MATLAB Classification Toolbox: Comprehensive Classification Methods Suite

The classification_matlab_toolbox is a comprehensive MATLAB-based framework for developing and comparing classification methodologies across diverse application domains. Its GUI-based architecture enables seamless exploration of multiple classification paradigms including SVM, decision trees, k-NN, and neural networks through configurable parameter panels. The toolbox implements data preprocessing routines (feature scaling, dimensionality reduction) and offers automated hyperparameter optimization via grid search implementations. Advanced functionality includes ensemble methods (bagging/boosting) with customizable base learners and real-time performance monitoring through confusion matrix visualization and ROC curve plotting. The modular design allows integration of custom classifiers through standardized function templates, while batch processing capabilities support large-scale experimental evaluations. This toolbox facilitates both educational understanding of classification principles and production-level model deployment with export options for trained classifiers in MATLAB's native .mat format.