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We used ML and assumptions like: "Group photos are an indicator of happiness" to guess if a person is depressed.

God help the millennials. The only winning move is not to play.




They didn't use that as an indicator of depression. All they did was pass into the model the number of faces in the frame. The analysis afterwards suggested that depressed people tend to not have group photos.


Shit, I don't have group photos :(


I guess I should photoshop more people in my stock facebook placeholder :^(


Do you also have the other markers?

It's not like a single marker determines everything.

It's not even like having ALL markers means one is 100% depressed.

It merely gives you a confidence score in the person being depressed.


On the other hand, if you do have all the markers, maybe you should step back and consider.


Well doh

People who don't hang out with other people are more at risk for depression AND they are less likely to have group photos.

This is called a latent variable.


Not latent since you can directly measure it. You are thinking of confounding variable.




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