8. Compute atwo-leveldecision tree using the greedy approach described in this chapter. Use the classification error rate as the criterion for splitting. What is the overall error rate of the induced tree? Note: To determine the test condition at the root note, you first need to computer the error rates for attributes X, Y, and Z. For attribute X the corresponding counts are: c1 60 c2 60 1 40 40 For Y the corresponding counts are: c1 40 60 60 40 For Z the coresponding counts are: c2 70 30 c1 30 70 1 attributes and attribute values: 389 289

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
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8. Compute a two-level decision tree using the greedy approach described in this chapter. Use the
classification error rate as the criterion for splitting. What is the overall error rate of the induced
tree?
Note: To determine the test condition at the root note, you first need to computer the error
rates for attributes X, Y, and Z.
For attribute X the corresponding counts are:
c1
60
c2
60
1
40
40
For Y the coresponding counts are:
c1
40
60
c2
60
40
For Z the conesponding counts are:
c1
30
70
c2
70
30
1
following set of attributes and attributevalues:
Transcribed Image Text:8. Compute a two-level decision tree using the greedy approach described in this chapter. Use the classification error rate as the criterion for splitting. What is the overall error rate of the induced tree? Note: To determine the test condition at the root note, you first need to computer the error rates for attributes X, Y, and Z. For attribute X the corresponding counts are: c1 60 c2 60 1 40 40 For Y the coresponding counts are: c1 40 60 c2 60 40 For Z the conesponding counts are: c1 30 70 c2 70 30 1 following set of attributes and attributevalues:
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