performance

Loss function

the objective function that our model tries to minimizin in the training phase.

Main Loss Functions:

Mean Absolute Error

Average magnitude of errors

Root Mean Squared Error

Root over mean of Squared difference between Original and Predictions

RMSE penalized the model more on error; since errors are squared first.