Glossary

Loss function — Glossary

A numeric measure of prediction error that training aims to minimize.

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Full definition

Cross-entropy and mean squared error are common losses. The choice of loss shapes what the model prioritizes; evaluation metrics reported to stakeholders may differ from the training loss.

Related encyclopedia topic

Loss Functions — A loss function quantifies how wrong a model’s prediction is so optimizers can update parameters to improve performance.

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