This article describes how to go from a Machine Learning, Machine Learning Ensemble, or Regression output model:

To respondent-level variables containing the probabilities of each response based on the Machine Learning model:

## Requirements

- A document containing a Machine Learning, Machine Learning Ensemble, or Regression output created in Displayr.

## Method

- Select your Machine Learning model output.
- From the
**object inspector**, click**SAVE VARIABLE(S) > Probabilities of Each Response**.

A variable set labeled "Probabilities from [modeltype]" is added to the top of your data set.

Technical details: Uses the `Probabilities `method from the **R **package `flipData`. Unlike the defaults in most R packages, this implementation assigns probabilities for observations not in the estimation sample.

## Next

How to Run Machine Learning Linear Discriminant Analysis

How to Run a Gradient Boosting Machine Learning Model

How to Run Support Vector Machine

How to Compare Machine Learning Models

How to Create an Ensemble of Machine Learning Models

How to Save Machine Learning Predicted Values Variables

How to Save the Predicted Values from a Machine Learning Model