ROC AUC vs Log Loss: Which One Should You Optimize?
You finish training a binary classification model. Two numbers stare back at you: ROC AUC 0.91, Log Loss 0.34. Is that good? Which one should you care about? You tune the model, ROC AUC climbs to 0.93 but Log Loss barely moves. A colleague’s model has AUC 0.88 and Log Loss 0.21. Who has the … Read more