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3.5.2.27 mae
Description
mae (Mean-Absolute-Error) function returns the mean of absolute error between a pair of vectors.
The MAE value between a prediction dataset y of n values /math-3b0946722de35e12b5a87e34d0bf6202.png?v=0 "\{y_1, \ y_2,..., \ y_n\}")
and a observation dataset x /math-3a0e244132c36c88b17e1f6d1a395d6a.png?v=0 "\{x_1, \ x_2,..., \ x_n\}")
, is given by:
/math-e106b494667295471dc357ca19cfa8b4.png?v=0 "MAE = \frac{ \sum_{i=1}^{n} |y_i-x_i| }{n}")
Syntax
double mae(dataset vobs, dataset vpred)
Parameters
vobs
- Input, obsevation vector.
vpred
- Input, prediction vector.
Return
Return the mean absolute error of vector vobs and vpred.
Note: Missing data, masked data and text in vobs and vpred won't be counted.
Example
//Calculate the mean absolute error of column A and B. yr = mae(col(A),col(B));