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.
- Click Add a step (+), and select Train Multi-Classifier.
- At the Select Train Two-Classification Model Script dialog, select a script type, then click OK. For example, you might select Naive Bayes.
- Click Select a column and select the data column to analyze.
- Use the on-screen options to configure the script parameters.