You can use the coefficients from a Linear Discriminant Analysis to predict what class a new respondent may be in. To do so, compute the functions for all classes and choose the class with the highest result. This article describes how to go from a Linear Discriminant output
to a table of Discriminant Function Coefficients to use in your predictive model, 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.
- Go to the object inspector > Inputs > DIAGNOSTICS > Table of Discriminant Function Coefficient or click Anything > Advanced Analysis > Machine Learning > Diagnostics > Table of Discriminant Function Coefficient.
Next
How to Create a Classification And Regression Trees (CART)
How to Run Machine Learning Diagnostics - Prediction-Accuracy Table
How to Create an Ensemble of Machine Learning Models
How to Run a Gradient Boosting Machine Learning Model
How to Run Machine Learning Linear Discriminant Analysis
How to Compare Machine Learning Models
How to Save Machine Learning Discrimination Variables
How to Save Machine Learning Predicted Values Variables
How to Save Machine Learning Probability of Each Response Variable
How to Run Support Vector Machine