Using the Permutation Feature Importance module

April 15, 2015

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Algorithms

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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