valmetrics (version 1.0.0)

mse: 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.

Value

Mean squared error (MSE).

Details

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

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

Examples

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

# }