pred_plot: Prediction Plots

In radiant.model: Model Menu for Radiant: Business Analytics using R and Shiny

Prediction Plots

Description

Prediction Plots

Usage

pred_plot(
  x,
  plot_list = list(),
  incl,
  incl_int,
  fix = TRUE,
  hline = TRUE,
  nr = 20,
  minq = 0.025,
  maxq = 0.975
)

Arguments

x	Return value from a model
plot_list	List used to store plots
incl	Which variables to include in prediction plots
incl_int	Which interactions to investigate in prediction plots
fix	Set the desired limited on yhat or have it calculated automatically. Set to FALSE to have y-axis limits set by ggplot2 for each plot
hline	Add a horizontal line at the average of the target variable. When set to FALSE no line is added. When set to a specific number, the horizontal line will be added at that value
nr	Number of values to use to generate predictions for a numeric explanatory variable
minq	Quantile to use for the minimum value for simulation of numeric variables
maxq	Quantile to use for the maximum value for simulation of numeric variables

Details

Faster, but less robust, alternative for PDP plots. Variable values not included in the prediction are set to either the mean or the most common value (level)

radiant.model documentation built on Oct. 16, 2023, 9:06 a.m.