MATLAB Implementation of C4.5 Decision Tree Algorithm
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Resource Overview
MATLAB implementation of C4.5 algorithm featuring comprehensive code annotations and systematic data processing for classification tasks
Detailed Documentation
C4.5 is a decision tree-based classifier that performs classification through systematic data processing. This implementation utilizes MATLAB to code the C4.5 algorithm, incorporating detailed inline comments throughout the codebase to clarify the algorithm's execution flow and critical steps. The implementation includes key components such as information gain calculation for attribute selection, entropy-based splitting criteria, and post-pruning mechanisms to prevent overfitting. The code structure follows modular design with separate functions for tree construction, node splitting, and classification prediction, ensuring maintainability and educational value for understanding machine learning fundamentals.
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