Train a Multi-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 Multi-Classifier model to evaluate how accurately it classifies your data into three or more predefined categories. For example, you might predict whether a piece of fruit is an orange, apple, or pear.
Use the Train Multi-Classifier step in the data flow editor.
  1. Click Add a step (+), and select Train Multi-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.