<aside>
💡 Intuitive explanation here!
</aside>
- ROC & AUC (video)
- Binary probability classification problems
- Helps to measure if your model’s predicted probabilities tend to predict positive cases with high probabilities
- If you optimize for LogLoss, you also optimize for the AUC metric
