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Calculate confusion values

Source: R/machine_learning.R
calculate_confusion_values.Rd

This function computes the confusion matrix values (True Positives, False Negatives, True Negatives, and False Positives) based on the given metrics and the true target values.

Usage

calculate_confusion_values(metrics, target)

Arguments

metrics

A data frame with metrics obtained using get_sensitivity_specificity(), containing at least two columns: "Sensitivity" and "Specificity".

target

A character vector containing the true values from the target variable. It should have the same length as the predictions.

Value

A list containing four elements:

  • TP: True Positives

  • FN: False Negatives

  • TN: True Negatives

  • FP: False Positives