5 ms·
90% isn't all that great of a result considering only about 6.7% of the US population suffers from depression each year[1] and the study was done in California.
by prsutherland 13y ago
90% isn't all that great of a result considering only about 6.7% of the US population suffers from depression each year[1] and the study was done in California. Just returning false would give you better accuracy.
Still Eliza on steroids is pretty cool. Can't wait till they integrate it into emacs.
[1] http://www.nimh.nih.gov/statistics/1MDD_ADULT.shtml http://www.nimh.nih.gov/statistics/1MDD_ADULT.shtml
- GhotiFish 13y agohahahaha! I guess it's how you interpret that 90% figure. If you interpret it as a measure of the tests sensitivity, then you're right 90% is pretty easy to beat! If you interpret it as a measure of the tests specificity, then 90% accuracy is pretty darn good! A little more accuracy would be nice, but then the title wouldn't be click-bait. I like the idea though. Accurate depression test: Are you depressed? No. 93.3% accurate!
- aray 13y agoThey give their hypothesis in the paper, and each is shown with a p value < 0.05, so is statistically significant (and better than just returning false :) http://schererstefan.net/assets/files/scherer_etal_FG2013.pdf http://schererstefan.net/assets/files/scherer_etal_FG2013.pd...
- prsutherland 13y agop values are a measure of the accuracy of the numbers. They are measuring how close the sample mean is to the population mean. In the case of the paper, the p values represent how close the sample mean of the head gaze, eye gaze, smile intensity and smile duration measurements are to the population means of the same values. http://en.wikipedia.org/wiki/P-value http://en.wikipedia.org/wiki/P-value