The table below consists of respondent-level probability scores for brand preference.
Requirements
- A Machine Learning output (e.g., CART, Support Vector Machine, Linear Discriminant Analysis, etc.)
Method
- Select the Machine Learning output.
- Go to Properties
> Data > Save Variable(s) > Probabilities of Each Response. A variable set will appear in the Data Sources tree.
- OPTIONAL: To create a table showing respondent-level values, select the new variable in the Data Sources tree and drag it onto a page.
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 Discriminant Variables
How to Save Machine Learning Predicted Values Variables