Losses and objectives · MLD-0682
Loss function
A function measuring how undesirable a prediction or model outcome is.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Penalize incorrect class probabilities.
Original caveat
Loss and evaluation metric need not be the same.
Context and aliases
Level: Foundational. Stages: Theory · Training · Evaluation.
Tags: ML · DL · SLM · LLM.
Aliases: Cost function.
Related concepts
Concepts linking here
Original references
- Deep Learning: online textbook ↗ · Consulted
- scikit-learn: evaluation metrics ↗ · Reference link
- PyTorch neural-network layers ↗ · Reference link
- Original reference URL ↗