Train a Binary Classifier Model in a Data Flow

You train a machine learning model using your existing data to evaluate how accurate the model is in predicting known outcomes.

Train a Binary Classifier model to evaluate how accurately it classifies your data into one of two predefined categories. For example, you might predict whether a product instance will pass or fail a quality control test.
Use the Train Binary Classifier step in the data flow editor.
  1. Click Add a step (+), and select Train Binary Classifier.
  2. At the Select Train Two-Classification Model Script dialog, select a script type, then click OK. For example, you might select Naive Bayes.
  3. Click Select a column and select the data column to analyze.
  4. Use the on-screen options to configure the script parameters.