NNbenchmark (version 3.2.0)

funRMSE: Calculate the RMSE, MSE, MAE, and WAE Rounded to 4 digits

Description

Calculate the Root Mean Squared Error (RMSE), the Mean Squared Error (MSE), the Mean Absoluter Error (MAE), and the Worst Absolute Error (WAE). The result is rounded to 4 digits by default. Apply na.rm = TRUE

Usage

funRMSE(y_pred, y0, dgts = 4)
funMSE(y_pred, y0, dgts = 4)
funMAE(y_pred, y0, dgts = 4)
funWAE(y_pred, y0, dgts = 4)

Arguments

y_pred

numeric vector of the predicted values

y0

numeric vector of the observed values

dgts

integer value for how many digits to round to

Value

A numeric value, either the RMSE, MSE, MAE, or WAE.

Examples

# NOT RUN {
y0 <- 1:19
y_pred <- y0 + rnorm(length(y0), sd = 0.3)
funRMSE(y_pred, y0)
funMSE( y_pred, y0)
funMAE( y_pred, y0)
funWAE( y_pred, y0)

# }