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70% of all depressed cases (n=37), with a relatively low number of false alarms (n=23) and misses (n=17). Not sure but is n=40 "wrong" not a lot more than
by merb 10y ago
70% of all depressed cases (n=37), with a relatively low number of
false alarms (n=23) and misses (n=17).
Not sure but is n=40 "wrong" not a lot more than found cases????
- vmateixeira 10y agoThought exactly the same.
- jupiter90000 10y agoNot just that, but if we take 54 out of the 100 mentioned by that quote as being depressed (37 correctly classified and 17 misses), that means of the 46 non-depressed there are 23/46=50% false positives... I mean, maybe that's acceptable, but imagine being not depressed and getting targeted incorrectly with the same chances as a coin toss... seems like an undesirable aspect of that model to me. Edit: they mention an alternative model too that gives about 30% true positive rate for depression but is more accurate for non-depressed (probably since it mostly classifies people as non-depressed). The whole survey methodology and everything sounds suspect though, this study is just not something I'd put alot of weight on.