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What is Understanding Decision Trees in Classification about?
The document discusses decision trees, which are a method for supervised learning that uses a tree-like model to predict the class of instances. Decision trees work by splitting the data into subsets based on attribute values and building a hierarchical structure, with the leaf nodes representing class labels. The document covers the basic algorithm for building decision trees, which uses a top-down, greedy search to select the attribute that best splits the data at each node based on an information gain me
- Author
- faiza jahangir
- Language
- EN