Plot a binary confusion matrix as a heatmap with TP, FP, FN, TN labels. — plot_confusion

Computes a confusion matrix for binary classification tasks. Takes binary vectors of true and predicted labels. Uses the `target` value to define the positive class. Cells are labeled with TP, FP, FN, TN and counts. Class labels shown as "1" (positive) and "0" (negative). Uses ggplot2 with a simple blue color scale.

Usage

plot_confusion_matrix(
  y_true,
  y_selected,
  target = 1,
  title = NULL,
  x_label = NULL,
  y_label = NULL,
  caption = NULL
)

Arguments

y_true: Vector of true labels (numeric, factor, or logical).
y_selected: Vector of predicted labels (numeric, factor, or logical).
target: The value that should be treated as the positive class.
title: Optional plot title.
x_label: Optional x-axis label (default: "True Label").
y_label: Optional y-axis label (default: "Predicted Label").

Value

A ggplot2 object showing the confusion matrix heatmap.