So here is the ROC curve for our carcinoma classifier. In medicine, often we show the entire curve. You know them as ROC curve, the sensitivity specificity curve. And I’m going to have a quiz for you on which you should be able to answer. Suppose we made a neuron network that completely ignored the image and randomly split out the number between zero and one, and we draw the same curve for that. Which of the three shapes would best characterize the output of the network?