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Mean Absolute Error

JK Jayakumar Kaliappan
KS Kathiravan Srinivasan
SQ Saeed Mian Qaisar
KS Karpagam Sundararajan
CC Chuan-Yu Chang
SC Suganthan C
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The mean absolute error measures the sum of the absolute differences between the predicted output and the actual output. One cannot identify whether it is under predicting or over predicting since all variations have equal weight.

Equation 1 provides the formula to calculate the MAE.

where SWLFOR,i represents the forecast output, SWLOBS,i represents the actual output, N represents the total number of data points, and I represents a single data entry from the data points.

Copyright and License information:  ©2021 Kaliappan, Srinivasan, Mian Qaisar, Sundararajan, Chang and C.
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