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17. Following is a data set that contains two attributes, X and Y, and two class labels, "+" and "-". Each attribute can take three different values: 0, 1, or 2. Number of Y Instances 100 1 0. 0. 100 1 10 100 1 10 2 1 10 100 2 100 1 2 2 100 The concept for the "+" class is Y = 1 and the concept for the "-" class is X = 0 V X = 2. (a) Build a decision tree on the data set. Does the tree capture the "+" and “_" concepts? (b) What are the accuracy, precision, recall, and F1-measure of the decision tree? (Note that precision, recall, and F1-measure are defined with respect to the "+" class.) (c) Build a new decision tree with the following cost function: if i = j; if i = +, j = -; if i = -, j = +. 0, C(i, j) = Number of - instances Number of + instances'

17. Following is a data set that contains two attributes, X and Y, and two class labels, "+" and "-". Each attribute can take three different values: 0, 1, or 2. Number of Y Instances 100 1 0. 0. 100 1 10 100 1 10 2 1 10 100 2 100 1 2 2 100 The concept for the "+" class is Y = 1 and the concept for the "-" class is X = 0 V X = 2. (a) Build a decision tree on the data set. Does the tree capture the "+" and “_" concepts? (b) What are the accuracy, precision, recall, and F1-measure of the decision tree? (Note that precision, recall, and F1-measure are defined with respect to the "+" class.) (c) Build a new decision tree with the following cost function: if i = j; if i = +, j = -; if i = -, j = +. 0, C(i, j) = Number of - instances Number of + instances'

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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17. Following is a data set that contains two attributes, X and Y, and two class labels, "+" and "-". Each attribute can take three different values: 0, 1, or 2. Number of Y Instances 0. 100 1 2 100 1 10 100 1 1 10 1 10 100 100 1 2 100 The concept for the "+" class is Y X = 0 V X = 2. 1 and the concept for the "-" class is (a) Build a decision tree on the data set. Does the tree capture the "+" and concepts? (b) What are the accuracy, precision, recall, and F1-measure of the decision tree? (Note that precision, recall, and F1-measure are defined with respect to the "+" class.) (c) Build a new decision tree with the following cost function: { if i = j; if i = +, j = -; if i = -, j = +. C(i, j): Number of Number of + instances instances
Transcribed Image Text:17. Following is a data set that contains two attributes, X and Y, and two class labels, "+" and "-". Each attribute can take three different values: 0, 1, or 2. Number of Y Instances 0. 100 1 2 100 1 10 100 1 1 10 1 10 100 100 1 2 100 The concept for the "+" class is Y X = 0 V X = 2. 1 and the concept for the "-" class is (a) Build a decision tree on the data set. Does the tree capture the "+" and concepts? (b) What are the accuracy, precision, recall, and F1-measure of the decision tree? (Note that precision, recall, and F1-measure are defined with respect to the "+" class.) (c) Build a new decision tree with the following cost function: { if i = j; if i = +, j = -; if i = -, j = +. C(i, j): Number of Number of + instances instances
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