This article describes how to save discriminant variables from Machine Learning - Linear Discriminant Analysis, as shown below.
Requirements
- A Machine Learning Linear Discriminant Analysis Output. (See: How to Run Machine Learning Linear Discriminant Analysis).
Method
- Select the Linear Discrimination Analysis Output.
- In the object inspector go to Inputs > SAVE VARIABLES(s), or go to the Anything > Advanced Analysis > Machine Learning > Save variable(s).
- OPTIONAL: To create a table showing respondent level values go to the Anything menu and select Tables > Raw Data > Variables and in the Inputs >RAW DATA > Variables select the variables created above.
See Also
How to Create a Classification And Regression Trees (CART)
How to Run Machine Learning Diagnostics - Prediction-Accuracy Table
How to Run Machine Learning Diagnostics - Table of Discriminant Function Coefficients extension
How to Create an Ensemble of Machine Learning Models
How to Run a Gradient Boosting Machine Learning Model
How to Compare Machine Learning Models
How to Run Machine Learning Linear Discriminant Analysis
How to Save Machine Learning Predicted Values Variables
How to Save Machine Learning Probability of Each Response Variable
How to Run Support Vector Machine