print_evaluation: Prints cross-validation results

In spatialRF: Easy Spatial Modeling with Random Forest

Prints cross-validation results

Description

Prints the results of an spatial cross-validation performed with rf_evaluate().

Usage

print_evaluation(model)

Arguments

model

A model resulting from rf_evaluate().

Value

A table printed to the standard output.

See Also

plot_evaluation(), get_evaluation()

Other model_info: get_evaluation(), get_importance(), get_importance_local(), get_moran(), get_performance(), get_predictions(), get_residuals(), get_response_curves(), get_spatial_predictors(), print.rf(), print_importance(), print_moran(), print_performance()

Examples

if(interactive()){

data(
  plants_rf,
  plants_xy
)

plants_rf <- rf_evaluate(
  model = plants_rf,
  xy = plants_xy,
  repetitions = 5,
  n.cores = 1
)

print_evaluation(plants_rf)

}

spatialRF documentation built on Dec. 20, 2025, 1:07 a.m.