loss
During the training of a supervised model, a measure of how far a model's prediction is from its label.
Plain English Explanation
During the training of a supervised model, a measure of how far a model's prediction is from its label. A loss function calculates the loss. See Linear regression: Loss in Machine Learning Crash Course for more information.
How is it used?
Practitioners refer to loss when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.