tests/testthat/_snaps/twoclass_plots.md

In shinymodels: Interactive Assessments of Models

can accurately plot predicted probabilities vs true class plot

Code
  plot_twoclass_obs_pred(org, org$y_name)
Condition
  Error in `first_level()`:
  ! 'class' is not a column in the dataset

object 'y_name' not found

can accurately plot confusion matrix plot

Code
  plot_twoclass_conf_mat(org)
Condition
  Error in `UseMethod()`:
  ! no applicable method for 'conf_mat' applied to an object of class "c('two_cls_shiny_data', 'shiny_data')"

can accurately plot predicted probabilities vs. a numeric column plot

Code
  plot_twoclass_pred_numcol(org, org$y_name, "AXL")
Condition
  Error in `first_level()`:
  ! 'class' is not a column in the dataset

object 'y_name' not found

object 'potato' not found

can accurately plot predicted probabilities vs. a factor column plot

Code
  plot_twoclass_pred_factorcol(org, org$y_name, "fact_col")
Condition
  Error in `first_level()`:
  ! 'class' is not a column in the dataset

object 'y_name' not found

object 'potato' not found

can accurately plot the ROC curve

Code
  plot_twoclass_roc(org, org$y_name)
Condition
  Error in `first_level()`:
  ! 'class' is not a column in the dataset

object 'y_name' not found

can accurately plot the PR curve

Code
  plot_twoclass_pr(org, org$y_name)
Condition
  Error in `first_level()`:
  ! 'class' is not a column in the dataset

object 'y_name' not found

Code
  plot_twoclass_pr(org$predictions, "mpg")
Condition
  Error in `first_level()`:
  ! 'mpg' is not a column in the dataset

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