plot_twoclass_pred_factorcol: Visualizing the predicted probabilities vs. a factor variable...

In shinymodels: Interactive Assessments of Models

Visualizing the predicted probabilities vs. a factor variable for a classification model

Description

This function plots the predicted probabilities against a factor column based on tidymodels results for a two-class classification model.

Usage

plot_twoclass_pred_factorcol(
  dat,
  y_name,
  factorcol,
  alpha = 1,
  size = 1,
  prob_scaling = FALSE,
  event_level = "first",
  prob_eps = 0.001,
  source = NULL
)

Arguments

dat	The predictions data frame in the organize_data() result. Following variables are required: .outcome, .pred, .color, and .hover.
y_name	The y/response variable for the model.
factorcol	The factor column to plot against the predicted probabilities.
alpha	The opacity for the geom points.
size	The size for the geom points.
prob_scaling	The boolean to turn on or off the logit scale for probability.
event_level	A single character value for the level corresponding to the event.
prob_eps	A small numerical constant to prevent division by zero.
source	A character string of length 1 that matches the source argument in event_data().

Value

A plotly::ggplotly() object.

shinymodels documentation built on May 29, 2024, 2:22 a.m.