This article describes how to go from a CART output as shown below...

...and save the **Predicted Values **variables containing predicted values for each case in the data and **Probabilities of Each Response** variable containing the probabilities of each response. The below example contains predicted values and probabilities for the CART output created as described here.

## Requirements

- A Classification And Regression Trees (CART) output. See: How to Create a Classification And Regression Trees (CART).

## Method

- Select the CART output.
- In the
**object inspector**go to**Inputs > SAVE VARIABLES(s)**, or go to the**Anything > Advanced Analysis > Machine Learning > Save variable(s)**. - Select
**Predicted Values**to save a variable containing the predicted value of the outcome variable. - Select
**Probabilities of Each Response to**save a variable set containing the probabilities of each response. - 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.

## Next

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 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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