This article describes how to go from a Machine Learning, Machine Learning Ensemble, or Regression output model:
To respondent-level variables containing the probabilities of each response 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) > Probabilities of Each Response.
A variable set labeled "Probabilities from [modeltype]" is added to the top of your data set.
Technical details: Uses the Probabilities method from the R package flipData. Unlike the defaults in most R packages, this implementation assigns probabilities for observations not in the estimation sample.
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 the Predicted Values from a Machine Learning Model