COMRUTER RROGRftM for R ROC ESS I IMG Form

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wait Tacey jahar of c and a you see they're cool yeah stack west hello I'm Josh stormer and welcome to stack quest today we're going to talk about ROC and AUC and they're going to be clearly explained note this stack quest builds on the confusion matrix and sensitivity and specificity stack quests so if you're not already down with those check out the quests also the example I given this stack quest is based on logistic regression so even though ROC and AUC apply to more than just logistic regression make sure you understand those basics let's start with some data the y-axis has two categories obese and not obese the blue dots represent obese mice and the red dots represent mice that are not obese along the x-axis we have weight this mouse is not obese even though it weighs a lot it must be Mighty Mouse in just full of muscles this mouse doesn't weigh that much but it is still considered obese for its size now let's fit a logistic regression curve to the data when we're doing logistic