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You are evaluating a completed binary classification machine. You need to use the precision as the evaluation metric. Which visualization should you use?
Correct Answer: C
Receiver operating characteristic (or ROC) is a plot of the correctly classified labels vs. the incorrectly classified labels for a particular model. Reference: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated-ml#confusion-matrix