scoringutils (version 0.1.4)

mse: Mean Squared Error

Description

Mean Squared Error MSE of point forecasts. Calculuated as

$$ mean((true_values - predicted_values)^2) $$

Usage

mse(true_values, predictions)

Arguments

true_values

A vector with the true observed values of size n

predictions

A vector with predicted values of size n

Value

vector with the scoring values

Examples

# NOT RUN {
true_values <- rnorm(30, mean = 1:30)
predicted_values <- rnorm(30, mean = 1:30)
mse(true_values, predicted_values)
# }