the followingConsider a binary classification withtraining data. Each data is described by3 attributes: Color, Size, Shape.Example Color1Red2345678ShapeSquareBlue Square BigRedSquareBigRedCircleBigGreenCircleBigBlueCircleSmallBlueCircleSmallGreen Square BigSize ClassBig ++++1-1. Use the entropy method to find the best attributefor the root node. (Hint: Calculate the entropyand information gain)2. Build a complete tree according to the entropymethod. The tree should include the class labeland training data in each node.3. Compute the classification error of each node ofthe tree.

To find the best attribute for the root node using the entropy method, we first need to calculate…

the following Consider a binary classification with training data. Each data is described by 3 attributes: Color, Size, Shape. Example Color 1 Red 2 3 4 5 6 7 8 Shape Square Square Square Big Circle Big Circle Big Blue Circle Small Blue Red Size Class Big + Big + + Red Green Blue Circle Small Green Square Big + - 1. Use the entropy method to find the best attribute for the root node. (Hint: Calculate the entropy and information gain) 2. Build a complete tree according to the entropy method. The tree should include the class label and training data in each node. 3. Compute the classification error of each node of the tree.

the following Consider a binary classification with training data. Each data is described by 3 attributes: Color, Size, Shape. Example Color 1 Red 2 3 4 5 6 7 8 Shape Square Square Square Big Circle Big Circle Big Blue Circle Small Blue Red Size Class Big + Big + + Red Green Blue Circle Small Green Square Big + - 1. Use the entropy method to find the best attribute for the root node. (Hint: Calculate the entropy and information gain) 2. Build a complete tree according to the entropy method. The tree should include the class label and training data in each node. 3. Compute the classification error of each node of the tree.

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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