Classification Learner is a new app that lets you train models to classify data using supervised machine learning. You can explore your data, select features, specify cross-validation schemes, train models, and assess results. You can choose from several classification types including decision trees, support vector machines, nearest neighbours, and ensemble classification.

David shows how you can use the app to:

• Perform supervised machine learning by supplying a known set of input data (observations or examples) and known responses to the data (i.e., labels or classes).
• Use the data to train a model that generates predictions for the response to new data. Use the model with new data.
• Export the model as a template to the workspace or generate MATLAB code to recreate the trained model.