Dataset Obesity at age 18 (KID)

CaseId	object	criterion	recognition	cue1	cue2	cue3	cue4	cue5	cue6	cue7	cue8	cue9	cue10
1	boy1	441	1	1	1	1	1	1	1	1	1	1	0
2	girl1	425	1	1	0	1	1	1	0	1	0	1	1
3	boy2	404	1	1	1	1	0	1	0	1	0	1	0
4	girl2	398	1	1	1	1	0	1	1	1	0	1	1
5	boy3	392	1	1	0	1	0	1	1	1	0	1	0
6	boy4	391	1	0	0	0	0	0	0	1	0	0	0
7	girl3	390	1	1	1	1	1	1	1	1	1	1	1
8	girl4	388	1	0	0	1	1	1	1	1	1	0	1
9	girl5	386	1	0	0	1	1	1	1	1	0	0	1
10	girl6	384	1	1	1	1	1	1	0	1	1	1	1
11	boy5	380	1	1	1	1	1	1	1	1	1	1	0
12	girl7	379	1	1	1	1	1	1	1	1	1	1	1
13	girl8	378	1	0	0	0	0	0	0	0	0	0	1
14	boy7	373	1	0	0	0	0	1	1	0	0	0	0
15	boy8	370	1	0	0	0	1	0	1	0	1	1	0
16	boy9	369	1	0	0	0	1	0	0	1	1	1	0
17	boy10	368	1	1	1	1	1	1	1	1	0	0	0
18	girl9	367	1	1	0	1	1	1	1	1	1	1	1
19	boy11	366	1	1	1	1	1	1	0	1	1	1	0
20	boy12	365	1	1	0	1	0	1	1	1	0	1	0
21	girl10	362	1	0	1	0	0	0	0	0	0	1	1
22	boy13	361	1	0	1	1	1	0	1	1	1	1	0
23	girl11	358	1	0	1	1	1	1	1	1	1	1	1
24	girl12	357	1	1	1	1	1	1	1	1	1	1	1
25	girl13	355	1	1	1	0	1	0	1	1	1	0	1
26	boy15	354	1	1	1	0	0	0	1	0	1	0	0
27	boy16	353	1	1	1	1	1	0	0	0	1	0	0
28	girl14	348	1	0	0	0	0	1	1	0	0	0	1
29	girl15	345	1	1	1	0	0	0	1	1	1	1	1
30	boy17	343	1	0	1	0	1	0	0	0	1	0	0
31	girl17	342	1	1	1	0	1	0	1	1	1	1	1
32	girl18	341	1	1	1	0	0	0	1	0	1	0	1
33	girl19	340	1	1	1	0	1	0	0	0	1	0	1
34	boy19	339	1	1	1	1	1	1	0	1	1	0	0
35	girl20	338	1	0	1	1	1	1	1	0	0	1	1
36	boy20	335	1	0	0	0	1	0	1	0	1	0	0
37	girl22	334	1	0	0	0	0	0	0	0	0	1	1
38	boy21	333	1	0	0	0	0	0	1	0	0	0	0
39	girl23	330	1	1	0	1	0	1	0	0	0	0	1
40	girl24	328	1	1	1	1	1	1	0	1	1	0	1
41	girl25	327	1	1	1	0	0	0	1	0	1	0	1
42	girl26	324	1	0	0	0	0	0	0	0	0	0	1
43	girl27	322	1	0	0	0	0	0	0	0	0	0	1
44	boy22	316	1	0	0	0	0	0	0	0	0	0	0
45	boy23	310	1	0	0	0	0	0	0	0	0	0	0
46	girl28	300	1	0	0	0	0	0	1	0	0	1	1

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