Which visualization should you use?
You are evaluating a completed binary classification machine.
You need to use the precision as the evaluation metric.
Which visualization should you use?
A . scatter plot
B . coefficient of determination
C . Receiver Operating Characteristic CROC) curve
D . Gradient descent
Answer: C
Explanation:
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
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