Classification is one of the most common applications of machine learning. Determining the most appropriate classification model and diagnosing and correcting for overfitting are foundational machine learning skills. If you work with data, a thorough understanding of overfitting and the various classifiers will be useful knowledge on many projects.
This white paper discusses the strengths of the most common classification models, examines how to correct and prevent overfitting, and highlights useful functions in MATLAB®.
Read this interactive white paper to learn how to:
- Choose a classification model
- Use the MATLAB Classification Learner app
- Apply regularization techniques
- Perform cross-validation in MATLAB