How to Save Machine Learning Predicted Values Variables

This article describes how to save variables containing predicted values for each case in the data from a Machine Learning model (e.g., from Machine Learning - Random Forest). Observations with missing values in the predictors are predicted as NA. The below example shows the predicted value from the model on a respondent level. 

Requirements

• A Machine Learning output (e.g., CART, Support Vector Machine, Linear Discrimination Analysis, etc.)

Method

1. Select the Machine Learning output.
2. Go to the object inspector > Inputs > SAVE VARIABLE(S) > Prediction Values, or go to the Anything menu > Advanced Analysis > Machine Learning > Save Variable(s) > Prediction Values.

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 Discrimination Variables

How to Save Machine Learning Probability of Each Response Variable

How to Run Support Vector Machine