4. 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 x 2x C2 C3 What are the impurity measures of this node using Gini index and misclassification error?

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
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4. Consider a node, t, in a decision tree. The set of training records in node t is D, which contains
records from three different classes C₁, C2, and C3. The class distribution is as follow:
Class
Number of records
C₁
C2
C3
What are the impurity measures of this node using Gini index and misclassification error?
Gini index =
Misclassification error =
X
x
2x
Transcribed Image Text:4. Consider a node, t, in a decision tree. The set of training records in node t is D, which contains records from three different classes C₁, C2, and C3. The class distribution is as follow: Class Number of records C₁ C2 C3 What are the impurity measures of this node using Gini index and misclassification error? Gini index = Misclassification error = X x 2x
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