mse: Mean Squared Error

Description Usage Arguments Value Examples

View source: R/metrics_point_forecasts.R

Description

Mean Squared Error MSE of point forecasts. Calculuated as

mean((true_values - predicted_values)^2)

Usage

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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

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true_values <- rnorm(30, mean = 1:30)
predicted_values <- rnorm(30, mean = 1:30)
mse(true_values, predicted_values)

nikosbosse/scoringutils2 documentation built on Jan. 8, 2021, 12:12 p.m.