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

In pkR-pkR/NNbenchmark: Datasets and Functions to Benchmark Neural Network Packages

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)

pkR-pkR/NNbenchmark documentation built on Dec. 3, 2023, 12:43 a.m.