Find more posts tagged with
Sort by:
1 - 4 of
41
Hi @Afif,
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
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
Hi @rjones13
thank you, so both is using the same formula which is MAE formula is it just for confirmation?
thank you, so both is using the same formula which is MAE formula is it just for confirmation?
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