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

View Answer

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.

References: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated-ml#confusion-matrix