Datasets:

Qamro
/

Prediction-Smartphone-Addiction-Submission-in-Kaggle

id int64	age float64	daily_screen_time_hours float64	social_media_hours float64	gaming_hours float64	work_study_hours float64	sleep_hours float64	notifications_per_day float64	app_opens_per_day float64	weekend_screen_time float64	gender string	stress_level string	academic_work_impact string	addicted_label int64
0	24	null	1.83	1.59	2.11	7.46	122	38	8.63	Male	Medium	No	1
1	19	5.97	1.08	null	3.03	8.22	76	19	null	Female	Medium	No	0
2	18	5.09	null	null	null	6.25	134	60	7.47	Female	Low	Yes	0
3	21	6.42	1.26	1.42	3.36	8.85	112	94	8.66	Other	Low	null	1
4	26	11.2	1.87	2.81	1.95	5.25	null	null	13.39	Female	Medium	No	1
5	28	7.37	1.78	1.56	3.38	8.33	210	40	7.85	Male	High	No	0
6	18	4.24	1.61	1.14	0.91	5.09	220	68	7.46	Other	Low	Yes	0
7	25	10.79	3.92	2.48	3.61	7.2	195	null	13.45	Other	High	No	1
8	26	8.42	2.57	3.41	1.9	6.64	99	27	8.35	Other	Medium	Yes	0
9	20	8.74	1.4	2.43	2.11	8.57	null	109	10.68	Other	High	null	1
10	34	6.25	2.49	1.78	1.34	7.95	124	151	9.72	Other	High	Yes	1
11	30	7.31	3.79	1.14	1.92	6.39	182	126	8.63	Female	Low	Yes	1
12	29	11.27	1.5	3.61	null	6.81	31	177	10.46	Other	Medium	Yes	1
13	27	7.67	3.32	0.67	3.17	5.66	239	90	7.88	Female	Low	No	1
14	22	2.56	1.84	0.09	0.49	5.01	49	100	3.46	Female	High	Yes	0
15	29	11.44	5.07	2.43	0.92	6.1	59	23	11.65	Male	Medium	No	1
16	32	7.61	1.53	2.17	null	8.21	119	130	9.86	Female	Medium	Yes	1
17	35	3.37	1.15	null	1.03	8.75	142	163	5.23	Female	Medium	Yes	0
18	19	4.53	2.42	0.53	0.96	7.48	123	null	7.96	Male	Low	Yes	1
19	19	7.37	5.34	0.36	1.54	4.92	234	138	10.47	Female	High	Yes	1
20	24	7.44	null	2.62	1.53	5.63	242	179	7.42	Male	Medium	No	0
21	null	11.24	null	0.45	4.39	6.79	199	49	11.92	Male	Low	Yes	1
22	31	11.08	4.75	0.42	1.39	7.95	112	136	11.93	Male	High	No	1
23	31	11.57	1.89	2.98	4.55	7.12	166	55	12.55	Other	High	Yes	1
24	25	null	null	0.98	0.85	6.92	null	155	null	Female	High	No	1
25	27	11.77	3.66	2.97	2	7.26	213	111	13.33	Male	High	null	1
26	null	6.68	1.89	1.61	2.24	5.47	194	103	7.54	Male	High	null	1
27	34	5.6	null	1.02	1.97	4.6	184	47	6.87	Other	Medium	No	1
28	23	10.29	4.7	0.56	null	8.32	39	130	11.46	Other	High	No	1
29	32	11.78	2.76	2.84	0.59	7.54	191	null	12.67	Male	Low	No	1
30	23	11.23	4.6	3.74	1.28	8.77	170	179	12.8	Male	Medium	Yes	1
31	23	8.73	1.32	0.92	2.47	4.73	132	104	7.85	Other	Low	Yes	0
32	22	10.2	2.79	3.08	3.08	8.94	225	50	13.15	Other	Low	Yes	1
33	20	9.87	3.03	null	3.69	6.95	null	null	null	Male	Low	No	1
34	32	9.11	5.21	0.54	2.44	8.69	186	125	10.73	Female	Medium	Yes	1
35	28	10.76	4.34	2.1	2.96	null	204	44	11.83	Female	Low	Yes	1
36	19	4.92	0.67	2.36	1.49	null	236	118	8.77	Other	Medium	null	0
37	20	6.08	1.97	0.52	2.72	null	113	123	7.35	Male	Medium	null	0
38	34	10.17	null	null	null	8.78	195	null	10.58	Female	High	No	1
39	32	2.49	1.2	0.3	0.62	8.7	209	179	3.83	Male	Medium	Yes	0
40	21	null	0.72	1.9	2.88	5.79	70	123	null	Male	null	No	0
41	23	10.09	4.81	1.92	null	8.87	159	140	null	Male	Low	Yes	1
42	31	10.23	1.61	3.2	1.61	5.83	61	null	9.96	Other	High	No	1
43	26	11.01	2.77	2.88	1.99	8.02	135	77	13.35	null	High	Yes	1
44	26	5.39	null	0.45	2.87	5.53	168	null	5.64	Male	High	No	0
45	27	11.03	4.49	1.26	0.69	8.6	235	155	11.41	Male	Medium	Yes	1
46	26	12.21	0.71	0.47	5.87	5.01	null	63	13.4	Male	Low	No	1
47	23	8.28	4.07	0.11	3.09	5.88	155	16	11.6	Other	High	No	1
48	22	null	2.03	0.32	4.65	6.5	null	111	9.36	Female	High	Yes	1
49	21	11.32	4.03	2.07	3.71	7.93	48	124	10.9	Female	null	Yes	1
50	22	11.5	2.62	3.55	2.06	6.66	34	33	15.16	Male	High	Yes	1
51	null	null	0.27	null	null	6.84	180	39	6.06	Female	Low	Yes	0
52	23	5.31	2.15	1.34	1.38	5.45	186	74	8.2	Other	Low	No	1
53	35	12.02	4.33	2.82	4.19	7.55	248	38	14.02	Female	High	Yes	1
54	35	9.91	4.81	1.8	1.59	6.91	null	161	10.64	Male	Low	No	1
55	31	5.21	1.94	0.81	2.14	6.01	142	140	2.45	Other	Medium	Yes	1
56	20	10.81	0.74	3.08	5.73	8.42	202	155	12.2	Male	Medium	Yes	1
57	22	4.04	1.34	null	0.65	7.36	84	175	8.07	Other	High	Yes	0
58	24	7.96	1.38	1.91	4.24	7.55	243	146	13.96	Female	Medium	No	1
59	25	null	null	1.38	4.31	6.14	68	84	10.46	Male	Low	Yes	0
60	30	8.74	0.03	1.13	5.65	6.67	150	162	8.76	Male	High	No	0
61	22	null	2.53	1.08	1.66	5.03	198	56	null	Male	Medium	Yes	1
62	23	8.31	4.09	1.85	1.94	6.32	33	18	11.98	Other	High	Yes	1
63	35	5.73	1.42	1.33	2.65	5.24	234	113	6.93	Other	Medium	Yes	0
64	31	3.05	1.01	0.48	1.19	7.41	96	139	5.93	Female	Medium	Yes	1
65	19	5.35	2.77	0.57	1.74	6.3	225	20	5.34	Male	High	No	0
66	34	1.24	0.85	0.14	0.14	5.75	93	46	7.42	Female	Low	Yes	1
67	32	5.97	1.31	0.97	3.26	6.13	47	36	7.67	Female	Medium	Yes	0
68	25	8.69	0.73	2.8	4.04	8.08	234	78	12.73	Other	High	Yes	1
69	34	10.11	4.23	0.83	2.89	5.9	195	101	null	Female	Low	No	1
70	29	8.71	3.34	2.03	2.34	8.23	248	160	9.08	Female	Medium	Yes	1
71	23	null	1.85	0.59	1.57	8.98	null	121	7.92	Other	High	null	0
72	23	3.97	1	1.09	1.36	5.28	112	130	6.32	null	High	null	0
73	19	4.04	0.29	null	2.88	null	242	27	null	Male	High	Yes	0
74	31	8.02	3.15	1.92	1.81	8.29	209	126	9.14	Other	High	No	0
75	24	10.01	3.63	0.45	5.53	4.76	null	154	10.74	Female	High	No	1
76	null	6.7	0.38	1.59	3.85	7.87	45	130	7.52	Female	Low	No	1
77	29	3.35	0.91	0.65	1.62	5.79	224	18	null	Female	High	No	0
78	28	5.93	0.66	0.65	4.12	5.79	144	31	7.65	Other	Medium	No	0
79	31	4.28	2.48	1.08	0.45	5.83	115	116	6.68	Male	High	No	1
80	29	7.76	2.96	0.38	3.82	7.75	62	78	10.54	Female	High	Yes	1
81	25	3.38	null	0.56	1.16	7.62	220	104	null	Female	Medium	Yes	0
82	19	10.14	3.33	2.54	2.94	7.72	228	175	9.96	Male	Low	No	1
83	31	7.8	4.24	0.34	2.12	8.15	232	171	10.21	Male	Medium	No	1
84	33	10.2	null	0.24	4.35	6.9	237	82	12.09	Female	High	No	1
85	22	7.03	0.8	2.03	3.48	7.74	198	164	8.39	Male	High	Yes	1
86	35	null	5.08	0.73	null	7.3	null	55	13.79	Other	Low	Yes	1
87	18	11.57	3.82	3.07	3.83	8.26	120	177	13.21	Other	Low	No	1
88	32	9.42	4.1	null	2.29	4.83	null	null	11.55	Other	null	No	1
89	27	null	3.08	null	3.25	6.12	33	25	9.32	Other	Low	No	1
90	32	4.69	2.05	0.01	0.98	8.24	null	null	null	Male	null	No	0
91	28	11.57	4.06	2.3	3.97	8.43	215	163	12.97	Other	High	Yes	1
92	19	11.02	3.56	null	4.13	6.44	142	101	12.44	Other	Medium	No	1
93	27	5.29	1.47	1.9	1.48	6.56	196	71	5.4	Female	Medium	No	0
94	26	7.79	1.99	2.1	3.28	7.59	225	177	null	Male	High	Yes	1
95	24	8.99	2.61	3.84	1.59	6.28	194	40	8.97	Other	High	Yes	1
96	35	3.25	1.4	0.88	0.58	7	null	null	4.64	Male	High	null	0
97	30	7.09	3.37	0.04	2.97	7.66	40	39	6.9	Male	Medium	No	1
98	20	3.51	0.92	0.42	1.97	7.71	111	162	8.17	Female	Low	No	0
99	32	5.25	2.06	1.74	null	8.13	95	165	7.38	Male	Medium	No	0

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📱 Prediction Smartphone Addiction - Competition Submission in Kaggle

This dataset contains the data and/or prediction results used for a Kaggle competition related to smartphone addiction prediction.

The project focuses on analyzing smartphone usage and related behavioral or demographic features to build machine learning models capable of predicting smartphone addiction levels.

🎯 Project Overview

Smartphone usage has become an important part of everyday life. Excessive smartphone use can be associated with changes in behavior, sleep patterns, productivity, and general well-being.

The goal of this project is to use data analysis and machine learning techniques to identify patterns related to smartphone addiction and make predictions based on the available features.

This repository contains files related to a Kaggle competition submission.

📂 Dataset Contents

The repository may contain files such as:

Training dataset
Test dataset
Kaggle submission file
Prediction results
Processed datasets
Data analysis notebooks

Typical files may include:

train.csv
test.csv
sample submission.csv
submission.csv

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