Using the adult dataset, this workflow performs binary classification using a Logistic Regression. The target is the income column, either <=50K or <50K, predicted using the other anagraphc information. After partitioning the data into training set and test set, the logistic regression model is built on the training set and the performance is calculated on the test set using the Scorer node.
This is a companion discussion topic for the original entry at https://kni.me/w/LWHdcrt_DFIepk0p