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A binary variable takes one of two values, typically coded as "0" and "1".
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optimizing auc vs logloss in binary classification problems
For imbalanced labels, area under precision-recall curve is preferable to AUC (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4349800/ or python scikit-learn docs)
Also, if your goal is to maximize pre …