Export Features to Regression Learner

Regression Learner is an app in the Statistics and Machine Learning Toolbox™ that trains models to predict response data. Regression Learner uses automated methods to create and train different types of regression models using true response data. For predictive maintenance, the goal of using Regression Learner is to select and train a model that uses the exported feature set to accurately predict model response to model inputs. You can incorporate this model into an algorithm for fault detection and prediction.

Use Export features to Regression Learner when:

• You want to obtain more insight on the relative effectiveness of your features.

• You are developing a predictive maintenance algorithm and want to select and train the best model for the algorithm to use.

When you export features, the app brings up a selectable list of features to export. The specific list depends on whether you have ranked the features.

• If you have not ranked the features and export from the Feature Designer tab, the list is in alphabetical order, with all features preselected. This approach allows you to export all features at once from the main tab. You can also tailor the selections at this level if you know which features you want.

• If you have ranked the features and you export from either the Feature Designer tab or the Feature Ranking tab, the list is in ranked order, based on the ranking method in Features sorted by. In this ranked list, the top five features are preselected. This approach allows you to export only your highest-ranked features. You can also tailor the selections at if you want to export more than the top five features.

More Information

For more information, see Regression Learner.