What is a Feature Importance Heatmap in Machine Learning?
Feature Importance Heatmap
A feature performance heat map is a visual representation of the performance of each feature in a given model. It enables users to quickly see slices of performance or features that perform significantly better or worse than others for faster triangulation of issues. Heat maps are especially useful when troubleshooting.