
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.”
Origin: From Old English los (destruction, ruin) + Latin functio (performance), from fungi (to perform)