How to Convert Numerical to Categorical Variables with Decision Trees
How decision trees can be used to convert numerical variables into categorical variables and use R to bin data. Example data set with source code included.
How to Convert Numerical to Categorical Variables with Decision Trees launched on March 4, 2016 with 5 votes and more than 50% of that year's launches. The site was still online in September 2026, 10 years on.
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Hi All, I would like to share with you a new Python package for interactive decision tree visualization. It is called `supertree`. It visualizes decision tree as interactive graph, where you can collapse and expand selected nodes. You can zoom and pan though large trees. It works with Scikit-learn, Xgboost, and LightGBM. The package works in notebooks: Jupyter Lab, Jupyter Notebook, Google Colab. You can also use it in Python scripts and save output trees to HTML. The package is available on pip: `pip install supertree`. You can find code examples on the GitHub:…
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