Receiver operating characteristic (or ROC) is a plot of the correctly classified labels vs. the incorrectly classified labels for a particular model.
Incorrect Answers:
A: A violin plot is a visual that traditionally combines a box plot and a kernel density plot.
B: Gradient descent is a first-order iterative optimization algorithm for finding the minimum of a function. To find a local minimum of a function using gradient descent, one takes steps proportional to the negative of the gradient (or approximate gradient) of the function at the current point.
C: A scatter plot graphs the actual values in your data against the values predicted by the model.
The scatter plot displays the actual values along the X-axis, and displays the predicted values along the Y-axis.
It also displays a line that illustrates the perfect prediction, where the predicted value exactly matches the actual value.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated- ml#confusion-matrix