mse {valmetrics}

mse

Description

Calculates the Mean squared error (MSE) from observed and predicted values.

Usage

mse(o, p)

Arguments

o

A numeric vector. Observed values.

p

A numeric vector. Predicted values.

Details

Interpretation: smaller is better. This metric is sometimes called mean squared deviation (MSD or RMSD2).

Value

Mean squared error (MSE).

Author(s)

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

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. doi: 10.1111/sum.12694

Examples

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