This function evaluates training and testing performance
using common statistical accuracy metrics such as RMSE,
MAE, MB, MNMB, FGE, and R².
Usage
compute_stats(pred.train, train.obs, pred.test, test.obs)
Arguments
- pred.train
Numeric vector of model predictions (training set)
- train.obs
Numeric vector of observed values (training set)
- pred.test
Numeric vector of model predictions (testing set)
- test.obs
Numeric vector of observed values (testing set)
Value
A data.frame with Train/Test RMSE, MAE, MB, MNMB, FGE, and R².
Examples
if (FALSE) { # \dontrun{
stats <- compute_stats(pred.train, train.obs, pred.test, test.obs)
} # }