Visualizing and interpreting decision trees

Posted by Terence Parr , Google Decision trees are the fundamental building block of Gradient Boosted Trees and Random Forests, the two most popular machine learning models for tabular data. To learn how decision trees work and how to interpret your models, visualization is essential. TensorFlow recently published a new tutorial that shows how to use dtreeviz , a state-of-the-art visualization library, to visualize and interpret TensorFlow Decision Forest Trees .