
loss function
/ˈlɒs ˌfʌŋkʃən/
A measure of how wrong the model's predictions are
“The loss function quantifies the difference between predictions and actual values.”
Etymology — From Old English `los` (destruction, ruin) + Latin `functio` (performance), from `fungi` (to perform)