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Answers
The Absolute error is the difference between the predicted value and the “true” value.
The Means Absolute Error MAE takes the average of absolute errors for a group of predictions and observations
Best,
Cesar
Yes, this is the same value. As stated in the documentation, the absolute error is calculated by summing the differences between the labels and predictions, and dividing this value by the number of examples.
Best,
Roland
thank you, so both is using the same formula which is MAE formula is it just for confirmation?
Best,
Roland