Machine Learning in Java
上QQ阅读APP看书,第一时间看更新

Mean absolute error

Mean absolute error (MAS) is an average of the absolute difference between the predicted and the true values, as follows:

The MAS is less sensitive to the outliers, but it is also sensitive to the mean and scale.