XGBoost is a very successful machine learning package based on boosted trees. This package allows the predictions from an xgboost model to be split into the impact of each feature, making the model as transparent as a linear regression or decision tree.
|Author||David Foster <[email protected]>|
|Maintainer||David Foster <[email protected]>|
|Package repository||View on GitHub|
Install the latest version of this package by entering the following in R:
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.