R/metrics.R
regression_metrics.Rd
Regression Metrics
regression_metrics(true, predicted, na.rm = TRUE, sample = NULL)
Numeric vector: True values.
Numeric vector: Predicted values.
Logical: If TRUE, remove NA values before computation.
Optional Character {"Training", "Validation", "Test", "Calibrated Training", "Calibrated Validation", "Calibrated Test"}: Sample the metrics describe.
RegressionMetrics object.
RegressionMetrics
EDG
true <- rnorm(100) predicted <- true + rnorm(100, sd = 0.5) regression_metrics(true, predicted)
#> <Regression Metrics> #> MAE: 0.35 #> MSE: 0.19 #> RMSE: 0.44 #> R²: 0.79