Evaluate performance through BIC

Evaluate the performance of a ModelLm using the Bayesian information criterion.

Usage

EvaluatorBIC(.model)

Arguments

.model

A ModelLm object for which the performance should be measured.

Value

The BIC value of the fitted model.

See also

EvaluatorAIC() to get Akaike information criterion (AIC), EvaluatorMAE() for computing the mean absolute error, EvaluatorMSE() for the mean-squared error.

Examples

cars.ds <- Dataset(data = cars, target = "dist")
mod_fit <- fit(InducerLm(), cars.ds, formula = as.formula("dist~speed"))
EvaluatorBIC(mod_fit)
#> [1] 424.8929