What is the Log-Loss function?

What is the Log-Loss function?

Approach: Another name for binary cross-entropy loss.

A loss function used in logistic regression and neural networks that measures the difference between predicted probabilities and actual class labels. It heavily penalizes predictions that are confident and wrong.

Follow-up: What is the range of log-loss?

Key concepts: classification, probability, penalty.