f_riskScorePerforma​nce

Returns true positives, true negatives, false positives, and false negatives of a test.

Arguments: binary outcome variable obj_outcome whose dimensions are the same as obj_testScore.

Ouputs: test results (true positives, true negatives, false positives, and false negatives of a test).

The novelty is the speed of this function. The populations of true/false positives and true/false negatives are calculated without deploying any iterations over the entire population (which can require, e.g., 30 minutes to iterate over a population of 10^6).

I found this highly useful when I wrote home-brew machine learning code in MATLAB. I needed to calculate sensitivity, specificity, positive/negative predictive values, and concordance.