Plot Diagnostic Measures across Thresholds — dx_plot

Generates a line plot to visualize various diagnostic measures across different threshold values for a binary classification model. This visualization can help in selecting an optimal threshold based on the trade-offs between different measures.

Usage

dx_plot_thresholds(dx_obj)

Arguments

dx_obj: A dx object containing threshold-based statistics, including values for various diagnostic measures at different thresholds.

Value

A ggplot object representing the diagnostic measures across thresholds with the ability to further customize if desired.

Details

The function plots multiple lines representing different diagnostic measures such as NPV, PPV, sensitivity, specificity, and F1 score across a range of threshold values. Each line corresponds to a specific metric, illustrating how the measure changes as the classification threshold is varied. A vertical dashed line indicates the set threshold in the dx object for reference.

This plot is particularly useful for understanding the behavior of a classifier under different operating conditions and for identifying a threshold that balances the trade-offs between various measures according to the specific needs of the application.

Examples

dx_obj <- dx(
  data = dx_heart_failure,
  true_varname = "truth",
  pred_varname = "predicted",
  outcome_label = "Heart Attack",
  setthreshold = .3
)
dx_plot_thresholds(dx_obj)