A Mixed-Mode Tree predicts the Questions to analyze using predictor questions. This article describes how to create a Mixed-Mode Tree output as shown below.
- A categorical variable to be used as Target data.
- At least one variable to select as a Predictor variable.
- In the Anything menu select Advanced Analysis > Machine Learning > Mixed-Mode Tree.
- Select the questions to be used to form the segment from the Choose the target data menu.
- Select the predictor variables from the Available data menu, moving them into the Input data menu.
- Choose how detailed the model should be by selecting either, Show fewer patterns, or Show more patterns.
- OPTIONAL: select Filter and/ or Weight to change the set of input data.
- Select Create Mixed-Mode Tree.
- OPTIONAL: To make modifications select the output and go to object inspector > Inputs > DATA & ASSUMPTIONS > Modify.
- To run a diagnostic report of your analysis, select the output and go to Anything > Advanced Analysis > Machine Learning > Diagnostic > Analysis Report (Mixed Mode Tree)
The results are as follows:
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 Save Machine Learning Probability of Each Response Variable
How to Run Support Vector Machine
How to Create Diagnostic Reports for Latent Class, Mixed Mode Trees, and Mixed Mode Cluster Analysis
Article is closed for comments.