funRMSE {NNbenchmark} | R Documentation |
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
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)
[Package NNbenchmark version 3.2.0 Index]