Consider a node, t, in a decision tree. The set of training records in node t is Dt, which contains records from three different classes C1, C2, and C3. The class distribution is as follow: Class Number of records C1 x C2 x C3 2xWhat are the impurity measures of this node using Gini index and misclassification error? Gini index = Misclassification error =

Given data Class Number of records C1…

Answered: Consider a node, t, in a decision 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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Consider a node, t, in a decision tree. The set of training records in node t is D_t, which contains records from three different classes C₁, C₂, and C₃. The class distribution is as follow:

Class Number of records

C₁ x

C₂ x

C₃ 2x

What are the impurity measures of this node using Gini index and misclassification error?

Gini index =

Misclassification error =

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Given data

Class Number of records

C₁ x

C₂ x

C₃ 2x

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