mae

0th

Percentile

mae

Calculates the Mean absolute error (MAE) from observed and predicted values.

Usage
mae(o, p)
Arguments
o

A numeric vector. Observed values.

p

A numeric vector. Predicted values.

Details

Interpretation: smaller is better. Similar to RMSE but less sensitive to large errors.

Value

Mean absolute error (MAE).

References

Piikki K., Wetterlind J., Soderstrom M., Stenberg B. (2021). Perspectives on validation in digital soil mapping of continuous attributes. A review. Soil Use and Management. 10.1111/sum.12694

Aliases
  • mae
Examples
# NOT RUN {
obs<-c(1:10)
pred<-c(1, 1 ,3, 2, 4, 5, 6, 8, 7, 10)
mae(o=obs, p=pred)

# }
Documentation reproduced from package valmetrics, version 1.0.0, License: MIT + file LICENSE

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