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Suppose you have the following data set where X1 and X2 are the features and Y is the response variable. Y is a categorical variable that can either be Yes or No. 20-03 XI 0.5 0.5 Now assume you fit a KNN with n=5, by using the given training set and make predictions on the data set again, then create a confusion matrix on the training set. What would be the values of a, b, c, d? Predicted Class 211000 True Class a X2 C. d a=3, b=0, c=0, d=2 b. a=2, b=1, c=2, d=0 a=3, b=0, c-2, d=0 a=0, b=3, c=0, d=2 Y Yes Yes No No Yes Yes No Yes a C No b d

Suppose you have the following data set where X1 and X2 are the features and Y is the response variable. Y is a categorical variable that can either be Yes or No. 20-03 XI 0.5 0.5 Now assume you fit a KNN with n=5, by using the given training set and make predictions on the data set again, then create a confusion matrix on the training set. What would be the values of a, b, c, d? Predicted Class 211000 True Class a X2 C. d a=3, b=0, c=0, d=2 b. a=2, b=1, c=2, d=0 a=3, b=0, c-2, d=0 a=0, b=3, c=0, d=2 Y Yes Yes No No Yes Yes No Yes a C No b d

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Suppose you have the following data set where X1 and X2 are the features and Y is the response variable. Y is a categorical variable that can either be Yes or No. 2-0-03 X1 1 0.5 2--000 0.5 Now assume you fit a KNN with n=5, by using the given training set and make predictions on the data set again, then create a confusion matrix on the training set. What would be the values of a, b, c, d? Predicted Class True Class Y Yes Yes No No Yes Yes No a, a=3, b=0, c=0, d=2 b. a=2, b=1, c-2, d=0 c. a=3, b=0, c=2, d= 0 d. a=0, b=3, c=0, d=2 Yes a C No b Po d
Transcribed Image Text:Suppose you have the following data set where X1 and X2 are the features and Y is the response variable. Y is a categorical variable that can either be Yes or No. 2-0-03 X1 1 0.5 2--000 0.5 Now assume you fit a KNN with n=5, by using the given training set and make predictions on the data set again, then create a confusion matrix on the training set. What would be the values of a, b, c, d? Predicted Class True Class Y Yes Yes No No Yes Yes No a, a=3, b=0, c=0, d=2 b. a=2, b=1, c-2, d=0 c. a=3, b=0, c=2, d= 0 d. a=0, b=3, c=0, d=2 Yes a C No b Po d
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