Overview of Error, Loss, and Cost Functions
Difference between Error, Loss, and Cost Function In summary, the error function measures the overall performance of the model, the loss function measures the performance of the model on a single training example, and the cost function calculates the average performance of the model over the entire training set. The error function measures the overall … Read more