Measure Performance for Continuous Response Models

Evaluates the performance of a continuous response model using RMSE and MAE.

Usage

measure_cont(obs, pred)

Arguments

obs

A numeric vector of observed (true) values.

pred

A numeric vector of predicted values.

Value

A list containing:

rmse

Root Mean Squared Error.

mae

Mean Absolute Error.

Examples

obs <- c(3.2, 4.1, 5.6)
pred <- c(3.0, 4.3, 5.5)
measure_cont(obs, pred)
#> $rmse
#> [1] 0.1732051
#> 
#> $mae
#> [1] 0.1666667
#> 
# Returns: list(rmse = 0.1732051, mae = 0.1666667)