Calculate Sensitivity and Specificity Values — get_sensitivity

This function calculates sensitivity (recall), specificity, and other related metrics (accuracy, precision, recall, F1 score, MCC) from predicted and true class labels.

Usage

get_sensitivity_specificity(predictions, observed, ml.model)

Arguments

predictions: A vector of predicted class labels or probabilities.
observed: A vector of true class labels.
ml.model: The trained machine learning model used to generate predictions.

Value

A data frame containing sensitivity, specificity, precision, recall, F1 score, MCC, and other metrics.