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Decision Tree Age 18 35 Subtree Detailed by iamlegnd3 is a document available to read on EtoBox.

What is Decision Tree Age 18 35 Subtree Detailed about?

The document details the ID3 decision tree analysis for a dataset subset of individuals aged 18–35, consisting of 8 samples with equal class distribution. It calculates the entropy of the subset and the information gain for attributes such as Income, Marital Status, and Gender, concluding that Income provides the highest information gain. The final subtree decisions are outlined based on the Income attribute, with further splits based on Marital Status for the Medium income group.

Author
iamlegnd3
Language
EN

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