Data Splitting using Cross Validation and Bootstrap in R
Автор: statsguidetree
Загружено: 2021-09-24
Просмотров: 2149
☕ If you would like to support, consider buying me a ko-fi ☕: https://ko-fi.com/statsguidetree
🤓 For one-on-one tutoring or consultation services email me [email protected]
📈 For rcode and dataset: https://gist.github.com/musa5237
This video is a tutorial in R of various data splitting (i.e., model validation, data partitioning) methods with the caret package to estimate accuracy and error. I go over the following methods: test train hold out, leave one out cross validation, k-fold cross validation, repeated k-fold cross validation, and bootstrap 632. The dataset I use is the heart disease dataset. For a review on logistic regression models, please check out the video:
• Logistic Regression with Variable Selectio...
For formulas used to calculate the metrics provided in the output from the confusion matrix:
https://rdrr.io/cran/caret/man/confus...
Доступные форматы для скачивания:
Скачать видео mp4
-
Информация по загрузке:
![[EN] R Statistics: validation of multivariate regression using bootstrapping](https://ricktube.ru/thumbnail/gUO0s3Fh4Ps/mqdefault.jpg)
