Description Usage Arguments Details Value Author(s) See Also Examples
This is a widely used criterion since the time of Laplace. Just as least-squares is optimal for mean-square error loss functions, least absolute deviation is optimal for mean absolute error loss functions. See Wikipedia article https://en.wikipedia.org/wiki/Mean_absolute_error.
1 | mae(yTest, yHat)
|
yTest |
test data |
yHat |
predictions of the test data |
tba
mean percentage absolute errors
A. I. McLeod
1 |
[1] 122.5959
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