This function calculates the accuracy of a model based on the provided metrics and the true target values. The accuracy is computed as the ratio of correct predictions (both true positives and true negatives) to the total number of predictions.
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.