Log Loss

Browse all content tagged with Log Loss

Glossary

Log Loss

Log loss, or logarithmic/cross-entropy loss, is a key metric to evaluate machine learning model performance—especially for binary classification—by measuring the divergence between predicted probabilities and actual outcomes, penalizing incorrect or overconfident predictions.

Log Loss Machine Learning Classification +2
• 5 min read

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