plot_predict_interaction {randomForestExplainer} | R Documentation |
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")
[Package randomForestExplainer version 0.10.1 Index]