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Showing content from https://blasbenito.github.io/spatialRF/reference/print_evaluation.html below:

Prints cross-validation results — print_evaluation • spatialRF

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

A table printed to the standard output.

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)

}

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