MSE

The Mean Squared Error (MSE) loss function is a common loss function used in regression tasks and machine learning models. It measures the average of the squares of the differences between the predicted values and the actual target values. MSE evaluates how well a model’s predictions align with the actual data by penalizing larger errors more than smaller ones.