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Decision Tree Algorithm Overview Decision trees are supervised learning models known for their interpretability and versatility. They are widely applied in finance, healthcare, education, and consumer technology. The algorithm produces a tree-like structure where internal nodes represent feature tests and leaf nodes represent class labels. Algo ...

Implementing the Decision Tree Algorithm In this section, we will implement the core logic for constructing a decision tree using the ID3 algorithm. This involves calculating the Shannon Entropy to measure dataset impurity, splitting the dataset based on features, and recursively building the tree structure. Calculating Shannon Entropy The firs ...