Feature transformations with ensembles of trees

Note Go to the end to download the full example code. or to run this example in your browser via JupyterLite or Binder Feature transformations with ensembles of trees# Transform your features into a higher dimensional, sparse space. Then train a linear model on these features. First fit an ensemble of trees (totally random trees, a random forest, or gradient boosted trees) on the training set. The