Using the Permutation Feature Importance module
This experiment illustrates the usage of the Permutation Feature importance module as a web service.
This experiment illustrates the usage of the Permutation Feature importance module using the Automobile price dataset.
The steps are:
1) Import a generic dataset.
2) Use Linear Regression to train a model.
3) Use the Permutation Feature Importance module to pick the top features.
This experiment is designed to be a web service.
Created by a Microsoft employee