juniorCost Function
What is log loss?
Updated May 15, 2026
Short answer
Log loss measures performance of classification models using probabilities.
Deep explanation
It penalizes wrong predictions based on confidence, derived from likelihood functions in statistics.
Real-world example
Used in logistic regression for binary classification.
Common mistakes
- Using raw predictions instead of probabilities.
Follow-up questions
- Why use log in loss?
- What is relation to likelihood?