This article describes how to save new variables containing predicted probabilities of each response from a machine learning model or ensemble. The below table consists of respondent level probability scores for brand preference.
- A Machine Learning output (e.g., CART, Support Vector Machine, Linear Discrimination Analysis, etc.)
- Select the Machine Learning output.
- Go to the object inspector > Inputs > SAVE VARIABLE(S) > Probabilities of Each Response, or go to Anything > Advanced Analysis > Machine Learning > Save Variables(s) > Probabilities of Each Response. A variable set will appear in the Data Sets tree.
- OPTIONAL: To create a table showing respondent level values go to the Anything menu and select Tables > Raw Data > Variables and then in the object inspector under Inputs >RAW DATA > Variables select the variables created above.
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 Run Support Vector Machine
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