Q. What is loss and cost function? A. Loss function is a | datascienceinfo

Q. What is loss and cost function?

A. Loss function is a method of evaluating how well your algorithm models your data set. If your predictions are totally off, your loss function will output a higher number. If they’re pretty good, it’ll output a lower number. A loss function/error function is for a single training example/input. A cost function, on the other hand, is the average loss over the entire training dataset.