## Introduction

Creates new variables containing respondent level predicted probabilities of each response from a machine learning model or ensemble.

## Requirements

A predictive model run using *linear discriminant analysis*, *random forest*, *support vector machine* or some other machine learning algorithm in Q.

## Method

## Example

Once the model has been run, save the probabilities by clicking **Probabilities of Each Response** button in the **Save Variables(s)** section of the object inspector:

This can also be run by selecting **Automate > Browse Online Library > Machine Learning > Save Variables > Probabilities of Each Response** from the menus.

A table of probabilities for each outcome category is generated automatically:

## 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.

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