evalence))/(((1-sensitivity)*prevalence) + ((specificity)*(1-prevalence)))$$ $$Detection Rate = A/(A+B+C+D)$$
$$Detection Prevalence = (A+B)/(A+B+C+D)$$
$$Balanced Accuracy = (sensitivity+specificity)/2$$
$$Precision = A/(A+B)$$
$$Recall = A/(A+C)$$
$$F1 = harmonic mean of precision and recall = (1+beta^2)*precision*recall/((beta^2 * precision)+recall)$$
where <code>beta = 1</code> for this function.
$$False Discovery Rate = 1 - Positive Predictive Value$$
$$False Omission Rate = 1 - Negative Predictive Val