How to Save Machine Learning Discrimination Variables

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

1. Select the Linear Discrimination Analysis Output.
2. In the object inspector go to Inputs > SAVE VARIABLES(s), or go to the Anything > Advanced Analysis > Machine Learning > Save variable(s). 
   
3. 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 Deep Learning

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 Run Mixed-Mode Tree

How to Run Random Forest

How to Save Machine Learning Predicted Values Variables

How to Save Machine Learning Probability of Each Response Variable

How to Run Support Vector Machine