Explain the decision tree. Illustrate the concept of a decision tree by taking a suitableexample with 2 attributes (A1, A2),1 class attribute, and 5 data points. Calculate theentropy of each attribute except the class attribute. Al can take values as {y/n} and7A2 can take values as {x/w} and there are only two classes (0/1). A row or datapointmay look like this (y,x,0)

Decision Tree: A decision tree is a very specific type of probability tree that enables you to make…

Answered: Explain the decision tree. Illustrate…

Explain the decision tree. Illustrate the concept of a decision tree by taking a suitable example with 2 attributes (Al, A2),1 class attribute, and 5 data points. Calculate the

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Question

Explain the decision tree. Illustrate the concept of a decision tree by taking a suitable
example with 2 attributes (A1, A2),1 class attribute, and 5 data points. Calculate the
entropy of each attribute except the class attribute. Al can take values as {y/n} and
7
A2 can take values as {x/w} and there are only two classes (0/1). A row or datapoint
may look like this (y,x,0)

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