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Classification Learner is a new app in the statistics and machine learning toolbox that allows you to train models for classifying data using supervised machine learning. It enables you to import data, specify validation schemes, explore data interactively, select features, train models, and assess model performance. You can choose from various classification types like decision trees, support vector machines, nearest neighbors, and ensemble methods. Additionally, you can export classification models to MATLAB workspace for generating predictions on new data. You can integrate trained models into applications such as computer vision, signal processing, or data analytics using MATLAB code. Launch Classification Learner by typing "classification learner" on the MATLAB command line or clicking on the app in the App Gallery.
