Machine Learning Made Easy: Finding a Model for Categorical Data

In this example, use supervised learning to find a classification model for fitness tracker data. Using the Classification Learner app and functions in Statistics and Machine Learning Toolbox™, perform common machine learning tasks such as:

• Selecting and transforming features
• Specifying cross-validation schemes
• Training a range of classification models, including support vector machines (SVMs), boosted and bagged decision trees, k-nearest neighbors, and discriminant analysis
• Performing model assessment and model comparisons using confusion matrices and ROC curves to help choose the best model for your data