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What is Understanding Decision Trees about?
Decision trees are a non-linear predictive modeling technique that uses a tree-like graph to predict outcomes. Nodes in the tree represent conditions related to predictor variables, and branches represent the outcome of those conditions. Decision trees split the data into smaller and smaller groups, known as nodes, and try to make each group as homogeneous as possible with respect to the target variable. There are two main types of decision trees: regression trees for continuous targets, and classification
- Author
- Vasudha
- Language
- EN