Python Feature Engineering Cookbook

See also

For more details on how to perform a grid search with cross-validation with scikit-learn, follow https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html.

For more details about the parameters of a decision tree, visit the related documentation:

• DecisionTreeRegressor(): http://scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html
• DecisionTreeClassifier(): http://scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeClassifier.html

For details of the metrics, you can use to optimize the trees, visit scikit-learn's metrics web page at https://scikit-learn.org/stable/modules/model_evaluation.html#the-scoring-parameter-defining-model-evaluation-rules.

To visualize ...