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What is Decision Tree Classification Basics about?
The document discusses the concepts of supervised and unsupervised learning, focusing on classification using decision trees. It outlines the process of model construction and usage for classifying data, as well as the algorithm for decision tree induction, including attribute selection measures like information gain. Examples are provided to illustrate the decision tree induction process and its application in predicting outcomes based on training data.
- Author
- nargisniazzz
- Language
- EN