smape: smape

In valmetrics: Metrics and Plots for Model Evaluation

Description

Calculates the Symmetrical mean percentage error (SMAPE) from observed and predicted values.

Usage

smape(o, p)

Arguments

o	A numeric vector. Observed values.
p	A numeric vector. Predicted values.

Details

Interpretation: smaller is better.

Value

Symmetrical mean percentage error (SMAPE)

Author(s)

Kristin Piikki, Johanna Wetterlind, Mats Soderstrom and Bo Stenberg, E-mail: [e-mail]

References

Forkuor G., Hounkpatin O. K., Welp G., Thiel, M. 2017. High resolution mapping of soil properties using remote sensing variables in south-western Burkina Faso: a comparison of machine learning and multiple linear regression models. PloS one, 12(1), e0170478.

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. doi: 10.1111/sum.12694

Examples

obs<-c(1:10)
pred<-c(1, 1 ,3, 2, 4, 5, 6, 8, 7, 10)
smape(o=obs, p=pred)

valmetrics documentation built on Jan. 16, 2021, 5:11 p.m.