Datasets:

adeputr4
/

mental-health-gaming-dataset

age int64	gender string	income int64	daily_gaming_hours float64	weekly_sessions int64	years_gaming int64	sleep_hours float64	caffeine_intake float64	exercise_hours float64	stress_level int64	anxiety_score float64	depression_score float64	social_interaction_score float64	relationship_satisfaction float64	academic_performance float64	work_productivity float64	addiction_level float64	multiplayer_ratio float64	toxic_exposure float64	violent_games_ratio float64	mobile_gaming_ratio float64	night_gaming_ratio float64	weekend_gaming_hours float64	friends_gaming_count int64	online_friends int64	streaming_hours float64	esports_interest int64	headset_usage int64	microtransactions_spending float64	parental_supervision int64	loneliness_score float64	aggression_score float64	happiness_score float64	bmi float64	screen_time_total float64	eye_strain_score float64	back_pain_score float64	competitive_rank int64	internet_quality int64
51	female	8,615	3.68	22	17	5.26	1	0.18	3	4.06	5.103475	7.85	9.55	68.8	77.12	2.02	0.39	0.05	0.51	0.23	0.32	1.5	20	186	2.82	1	1	1,746.97	0	2.87	3.19	5.2	19.69	4.71	5.71	4.81	80	10
41	female	39,453	5.7	34	16	9.2	0.7	1.44	8	6.76	7.003826	7.06	6.96	38.11	44.94	5.85	0.23	0.37	0.43	0.24	0.32	17.93	37	21	1.34	8	1	342.04	7	4.17	7.73	5.4	26.37	6.62	6.77	3.99	57	2
27	male	40,466	1.58	8	22	7.39	2.24	3.15	3	9.57	0.561965	1.12	2.61	97.44	54.77	0.08	0.06	0.15	0.48	0.27	0.42	2.99	45	146	3.56	8	1	57.95	9	9.38	2.85	5.17	25.15	9.3	2.16	4.75	59	10
55	male	51,076	6.11	39	24	7.99	1.65	2.8	1	4.97	2.475117	6.59	6	67.65	88.56	2.77	0.53	0.36	0.64	0.57	0.82	1.99	11	133	1.8	6	1	617.32	5	8.24	7.19	8.62	26.42	13.81	4.72	5.37	89	1
20	male	86,116	3.65	17	0	7.12	1.02	1.01	2	8.73	2.268346	6.03	3.54	62.34	68.82	3.37	0.78	0.25	0.29	0.47	0.83	9.23	24	399	1.3	4	0	1,398.39	9	6.65	2.53	9.71	25.75	10.74	3.9	6.44	15	10
33	female	107,013	1.97	34	19	7.51	0.09	2.33	4	2.47	2.448944	6.28	9.63	80.06	82.63	1.34	0.37	0.52	0.68	0.55	0.93	3.62	19	240	1.01	9	1	876.42	3	5.57	7.82	4.39	16.61	12.66	7.87	4.56	31	4
51	female	54,483	3.15	37	3	6.42	1.13	0.78	6	5.96	2.51959	3.08	1.22	73.45	72.2	2.33	0.7	0.33	0.13	0.87	0.4	2.43	26	82	0.8	7	0	119.26	9	3.32	4.31	5.58	29.69	9.57	2.72	1.59	79	4
31	male	70,054	2.61	31	0	8.45	4.8	2.59	10	5.43	0.612732	3.19	3.87	89.32	54.98	0.67	0.3	0.16	0.22	0.74	0.45	2.53	40	299	1.27	9	0	1,316.03	3	5.96	5.52	5.43	19.54	4.24	6.97	3.7	74	1
35	other	39,958	1.34	15	2	6.14	5.18	0.47	8	3.7	1.49141	6.36	4.89	90.92	100	2.51	0.72	0.39	0.82	0.29	0.17	6.93	4	378	0.99	3	0	77.7	0	0.91	7.1	5.75	22.52	3.69	3.9	6.47	14	9
23	female	19,047	2.52	1	4	5.11	4.49	0.62	4	5.66	0	8.77	5.44	66.69	68.2	1.64	0.71	0.13	0.43	0.22	0.55	13.29	9	303	1.63	7	1	808.5	1	2.92	4.73	3.97	20.66	5.09	4.18	6.3	99	10
23	male	21,601	1.7	38	15	9.18	1.11	3.08	9	4.22	1.207235	7.61	7.07	91.52	70.06	0.11	0.84	0.49	0.23	0.64	0.94	8.12	40	203	0.14	5	1	442.32	3	5.49	3.9	3.8	24.2	5.17	4.85	2.55	54	5
36	male	128,499	4.02	33	15	8.77	2.63	0.39	6	4.25	7.300919	6.84	2.78	60.42	84.34	4.5	0.48	0.13	0.72	0.39	0.71	10.33	35	368	1.67	7	1	293.84	0	7.62	2.97	7.62	25.24	8.62	4.63	7.16	27	10
48	female	142,055	1.16	8	8	6.92	0.38	0.8	5	6.6	0	7.64	5.67	97.99	86.27	0.05	0.85	0.34	0.25	0.57	0.48	5.74	25	400	0.76	9	1	709.16	9	3.01	4.54	5.22	18.09	11.32	4.17	6.14	5	7
52	male	120,251	2.49	8	6	6.51	0.17	0.19	9	6.89	0.848252	2.94	7.22	80.69	66.3	2.79	0.74	0.48	0.42	0.94	0.68	0.91	34	153	0.81	8	1	614.31	8	10	3.12	3.36	15.53	4.85	3.41	4.5	36	4
36	male	51,636	0.8	31	5	7.91	4.15	2	7	3.55	0.007967	5.29	5.62	41.96	62.29	0.95	0.3	0.13	0.41	0.39	0.43	2.05	33	106	1.58	10	1	96.99	5	5.06	5.72	5.32	19.95	5.14	6.27	1.17	50	2
34	male	70,847	3.72	32	5	9.41	1.58	0.14	2	3.22	4.871015	7.52	6.53	61.88	57.99	4.06	0.13	0.02	0.48	0.44	0.57	7.14	36	395	0.65	1	0	91.41	2	4.75	9.04	6.7	26.46	5.74	4.37	5.07	61	2
14	female	51,846	4.37	8	5	6.38	0.42	0.47	4	7.42	2.981542	3.21	5.85	72.21	71.83	2.95	0.33	0.19	0.27	0.67	0.16	0.53	46	450	3.4	10	1	67.78	7	6.24	6.78	2.78	33.6	11.38	4.35	1.85	72	8
36	female	72,587	1.18	5	5	6.27	0.89	3.8	5	5.08	0.479725	4.87	3.4	66.92	67.43	0.06	0.59	0.19	0.36	0.73	0.73	2.33	4	222	1.87	0	0	72.61	4	7.44	3.52	3.79	27.2	12.21	7.08	0	95	1
56	male	117,567	5.89	26	4	9.55	3.72	1.94	8	6.44	5.474931	6.02	6.44	74.68	65.41	6.08	0.67	0.19	0.67	0.27	0.17	8.7	20	386	0.83	0	0	948.35	10	10	7.83	7.99	20.85	10.36	5.75	4.12	31	9
42	female	39,602	2.15	17	1	6.41	1.11	6.58	3	5.31	3.801519	7.44	7.18	64.77	77.29	2.13	0.29	0.37	0.39	0.75	0.62	13.39	43	242	0.22	5	1	300.36	4	6.77	7.11	2.47	18.07	4.51	4.36	2.48	32	3
50	male	46,441	7.48	36	13	6.98	4.25	1	10	3.19	9.954585	7.5	6.59	80.21	32.71	5.75	0.51	0.5	0.17	0.54	0.55	4.69	19	437	0.62	3	0	202.18	8	6.08	3.78	6.24	23.06	9.12	0	2.42	9	4
14	male	35,076	1.14	34	5	6.63	3.42	0.29	10	5.87	2.017278	4.46	8.64	63.14	88.84	2.28	0.56	0.13	0.46	0.15	0.56	9.93	16	330	7.56	8	1	318.62	8	6.13	6.14	8.34	25.09	5	4.93	5.13	87	3
33	female	76,076	3.46	26	9	8.22	0.31	4.15	6	6.46	4.648961	2.55	5.04	69.93	100	4.49	0.87	0.13	0.37	0.86	0.72	2.78	12	282	1.26	9	1	320.35	8	6.73	5.52	7.18	21.58	7.29	4.1	4.57	3	8
45	male	32,392	4.51	24	23	6.88	3.26	0.03	10	3.63	3.167244	3.76	4.78	54.98	74.4	4.78	0.66	0.12	0.65	0.68	0.86	2.86	26	285	0.75	6	1	811.78	1	7.7	1.66	6.39	30.94	16.16	1.4	3.26	24	4
24	other	109,840	1.38	27	3	8.98	3.94	2.83	9	3.79	1.728106	5.12	7.97	79.72	85.4	0.91	0.54	0.52	0.48	0.7	0.48	8	9	379	1.6	9	1	131.9	3	1.43	6.84	5.21	17.97	2.43	5.3	5.33	97	10
34	female	56,327	1.6	34	6	5.17	0.34	1.4	6	2.94	1.054962	7.17	5.03	89.26	79.11	1.09	0.35	0.55	0.74	0.8	0.16	6.18	45	44	1.24	2	1	469.81	0	5.7	8.79	4.12	26.55	5.86	4.61	5.56	52	9
56	male	84,454	0.34	20	23	5.67	2.84	1.54	10	6.78	0	5.89	3.87	90.96	85.53	0	0.68	0.24	0.36	0.44	0.83	1.91	32	23	2.16	9	1	629.85	4	6.66	5.93	5.24	25.19	4.04	3.45	4.19	48	4
37	male	74,036	4.16	36	4	7.76	3.87	1.51	10	2.22	4.760254	4.79	9.05	51.84	63.77	2.35	0.21	0.08	0.36	0.54	0.89	7.88	45	296	0.76	0	0	127.18	6	2.37	3.8	4.28	28.58	5.63	3.25	3.53	61	10
39	female	141,414	1.02	38	5	5.28	0.48	1.55	9	2.8	0.912758	8.15	4.73	85.27	81.9	0.8	0.58	0.13	0.41	0.25	0.61	2.77	8	383	0.57	7	0	10.53	2	1.25	5.54	3.16	26.44	5.36	1.75	8.5	24	3
54	male	90,916	6	31	3	6.93	3.78	0.72	2	4.87	5.842421	7.26	4.67	64.17	78.45	4.31	0.65	0.12	0.17	0.5	0.68	7.8	48	482	3.79	3	1	276.57	7	3.14	1.03	7.6	22.41	8.15	5.87	5.16	96	2
40	male	84,918	0.25	22	11	7.71	9	0.45	4	3.34	0	6.47	4.64	74.29	55.52	0	0.61	0.61	0.36	0.67	0.44	2.72	20	286	0.98	10	1	1,778.56	9	5.22	5.94	5.24	18.93	10.77	8.46	3.28	25	4
28	female	78,999	0.99	29	13	5.72	0.17	0.88	7	5.03	0.935041	5.75	8.8	78.19	53.77	1.96	0.54	0.2	0.37	0.59	0.64	12.79	27	166	2.29	9	1	482.14	1	2.84	5.03	4.89	25.25	1.64	7.78	3.99	11	9
27	male	33,824	2.62	16	14	8.51	0.27	0.1	10	4.75	2.390435	7.69	5.38	76.17	80.75	1.72	0.23	0.33	0.36	0.42	0.84	9.55	46	426	2.25	5	0	373.49	3	5.58	4.9	7.3	25.02	6.65	8.36	4.48	34	6
59	male	52,879	6.08	21	8	6.86	1.92	0.49	8	1.28	1.923446	5.97	7.88	67.34	85.72	3.13	0.26	0.29	0.28	0.09	0.5	4.28	46	236	4.4	4	1	94.06	4	4.46	6.25	9.29	26.41	9.8	3.85	5.96	16	6
56	male	40,754	5.17	18	24	6.74	0.56	1.3	6	4.9	0.232811	6.83	5.8	84.62	66.71	3.08	0.15	0.12	0.17	0.3	0.41	7.89	1	444	4.24	0	0	42.71	8	3.41	7.86	4.78	24.12	7.54	2.19	6.22	31	4
15	male	66,658	1.07	31	12	6.67	0.19	6.29	7	7.6	1.056338	7.92	4.88	50.11	71.11	0	0.42	0.5	0.87	0.51	0.61	14.03	40	177	2.22	1	1	464.78	0	6.45	2.72	6.09	24.78	4.57	2.11	5.47	96	10
49	male	89,317	7.5	12	0	8.04	0.25	2.42	2	7.35	6.424999	6.1	6.33	68.94	55.06	5.38	0.19	0.1	0.28	0.74	0.54	7.31	0	60	1.55	3	0	126.08	1	5.59	5.11	5.4	22.4	9.34	3.92	2.95	17	2
19	female	128,017	8	32	6	5.79	8.49	6	3	7.64	6.120377	6.59	1.61	55.89	34.71	6.25	0.89	0.38	0.43	0.65	0.73	4.75	9	216	1.68	1	1	745.56	10	5.37	5.11	3.77	26.7	11.96	3.07	3.95	22	1
33	female	130,936	1.72	35	15	6.57	0.6	0.7	5	5.69	2.129915	10	0.95	87.82	74.05	1.57	0.6	0.19	0.32	0.64	0.87	6.45	34	149	0.8	7	0	568.89	4	4.23	4.58	6.29	30.79	6.97	4.76	1.72	24	2
21	male	25,023	6.59	6	12	6.59	2.99	1.44	1	4.92	4.776505	6.29	4.73	50.85	77.94	5.67	0.6	0.28	0.22	0.37	0.49	10.56	24	281	0.43	10	0	341.02	1	5.7	5.17	8.08	22.88	7.34	3.85	6.6	0	10
51	female	61,159	4.88	9	18	4.8	2.87	3.68	1	4.26	2.454246	5.08	2.3	75.28	74.59	2.76	0.31	0.14	0.37	0.32	0.74	21.17	43	316	2.95	0	0	817.23	7	4.48	4.63	9.61	28.99	16.57	5.04	0.56	63	6
30	male	70,010	4.64	26	11	5.75	0.79	1.35	9	6.89	5.782355	4.92	6.2	37.43	36.85	5.2	0.68	0.18	0.12	0.57	0.78	1.45	0	443	2.38	1	0	49.62	3	3.61	4.18	5.82	18.66	9.34	6.61	4.09	51	9
16	female	10,752	2.08	1	3	6.54	8.22	0.76	9	4.14	0	9.5	4.3	71.69	77.15	0.71	0.71	0.12	0.22	0.45	0.79	4.35	11	13	0.52	9	1	132.89	10	6.83	5.2	6.78	19.14	4.73	8.74	1.04	44	2
37	male	85,058	6.77	21	24	4.89	2.31	3.14	10	7.32	4.207531	6.64	9.89	66.53	30.66	4.32	0.53	0.14	0.37	0.59	0.59	2.49	44	340	0.75	2	1	204.9	8	6.18	5	6.73	15.98	9.21	7.42	2.77	52	4
26	female	132,416	4.02	23	7	10.29	3.62	0.55	8	6.87	2.11863	3.24	8.27	73.05	60.52	3.45	0.47	0.12	0.54	0.4	0.82	0.95	27	56	2.08	1	0	224.24	1	0.88	2.8	3.38	29	9.27	4.13	6.84	81	4
21	male	109,421	7.61	39	6	5.18	0.31	0.62	8	5.3	7.521844	2.33	5.58	75.82	59.01	6.45	0.95	0.66	0.23	0.49	0.85	3.37	17	71	1.16	4	0	189.88	0	4.31	6	4.2	29.06	11.76	3.88	1.83	42	7
38	male	59,227	2.48	3	0	6.21	2.78	5.53	1	4.28	0.90888	3.32	5.49	59.96	57.99	0.64	0.69	0.44	0.26	0.42	0.34	4.77	32	347	1.86	3	1	695.48	5	5.78	3.7	5.95	26.34	4.35	3.8	0.25	74	4
14	female	15,690	1.6	34	20	7.85	0.65	0.59	10	6.51	2.309947	1.36	4.71	61.36	63.68	0.31	0.74	0.14	0.38	0.63	0.63	2.74	0	425	1.02	2	0	765.21	2	8.5	6.23	4.25	23.74	10.72	4.67	3.75	14	7
32	male	125,309	3.9	18	4	7.04	0.02	0.55	7	4.96	5.237353	3.28	4.7	80.05	88.98	3.47	0.51	0.22	0.74	0.46	0.69	4.16	44	44	0.44	1	0	637.56	7	6.98	6.51	3.69	20.49	4.58	1.18	2.2	70	5
40	male	141,923	3.86	23	3	5.92	0.4	0.35	8	5.67	2.667084	7.23	5.48	51.82	88.55	3.62	0.84	0.18	0.59	0.83	0.59	4.99	1	88	0.26	4	1	219.41	10	6.86	5.08	6.82	20.81	4.51	5.27	2.84	15	8
59	male	71,205	2.63	23	17	6.54	8.11	3.09	7	5.68	5.857597	7.29	3.57	54.32	90.24	4.86	0.21	0.29	0.34	0.93	0.43	5.96	2	75	1.36	7	0	101.09	10	4.74	6.97	9.25	23.69	3.81	4.14	4.46	69	8
56	male	24,479	1.74	14	3	4.84	4.27	2.53	7	4.89	1.119484	2.01	4.39	59.42	73.35	1.5	0.36	0.16	0.57	0.32	0.41	0.73	43	454	2.1	5	0	772.83	10	5.53	5.6	9.75	21.42	6.5	1.61	1.89	47	6
20	female	93,784	2.91	22	7	7.11	3.92	4.46	5	7.3	2.436584	5.56	4.19	80.21	80.22	2.5	0.82	0.08	0.54	0.56	0.18	5.09	8	409	1.92	7	0	309.51	8	3.78	7.89	7.75	24.87	4.14	5.75	3.23	41	6
59	male	86,112	0.8	22	1	8.13	0.78	0.22	5	4.7	0	3.82	8.75	79.74	76.77	1.4	0.66	0.24	0.67	0.84	0.71	3.22	5	353	2.21	7	0	58.33	9	3.06	5.44	5.81	29.15	5.45	7.22	1.06	82	3
47	male	130,279	0.61	6	15	6.46	5.14	0.79	2	1.86	0.707121	7.6	8.51	71.39	100	0	0.78	0.5	0.47	0.86	0.12	7.42	19	464	0.25	5	1	162.98	5	4.41	7.67	5.24	33.04	1.43	7.5	2.43	76	8
26	male	145,888	3.6	30	23	7.76	2.24	2.94	1	3.2	0.503977	5.64	3.97	59.83	63.34	3.01	0.91	0.15	0.55	0.25	0.45	6.26	42	258	1.06	1	0	2,763.68	9	3.68	6.57	8.21	24.79	9.25	5.06	4.6	10	7
29	female	59,846	1.41	30	5	6.83	0.33	0.34	1	1.32	1.108545	5.32	9.2	76.65	68.87	1.27	0.26	0.19	0.64	0.84	0.46	5.01	8	119	2.2	3	0	301.54	3	2.11	5.26	6.65	26.52	3.07	7.79	1.83	49	4
48	male	101,012	4.46	7	23	8.23	1.16	0.28	4	3.42	1.800638	2.43	7.67	61.4	68.82	4.59	0.48	0.18	0.35	0.32	0.82	7.7	33	117	2.92	6	0	327.5	10	5.22	1.39	9.2	22.76	8.08	3.32	3.57	17	4
52	other	100,662	6.12	25	5	10.26	2.14	3.53	1	7.89	4.05237	4.87	7.97	56.78	69.08	5.74	0.26	0.59	0.17	0.66	0.84	4.22	15	181	0.03	8	1	694.94	4	4.56	4.41	4.33	29.47	9.79	8.28	6.64	35	8
16	male	128,799	0.66	31	8	4.69	0.48	2.54	9	4.95	0.325421	6.65	3.52	92.84	81.64	1.93	0.12	0.74	0.04	0.25	0.33	5.7	27	255	1.29	9	1	2,270.06	0	4.33	5.99	3.59	26.13	8.4	2.46	7.76	33	10
14	female	54,077	3.54	11	22	4.44	0.53	3.91	6	8.18	0	4.49	6.23	82.47	70.52	1.11	0.92	0.12	0.55	0.6	0.42	8.54	27	263	1.08	4	1	291.52	1	4.5	2.4	3.26	20.47	7.66	0	2.74	82	9
18	male	81,756	4.22	10	16	4.95	0.14	0.17	7	3.13	2.08795	8.13	3.84	62.81	69.86	2.94	0.71	0.14	0.15	0.6	0.74	1.35	43	455	2.96	2	0	289.49	10	4.93	4.75	5.53	27.23	9.09	4.24	6.22	70	4
54	female	51,680	5.03	5	13	5.77	2.59	0.01	10	4.89	5.476104	3.44	5.1	45.31	73.98	3.22	0.67	0.13	0.48	0.33	0.8	3.64	0	451	2.62	10	1	516.83	6	4.14	5.13	8.68	25.52	6.4	6.87	3.42	33	5
16	male	81,184	6.17	19	24	2.94	3.36	1.72	4	4.51	0.881897	3.78	6.89	81.47	87.78	2.87	0.81	0.04	0.52	0.08	0.84	3.58	21	225	0.58	5	1	275.91	8	4.48	5.83	3.47	18.88	12.59	2.03	1.81	84	6
41	male	60,181	2.53	19	5	8.05	1.28	0.07	7	4.7	3.716323	6.02	5.1	80.26	54.98	2.26	0.54	0.05	0.57	0.37	0.45	6.51	41	385	2.52	1	0	1,145.54	4	3.55	4.98	5.89	22.92	5.9	0	5.84	0	5
30	other	93,635	2.5	2	3	6.92	3.05	2.53	2	6.19	2.276253	6.21	4.4	79.05	67.18	3.02	0.27	0.08	0.24	0.16	0.29	5.83	21	102	4.46	5	1	7.06	6	5.24	4.8	6.2	21.87	3.61	5.6	5.75	34	4
38	female	36,292	4.71	20	22	8.11	1.13	0.79	8	5.6	4.730196	6.32	6.11	87.93	57.9	3.93	0.6	0.16	0.27	0.64	0.16	3.11	32	232	5.56	2	1	960.27	5	1.77	4.17	7.74	21.42	13.82	8.9	2.1	51	10
56	male	10,879	6.38	1	15	8.03	3.32	1.53	9	4.39	2.613177	7.91	5.84	77.46	57.34	2.52	0.75	0.2	0.28	0.49	0.6	8.71	14	346	1.43	1	0	1,672.27	5	3.07	3.19	6.93	11.07	13.36	9.85	3.29	30	4
46	female	88,268	3.2	26	5	5.57	0.68	0.15	4	6.31	0.786475	7.29	7.87	64.47	64.1	1.76	0.67	0.41	0.65	0.36	0.32	5.69	47	320	1.45	5	0	681.24	6	7.01	5.1	1.84	24.55	4.18	2.79	5.76	78	3
22	male	131,522	9.04	12	2	7.24	0.26	0.35	9	3.19	0	9.04	4.32	67.82	99.86	5.67	0.43	0.09	0.52	0.96	0.28	2.62	2	268	4.47	4	0	186.14	6	1.83	6.31	1.43	28.82	9.95	10	2.79	47	10
48	female	77,675	5.21	28	12	7.22	1.35	0.5	3	1.28	3.63653	7.41	6.81	86.86	47.05	3.89	0.65	0.31	0.32	0.59	0.85	8.57	29	153	4.18	6	1	569.65	5	5.83	5.81	8.74	24.15	6.27	7.47	4.76	97	2
26	male	56,499	0.72	14	13	9.33	2.29	5.17	2	5.22	0.152941	6.12	3.75	67.65	60.8	1.38	0.41	0.46	0.6	0.73	0.72	7.49	9	271	1.25	7	1	30.65	9	4.73	5.3	4.52	21.09	5.4	2.19	9.93	21	7
43	female	145,479	2.45	17	21	8.11	2.47	1.52	8	2.77	3.154519	7.19	9.21	78.4	81.64	0.83	0.48	0.36	0.47	0.49	0.65	6.18	30	466	0.95	8	1	560.52	6	5.67	5.69	6.28	22.37	4.98	10	0.25	6	3
27	male	144,191	2.71	2	22	8.04	5.06	0.43	3	4.11	1.000174	3.36	8.49	51.05	39.8	3.23	0.58	0.34	0.19	0.34	0.24	12.12	40	278	2.31	9	0	41.57	0	4.2	3.43	4.91	23.13	10.7	6.01	0.59	95	4
20	female	8,408	3.01	34	15	6.3	2.51	0.18	9	0.64	0	5.45	1.78	59.52	55.69	2.46	0.58	0.43	0.39	0.91	0.64	7.6	41	258	2.92	0	0	286.11	2	6.42	7.02	6.33	27.52	4.58	4.21	0.59	52	7
26	female	64,034	1.57	8	2	7.47	2.9	2.92	4	6.38	0.596543	6.77	7.37	79.55	68.88	2.64	0.3	0.16	0.38	0.37	0.77	1.75	17	146	1.35	5	0	626.91	5	7.75	0.73	7.01	24.84	3.98	4.85	6.26	3	4
35	male	92,892	4.42	25	23	8.24	2.59	4.87	4	7.17	2.252339	7.61	4.85	54.49	79.76	3.26	0.43	0.19	0.35	0.22	0.83	9.26	14	217	0.63	0	0	441.1	7	6.8	5.69	3.25	25.32	8.79	6.42	4.4	62	8
52	male	72,602	5.85	28	13	5.32	1.86	5.17	10	3.42	2.531208	4.51	3.02	65.64	96.14	2.92	0.54	0.27	0.78	0.24	0.09	2.4	15	121	2.53	10	0	523.11	5	2.94	6.56	4.78	20.19	6.47	6.39	3.87	47	3
33	male	8,648	3.37	15	21	7.52	2.45	2.32	2	8.19	2.175473	0.31	4.18	100	58.9	1.3	0.5	0.14	0.31	0.23	0.76	7.04	32	48	3.31	0	0	1,187.8	2	6.96	5.27	8.61	23.4	5.75	3.88	2.93	11	9
28	male	77,338	8.06	4	17	9.94	0.84	1.47	9	4.79	5.191059	7.08	6.69	44.62	91.3	5.94	0.7	0.39	0.66	0.24	0.33	10.57	13	472	0.77	5	0	1,070.87	5	4.41	5.53	9.52	24.75	12.17	4.66	3.25	18	6
57	female	100,230	5.21	27	16	7.98	1.15	0.45	10	6.94	1.594034	8.5	6.78	84.53	79.49	2.82	0.4	0.32	0.16	0.81	0.24	8.41	4	229	2.24	8	0	960.53	6	4.13	5.2	6.6	21.5	8.95	4.99	3.17	24	10
30	female	79,206	0.67	19	18	8.08	2.88	0.25	6	7.05	2.946163	9.1	10	62.42	62.81	1.72	0.77	0.51	0.69	0.32	0.42	9.83	22	7	2.48	1	0	506.9	7	7.69	10	7.42	23.12	1.57	3.85	1.61	5	10
59	female	113,726	0.48	13	15	7.79	1.66	0.79	4	2.65	0	5.97	5.39	56.9	71.45	0	0.58	0.2	0.3	0.14	0.4	3.38	39	326	3.55	4	1	17.16	1	10	6.54	7.64	27.44	1.35	5.29	5.76	51	9
36	male	101,810	1.23	20	9	7.76	1.14	1.82	8	3.09	3.016203	6.47	5.67	68.66	75.8	3.01	0.16	0.25	0.5	0.16	0.06	2.13	25	30	0.34	5	0	162.83	5	4.81	6.49	3	30.48	3.72	2.27	0	5	9
37	female	10,601	3.53	35	3	8.96	0.24	1.53	9	4.78	1.878914	5.01	6.23	81.05	54.11	2.72	0.22	0.63	0.02	0.24	0.56	3.66	20	428	1.04	6	0	86.42	5	7.61	6.38	2.69	20.16	7.85	5.61	3.94	99	1
57	male	40,857	6.51	16	0	5.9	1.38	0.84	6	2.02	3.930119	7.22	5.35	67.34	63.05	5.9	0.74	0.4	0.17	0.8	0.48	11.75	19	219	0.63	0	1	961.76	3	0.17	3.56	6.1	20.42	6.68	6.36	3.67	86	8
41	male	36,352	5.05	31	16	10.37	0.97	1.82	8	6.63	4.193961	7.96	4.28	85.75	73.95	2.73	0.04	0.09	0.14	0.87	0.97	11.48	2	109	0.66	4	1	418.59	8	2.35	9.87	5.58	23.78	8.99	6.75	4.26	76	4
27	female	141,662	2.65	18	20	8.68	0.43	1.9	2	6.51	0.01225	5.62	8.59	66.41	59.42	2.74	0.42	0.09	0.87	0.73	0.65	2.63	15	472	0.82	10	0	443.83	9	4.71	0.88	6.81	22.75	9.72	3.52	5.68	79	10
57	female	8,118	9.92	37	5	6.51	0.35	6.79	10	2.76	6.424044	6.79	7.49	68.45	70.17	5.17	0.13	0.58	0.29	0.86	0.59	7.74	4	196	0.97	1	1	1,226.34	2	4.97	5.09	7.35	25	16.81	5.11	3.32	57	1
13	male	91,668	5.14	29	10	6.64	0.76	3.78	1	4.83	5.104548	4.43	6.51	38.23	38.47	3.28	0.33	0.37	0.14	0.77	0.42	6.16	41	323	1.15	9	0	525.4	0	4.46	5.26	7.42	27.94	10.89	6.6	4.4	86	3
37	male	69,542	3.52	24	3	5.74	1.94	0.05	4	3.43	0	5.51	7.18	77.69	79.36	1.25	0.87	0.18	0.81	0.53	0.8	13.91	23	447	0.35	8	1	621.29	10	1.3	5.23	1.54	25.06	8.05	5.97	3.87	6	9
19	female	24,868	0.44	2	11	8.62	1.58	2.93	2	4.52	0	7.08	6.57	51.26	73.27	0.67	0.1	0.25	0.23	0.29	0.88	6.3	40	192	1.83	8	1	419.26	8	5	5.69	2.93	28.83	4.49	3.76	4.31	99	9
36	male	11,159	1.64	17	3	8.86	2.22	0.29	5	4.41	2.706456	4.28	3.81	91.6	66.26	1.48	0.76	0.2	0.33	0.17	0.26	4.39	30	323	0.78	6	0	269.51	7	9.52	4.6	1.45	19.98	5.63	6.22	5.47	78	10
13	male	144,530	5.85	13	9	7.9	0.77	0.53	2	6.39	4.209673	3.17	6.44	100	67.71	4.77	0.53	0.39	0.52	0.55	0.47	1.26	47	481	0.26	1	1	1,221.33	8	6.8	3.7	8.91	31.35	8.77	6.75	5.78	36	7
56	female	90,573	2.09	13	8	5.86	0.42	1.53	5	3.41	0.09349	9.3	9.15	72.13	75.48	1.07	0.72	0.46	0.65	0.47	0.65	5.26	6	176	0.72	0	0	187.18	9	7.14	4.42	7.88	29.71	9.29	3.56	3.86	2	5
20	female	136,522	2.12	16	13	6.4	1.97	2.24	8	8.69	1.455433	4.68	8.15	72.6	79.94	3.48	0.7	0.1	0.43	0.57	0.56	5.5	43	76	2.33	4	1	141.5	5	5.16	2.48	5.41	24.84	8.06	4.3	4.74	18	7
36	female	15,786	6.46	5	17	6.57	2.69	0.27	3	6.75	1.565322	5.93	7.53	85.47	58.47	4.52	0.69	0.16	0.82	0.45	0.43	9.16	10	63	0.56	7	0	0.15	4	3.52	2.45	4.53	25.91	12.1	4.94	6.19	29	9
23	female	84,350	2.7	1	4	9.27	1.54	4.09	5	6.99	2.595029	6.33	5.38	62.33	48.41	2.7	0.66	0.27	0.18	0.25	0.18	10.43	29	428	2.64	2	1	210.8	5	2.99	3.06	4.13	28.62	13.84	6.32	5.83	65	5
29	male	117,936	0.58	1	1	9.69	2.48	1.85	5	4.59	2.307864	6.64	5.23	75.17	49.37	0	0.56	0.43	0.32	0.43	0.39	4.66	48	158	1.03	0	1	199.86	0	2.05	6.6	5.75	21.3	7.26	6.79	3.25	82	8
20	male	47,144	6.29	2	20	4.73	4.67	3.12	6	4.76	4.016212	7.47	5.87	95.83	69.27	4.82	0.64	0.23	0.4	0.61	0.58	16.53	40	243	1.5	9	0	603.84	1	4.85	3.36	8.49	19.9	9.94	5.95	6.47	62	10

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Mental Health Gaming Behavior Dataset

Synthetic dataset of gaming behavior and mental health indicators used to predict depression_score (0–10) through model chaining.

Tugas 4: Modeling Experiments — Kelompok 3

Dataset Summary

Size: 968,287 rows × 39 columns
Source: Kaggle (synthetic data)
File: gaming_mental_health.csv
Target: depression_score (0–10, continuous)

Disclaimer

This is a synthetic dataset generated for educational purposes. It does not represent real individuals and should not be used to draw conclusions about actual mental health conditions.

Key Columns

Column	Type	Description
`daily_gaming_hours`	float	Average hours spent gaming per day
`competitive_rank`	int	Competitive rank percentile (1–100)
`addiction_level`	float	Gaming addiction score (0–10)
`depression_score`	float	Depression score (0–10) — target variable

Use Case

This dataset is used with a Model Chaining architecture:

Imputer predicts addiction_level from daily_gaming_hours + competitive_rank
Scaled features fed to predictor (Linear Regression / Random Forest)
Output: depression_score prediction

Models

Trained models are available at: adeputr4/mental-health-gaming-predictor

Team

Name	Student ID
Ade Dwi Putra	25/574144/PPA/07237
Hikmah Nursidik	25/573877/PPA/07227
Muhammad Aziiz Pranaja	25/572885/PPA/07200

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