Mean Absolute Error calculation
2:29
Mean Absolute Error calculation
Oct 21, 2019
agrimetsoft.com
What is Mean Absolute Error (MAE)? Mean Absolute Error refers to the magnitude of difference between the prediction of an observation and the true value of that observation. - MAE can also be referred as L1 loss function. - Most commonly used loss functions for regression problems MAE determines Underfitting and Overfitting Underfitting - when a machine learning model performs very poorly on new data or validation set. Overfitting - when a machine learning model performs poorly on training data
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