Training and Testing a Model (decision tree)

This workflow shows how to train and test a basic classification model. Using the adult dataset, a decision tree is trained and tested to predict the "income" class column. Testing is obtained via simple accuracy measures via the Scorer node, the ROC curve, and a Cross Validation loop.


This is a companion discussion topic for the original entry at https://kni.me/w/-0nN9BzUOCI6vCXl