📕 subnode [[@KGBicheno/loss]]
in 📚 node [[loss]]
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garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Loss.md by @KGBicheno
loss
Go back to the [[AI Glossary]]
A measure of how far a model's predictions are from its label. Or, to phrase it more pessimistically, a measure of how bad the model is. To determine this value, a model must define a loss function. For example, linear regression models typically use mean squared error for a loss function, while logistic regression models use Log Loss.
📖 stoas
- public document at doc.anagora.org/loss
- video call at meet.jit.si/loss