Loss - AshokBhat/ml GitHub Wiki
Description
- A measure of how far a model's predictions are from its label
- 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.
FAQ
- What is the loss? What does it tell you?
- How is it related to loss function?
- How is it used during training?