Explaining Predictions: Interpretable models (decision tree)
Introduction
This is a follow up post of using simple models to explain machine learning predictions. In the last post, we introduced logistic regression and in today’s entry we will learn about decision tree.
We will continue to use the Cleveland heart dataset and use tidymodels principles where possible. ...
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