plot_tuning: Plots a tuning object produced by 'rf_tuning()'

In spatialRF: Easy Spatial Modeling with Random Forest

Plots a tuning object produced by rf_tuning()

Description

Plots the tuning of the hyperparameters num.trees, mtry, and min.node.size performed by rf_tuning().

Usage

plot_tuning(
  model,
  point.color = viridis::viridis(
    100,
    option = "F"
  ),
  verbose = TRUE
)

Arguments

model	A model fitted with rf_tuning(). Default: NULL
point.color	Colors of the plotted points. Can be a single color name (e.g. "red4"), a character vector with hexadecimal codes (e.g. "#440154FF" "#21908CFF" "#FDE725FF"), or function generating a palette (e.g. viridis::viridis(100)). Default: viridis::viridis(100, option = "F")
verbose	Logical, if TRUE, the plot is printed. Default: TRUE

Value

A ggplot.

See Also

rf_tuning()

Other visualization: plot_evaluation(), plot_importance(), plot_moran(), plot_optimization(), plot_residuals_diagnostics(), plot_response_curves(), plot_response_surface(), plot_training_df(), plot_training_df_moran()

Examples

if(interactive()){
  data(
    plants_rf,
    plants_xy
  )

  plants_rf_tuned <- rf_tuning(
    model = plants_rf,
    num.trees = c(25, 50),
    mtry = c(5, 10),
    min.node.size = c(10, 20),
    xy = plants_xy,
    repetitions = 5,
    n.cores = 1
  )

  plot_tuning(plants_rf_tuned)
}

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