Visualizing decision trees is a tremendous aid when learning how these models work and when interpreting models. Discussionĭecision trees are the fundamental building block of gradient boosting machines and Random Forests(tm), probably the two most popular machine learning models for structured data. Take a look in notebooks! Here we have a specific notebook for all supported ML libraries and more. Jump right into the examples using this Colab notebook We welcome info from users on how they use dtreeviz, what features they'd like, etc. See How to visualize decision trees for deeper discussion of our decision tree visualization library and the visual design decisions we made.
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