pk
Part 2: https://youtu.be/9vrf9O5ef6g
Part 3: https://youtu.be/rTphHY9Chgk
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
Patreon: https://www.patreon.com/richardondata
GitHub: https://github.com/RichardOnData/YouTube-Scripts
Part 1: https://youtu.be/SYUMTRt70pk
Part 2: https://youtu.be/9vrf9O5ef6g
Part 3: https://youtu.be/rTphHY9Chgk
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
machine learning in r machine learning with caret machine learning with caret in r machine learning tutorial roc curve in r receiver operating characteristic curve receiver operating characteristic curve in r ml in r caret ensemble caret ensemble in r ensembling models in r creating roc curves training models in r tuning models in rstudio caret tutorial machine learning in rstudio elastic net in r support vector machines in r ensemble learning
Комментарии отсутствуют
Информация о видео
12 марта 2021 г. 18:24:05
00:15:31
Другие видео канала