## Introduction

Creates a new variable containing predicted values for each case in the data from a machine learning model. Observations with missing values in the predictors are predicted as NA.

Requirements

A predictive model such as regression, linear discriminant, random forest or any other machine learning model generated in Q.

## Method

To save the predicted values:

- Select the machine learning model output.
- Select
**Create > Classifier > Save Variable(s) > Predicted Values**.

## Example

A table of categorical predictions is generated:

## Technical details

Uses the `predict` method from **R**. Unlike the defaults in most R packages, this implementation assigns predicted values for observations not in the estimation sample. Categorical variables are predicted as discrete.

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