Binary Classification: Understanding AUC, ROC, Precision/Recall & Sensitivity/Specificity

In this video I discuss how to evaluate a binary classification model such as a neural network, XGBoost, or traditional statistical model. I discuss the relationship between sensitivity, specificity, recall, precision, and ROC/AUC.
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[@vickent2475]

The ROC explanation helps a lot! Thanks!

[@vinibp]

Thank you Jeff, cheers from a big fan from Brazil

[@maximinmaster7511]

Thank you for this video and what you bring us .