plot_predict_interaction: Plot the prediction of the forest for a grid of values of two...

In ModelOriented/randomForestExplainer: Explaining and Visualizing Random Forests in Terms of Variable Importance

Plot the prediction of the forest for a grid of values of two numerical variables

Description

Plot the prediction of the forest for a grid of values of two numerical variables

Usage

plot_predict_interaction(
  forest,
  data,
  variable1,
  variable2,
  grid = 100,
  main = paste0("Prediction of the forest for different values of ", paste0(variable1,
    paste0(" and ", variable2))),
  time = NULL
)

Arguments

forest	A randomForest or ranger object
data	The data frame on which forest was trained
variable1	A character string with the name a numerical predictor that will on X-axis
variable2	A character string with the name a numerical predictor that will on Y-axis
grid	The number of points on the one-dimensional grid on x and y-axis
main	A string to be used as title of the plot
time	A numeric value specifying the time at which to predict survival probability, only applies to survival forests. If not specified, the time closest to predicted median survival time is used

Value

A ggplot2 object

Examples

forest <- randomForest::randomForest(Species ~., data = iris)
plot_predict_interaction(forest, iris, "Petal.Width", "Sepal.Width")
forest_ranger <- ranger::ranger(Species ~., data = iris)
plot_predict_interaction(forest, iris, "Petal.Width", "Sepal.Width")

ModelOriented/randomForestExplainer documentation built on March 23, 2024, 10:31 p.m.