UPCOMING WEBINAR: 10 Market Research Predictions Over the Next 4 Years The table below consists of respondent-level probability scores for brand preference.
Requirements
- A Machine Learning output (e.g., CART, Support Vector Machine, Linear Discrimination Analysis, etc.)
Please note these steps require a Displayr license.
Method
- Select the Machine Learning output.
- Go to the object inspector > 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 Discrimination Variables