Decision Tree/Feature Importance Custom Views Example

This repository automatically updates a feature importance chart and decision tree view on every change to the main branch. These visualizations show on the front page and on any difference view (commits, compares, or pull requests) to help add understandability to how results have changed since the last commit — no separate dashboards or tools needed!

The code and views in this example are inspired by Chinmay Gaikwad's two-part blog series on visualizing decision trees and feature importance during model development. The customer churn dataset is pulled from Kaggle.

Learn more about how these views were built and duplicate our template to try it out for yourself.