What is the purpose of using a confusion matrix in classification problems? In Machine Learning🤖?
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Answer: C) To visualize the performance of a classification model
Explanation: A confusion matrix is used to visualize the performance of a classification model by showing the true positives, true negatives, false positives, and false negatives.
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