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klotz: machine learning* + explainability* + decision tree*

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1. Additive Decision Trees: An Interpretable Classification and Regression Model

   Additive Decision Trees are a variation of standard decision trees, constructed in a way that can often allow them to be more accurate, more interpretable, or both. This article explains the intuition behind Additive Decision Trees and how they can be constructed.

   2024-05-24 Tags: decision tree, explainability, classification, regression, decision trees, machine learning by klotz
2. Decision Tree visualization

   2023-06-23 Tags: decision tree, visualization, explainability, machine learning by klotz
3. Visualizing Decision Trees with Pybaobabdt | by Parul Pandey | Dec, 2021 | Towards Data Science

   2022-01-06 Tags: pybaobabdt, python, decision tree, explainability, visualization, machine learning by klotz
4. Interpretable Machine Learning in 10 Minutes with RuleFit and Scikit Learn | by Orhan G. Yalçın | Jun, 2021 | Towards Data Science

   2021-06-25 Tags: machine learning, decision tree, explainability, rules by klotz

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