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Decision Tree (page 3 of 5) |
Root Node: Represents the sample of data that gets further divided into two or more data sets.
Splitting: The division of a node into two or more sub-nodes.
Leaf or Terminal Node: Nodes that do not get split any further (pure node has no variance).
Pruning: Removing sub-nodes to simplify the entire model.
Branch / Sub-Tree: A subset of the entire tree.
Parent: A node that divides into sub-nodes is the parent node.
Child Node: Sub-nodes are the child of a parent node.