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

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