- Mastering Machine Learning on AWS
- Dr. Saket S.R. Mengle Maximo Gurmendez
- 91字
- 2021-06-24 14:23:18
Mean absolute error
Mean absolute error (MAE) is the mean of the absolute values of the error. It can be represented with the following formula:
MAE provides an average error between two vectors. In our case, MAE is the difference between the actual value of and the predicted value . MAE is used by a lot of researchers since it gives a clear interpretation of the errors in the model's prediction.