Designing and Implementing a Data Science Solution on Azure — Question 14

You are evaluating a completed binary classification machine learning model.
You need to use the precision as the evaluation metric.
Which visualization should you use?

Answer options

• A. Violin plot
• B. Gradient descent
• C. Box plot
• D. Binary classification confusion matrix

Correct answer: D

Explanation

The correct choice is D, the Binary classification confusion matrix, as it provides a clear representation of true positives, false positives, true negatives, and false negatives, allowing for precise calculation of precision. The other options, such as Violin plot, Gradient descent, and Box plot, do not specifically relate to evaluating classification metrics like precision.