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wait till you see the roc and the a you see theyre cool yeah stack quest hello im josh starmer and welcome to statquest today were going to talk about roc and auc and theyre going to be clearly explained note this stat quest builds on the confusion matrix and sensitivity and specificity stat quests so if youre not already down with those check out the quests also the example i give in this stat 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 lets 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 and just full of muscles this mouse doesnt weigh that much but it is still considered obese for its size now lets fit a logistic regression curve to the data when were doing lo
