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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. Understanding CatBoost Algorithm. One of the Best Boosting Algorithm | by Meet Raval | Analytics Vidhya | Medium

   2020-12-15 Tags: classification, decision tree, catboost, gradient boosted, categorical, machine learning by klotz
3. Classification and Regression Analysis with Decision Trees

   2019-05-16 Tags: classification, regression, decision tree, machine learning by klotz
4. Decision Trees and Random Forests for Classification and Regression pt.2

   2018-10-26 Tags: decision tree, random forest, tutorial, machine learning, classification, regression by klotz
5. Decision Trees and Random Forests for Classification and Regression pt.1

   2018-10-26 Tags: decision tree, random forest, tutorial, machine learning, classification, regression by klotz

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