Classification is a type of supervised machine learning in which an algorithm “learns” to classify new observations from examples of labeled data. To explore classification models interactively, use the Classification Learner app.

Use the Classification Learner app to train models to classify data using supervised machine learning. The app lets you explore supervised machine learning interactively using various classifiers.

Using this app, you can explore supervised machine learning using various classifiers. You can explore your data, select features, specify validation schemes, train models and optimize hyperparameters, assess results, and investigate how specific …

Classification Learner lets you perform common supervised learning tasks such as interactively exploring your data, selecting features, specifying validation schemes, training models, and assessing results.

Choose Classifier Options In Classification Learner, automatically train a selection of models, or compare and tune options in decision tree, discriminant analysis, logistic regression, naive Bayes, support vector machine, nearest neighbor, kernel approximation, ensemble, and …

Classify Data Using the Classification Learner App. Interactively explore your data, select features, and train, compare, and assess models by using the Classification Learner and Regression Learner apps.

Apply different types of machine learning models for clustering, classification, and regression in MATLAB. Explore how different techniques can optimize your model performance.

Take this free two-hour tutorial to practice machine learning methods for classification problems via hands-on exercises with automated assessments. Practical Data Science with MATLAB Specialization (course)

This example shows how to perform classification using discriminant analysis, naive Bayes classifiers, and decision trees. Suppose you have a data set containing observations with measurements on different variables (called predictors) and their known class labels.

Learn about machine learning models: what types of machine learning models exist, how to create machine learning models with MATLAB, and how to integrate machine learning models into systems. Resources include videos, examples, and …