ROC, Paper, Scissor, Shoe
📊 Working through ROC-AUC from scratch, then poking at its blind spots — low prevalence, calibration, and finally Decision Curve Analysis. Mostly notes to myself on what I learned (and got confused by) along the way. 🤔📈 Motivations We see ROC-AUC so often with classification models, we know the higher the better, but ... Continue reading: ROC, Paper, Scissor, Shoe
The skinny
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