4. Binary Classification

Question 7 of 10

What happens to the ROC curve?

You have built a binary classification model to predict if a tree in a forest is sick or healthy. A prediction with an output value of 1.0 means that the model is 100% confident that a tree is healthy.

You calculate the ROC curve of your tree prediction model. You’re not happy with the shape of the curve so you decide to raise the threshold.

What happens to the curve?

Choose the correct answer from the options below.

The curve becomes more F-shaped The curve doesn't change The curve becomes flatter Based on the given information, it's impossible to say