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Knowledge in decision tree induction
Decision Tree Induction
Decision tree induction is the learning of decision trees from class-labelled training examples. A decision-tree is a flow-chart like tree structure, where each internal node denotes a test on an attribute, each branch represents an outcome of the test and each leaf node holds a class label. ID3, C4.5 and CART adopt a greedy(nonbacktracking) approach in which decision trees are constructed in a top-down recursive divide-and-conquer manner.
AKSHAT RAO PATIL
Decision Tree Learning
A tree where each branching (decision) node represents a choice between 2 or more alternatives, with every branching node being part of a path to a leaf node