P-1 : An environmental scientist developed and trained a two- class classifier for predicting whether a population contains a specific genetic variant. The scientist uses 1000 samples for their data analysis. Assume that trained classifier predicts that 700 test samples contain the genetic variant and 300 samples don't. If the scientist determines the actual number of samples containing the variant is 610 out of the predicted that 700 test samples and the actual number of samples that do not contain the variant is 165 out of 300 samples those are predicted not to have the variant. Calculate the confusion matrix for the classifier.
P-1 : An environmental scientist developed and trained a two- class classifier for predicting whether a population contains a specific genetic variant. The scientist uses 1000 samples for their data analysis. Assume that trained classifier predicts that 700 test samples contain the genetic variant and 300 samples don't. If the scientist determines the actual number of samples containing the variant is 610 out of the predicted that 700 test samples and the actual number of samples that do not contain the variant is 165 out of 300 samples those are predicted not to have the variant. Calculate the confusion matrix for the classifier.
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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Transcribed Image Text:P-1
: An environmental scientist developed and trained a two-
class classifier for predicting whether a population contains a specific
genetic variant. The scientist uses 1000 samples for their data analysis.
Assume that trained classifier predicts that 700 test samples contain the
genetic variant and 300 samples don't. If the scientist determines the
actual number of samples containing the variant is 610 out of the predicted
that 700 test samples and the actual number of samples that do not contain
the variant is 165 out of 300 samples those are predicted not to have the
variant. Calculate the confusion matrix for the classifier.
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