> I don't have the stats grounding to come up with the proportion of true positives to false positives, but I suspect this would be "pretty bad" — vastly more f

> I don't have the stats grounding to come up with the proportion of true positives to false positives, but I suspect this would be "pretty bad" — vastly more false positives than true positives IANAStatistician, but let’s consider the system is right 91% of the time and we try to detect those 7% you mentioned. Let’s take 1000 people. 70 people are depressive and 930 aren’t. Out of those, 700.91=63 will be correctly classified as depressive by the system and 9300.91=846 will be correctly classified as non-depressive. That leaves us with 63 positives, 846 negatives, 7 false negatives and 84 false positives. False positives largely outnumber false negatives, but they also outnumber the true positives. (if a statistician read this, please correct me if I’m wrong)