Table 10.

Control users most strongly misclassified in each variation of the preemptive depression identification experiment^a.

		One depression user per control user (1:1)	One depression user per 3 control users (1:3)	One depression user per 5 control users (1:5)	One depression user per 10 control users (1:10)
Classifier		MentalBERT LMb	MentalBERT LM	MentalRoBERTa LM	SVMc using Word embeddings
User		c521	c13	c13	c535
Depressed probability		0.99	0.95	0.91	0.91
Sum of post lengths in words		1513	8489	8489	1595
Topic		elo play team bronze games	god jesus people good life	god jesus people good life	people shit reddit guy man
Chief TF-IDFd features		team just suck elo play game like good sydtko win	god think way thing try know jesus people say like	god think way thing try know jesus people say like	say thank guy people reddit man make tell watch let
Depressed vocabulary counts
	people	4	48	48	6
	know	2	36	36	3
	thing	3	28	28	1
	feel	1	6	6	1
	time	2	6	6	4
	woman	0	4	4	0
	go	0	4	4	5
	want	3	16	16	1
	life	0	46	46	1
	relationship	0	8	8	0
Control vocabulary counts
	game	7	0	0	0
	trade	0	0	0	0
	key	0	0	0	0
	team	9	0	0	0
	play	9	6	6	0
	player	2	0	0	0
	shiny	0	0	0	0
	hatch	0	0	0	0
	thank	1	4	4	1
	add	1	0	0	0

^aLexical properties of those users’ posts are provided.

^bLM: language model.

^cSVM: Support Vector Machine.

^dTF-IDF: Term Frequency–-Inverse Document Frequency.