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What is Decision Trees Example Credit History about?

This document summarizes the steps to construct a decision tree to classify examples based on credit risk using attributes like credit history, debt, collateral, and income. It shows an example dataset, calculates the entropy for each attribute, and selects the root node and subsequent nodes in the tree based on which attribute best splits the examples into lower entropy groups. The full decision tree is constructed in 3 steps, with income chosen as the root node attribute and credit history and debt chosen

Author

M A Dipto

Language

EN