This article describes how to go from a Machine Learning, Machine Learning Ensemble, or Regression output model:
To respondent-level predicted values based on the Machine Learning model:
Requirements
- A document containing a Machine Learning, Machine Learning Ensemble, or Regression output created in Displayr.
Method
- Select your Machine Learning model output.
- From the object inspector, click SAVE VARIABLE(S) > Predicted Values.
A variable set labeled "Predicted Values [modeltype]" is added to the top of your data set.
Technical details: Uses the predict method from R. Unlike the defaults in most R packages, this implementation assigns predicted values for observations not in the estimation sample. Categorical variables are predicted as discrete.
Next
How to Run Machine Learning Linear Discriminant Analysis
How to Run a Gradient Boosting Machine Learning Model
How to Run Support Vector Machine
How to Compare Machine Learning Models
How to Create an Ensemble of Machine Learning Models
How to Save Machine Learning Predicted Values Variables
How to Save Probabilities-of-Each-Response from a Machine Learning Model