Database Reference
In-Depth Information
Mean Absolute Error
MAE is the average of the absolute differences between the predicted and actual targets:
MAE is similar in principle to MSE, but it does not punish large deviations as much.
Our function to compute MAE is as follows:
def abs_error(actual, pred):
return np.abs(pred - actual)
