This function calculates the precision of a model based on the provided metrics and the true target values. Precision is defined as the ratio of true positive predictions to all positive predictions (true positives + false positives).
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.