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()

Examples

if(interactive()){

#loading example data
data(plant_richness_df)
data(distance_matrix)

#fitting random forest model
rf.model <- rf(
  data = plant_richness_df,
  dependent.variable.name = "richness_species_vascular",
  predictor.variable.names = colnames(plant_richness_df)[5:21],
  distance.matrix = distance_matrix,
  distance.thresholds = 0,
  n.cores = 1,
  verbose = FALSE
)

#evaluation with spatial cross-validation
rf.model <- rf_evaluate(
  model = rf.model,
  xy = plant_richness_df[, c("x", "y")],
  n.cores = 1
)

#checking evaluation results
print_evaluation(rf.model)

}

spatialRF documentation built on Aug. 19, 2022, 5:23 p.m.