Datasets:

codesignal
/

imbalanced-data-practice

Dataset card Data Studio Files Files and versions Community

Split (2)

train · 382k rows

id int64	Gender string	Age int64	Driving_License int64	Region_Code float64	Previously_Insured int64	Vehicle_Age string	Vehicle_Damage string	Annual_Premium float64	Policy_Sales_Channel float64	Vintage int64	Response int64
170,775	Male	62	1	33	1	1-2 Year	Yes	25,543	154	225	0
375,325	Male	21	1	15	1	< 1 Year	No	35,557	152	42	0
354,892	Female	23	1	18	1	< 1 Year	No	28,170	152	198	0
166,858	Male	53	1	10	0	> 2 Years	Yes	25,374	26	223	0
102,593	Male	34	1	28	1	1-2 Year	Yes	38,038	124	232	0
164,487	Female	21	1	47	1	< 1 Year	Yes	37,501	152	48	1
313,203	Female	23	1	45	0	< 1 Year	Yes	19,264	152	294	1
156,803	Male	26	1	41	1	< 1 Year	No	28,556	152	161	0
93,039	Male	37	1	24	0	1-2 Year	Yes	2,630	124	143	0
320,400	Male	47	1	28	0	1-2 Year	No	2,630	26	104	0
97,220	Female	54	1	3	0	1-2 Year	Yes	2,630	156	247	0
94,457	Female	29	1	8	0	< 1 Year	No	2,630	1	200	0
189,286	Male	50	1	28	0	> 2 Years	Yes	46,722	26	56	1
279,145	Male	51	1	4	0	> 2 Years	Yes	2,630	124	87	0
266,378	Female	26	1	48	1	< 1 Year	No	2,630	152	19	0
342,468	Male	50	1	28	0	1-2 Year	Yes	53,020	124	150	1
131,610	Male	64	1	8	0	1-2 Year	Yes	49,585	124	161	0
125,065	Male	42	1	18	0	1-2 Year	Yes	38,513	124	130	0
307,615	Female	26	1	41	1	< 1 Year	No	35,960	152	36	0
338,026	Female	37	1	48	1	1-2 Year	No	2,630	152	240	0
376,542	Female	27	1	23	1	< 1 Year	No	37,801	160	200	0
205,713	Female	24	1	36	1	< 1 Year	No	31,666	152	154	0
161,890	Female	26	1	21	1	< 1 Year	No	144,004	152	74	0
379,115	Male	21	1	28	1	< 1 Year	Yes	2,630	160	139	0
146,542	Male	52	1	28	1	1-2 Year	No	41,548	122	234	0
74,831	Female	26	1	50	1	< 1 Year	No	34,402	152	128	0
378,725	Female	47	1	39	0	1-2 Year	Yes	30,779	26	111	0
122,559	Male	40	1	48	0	1-2 Year	Yes	2,630	124	143	0
327,774	Male	29	1	10	1	< 1 Year	No	16,783	152	17	0
416,209	Male	80	1	28	1	1-2 Year	No	40,543	26	198	0
266,872	Female	45	1	28	0	> 2 Years	Yes	48,780	124	14	0
334,806	Male	29	1	41	1	< 1 Year	No	49,769	152	127	0
412,511	Male	21	1	46	1	< 1 Year	No	26,298	160	295	0
284,825	Male	23	1	28	1	< 1 Year	No	52,391	152	256	0
76,144	Male	31	1	28	1	< 1 Year	No	41,302	152	82	0
463,587	Male	44	1	28	0	1-2 Year	Yes	37,329	124	143	1
151,387	Male	28	1	32	1	< 1 Year	No	36,254	151	12	0
134,312	Female	41	1	28	0	1-2 Year	Yes	42,290	124	243	1
326,553	Male	41	1	41	0	1-2 Year	Yes	40,464	124	154	1
176,277	Male	29	1	41	1	< 1 Year	No	53,204	152	57	0
230,810	Female	48	1	3	1	1-2 Year	No	2,630	26	125	0
325,865	Male	75	1	28	1	1-2 Year	No	68,554	124	82	0
119,859	Male	28	1	2	1	< 1 Year	No	39,633	152	110	0
261,340	Female	21	1	46	1	< 1 Year	No	40,741	160	240	0
18,503	Female	26	1	3	1	< 1 Year	No	24,182	152	192	0
477,540	Male	32	1	10	1	< 1 Year	No	35,607	152	66	0
507,225	Male	49	1	8	1	1-2 Year	No	2,630	124	287	0
21,739	Male	44	1	36	0	1-2 Year	Yes	26,578	124	46	0
328,267	Male	49	1	8	0	1-2 Year	Yes	37,887	124	20	1
310,437	Female	22	1	6	0	< 1 Year	Yes	24,747	152	99	0
162,707	Male	54	1	28	1	1-2 Year	No	47,178	124	178	0
360,024	Female	24	1	29	1	< 1 Year	No	27,078	152	143	0
204,023	Male	67	1	8	0	1-2 Year	Yes	52,982	7	90	0
406,163	Male	38	1	41	1	1-2 Year	No	33,507	124	202	0
217,695	Male	56	1	46	0	1-2 Year	Yes	2,630	157	291	1
106,120	Male	25	1	12	1	< 1 Year	No	2,630	160	37	0
326,270	Female	70	1	31	0	1-2 Year	No	2,630	26	272	0
489,558	Female	40	1	12	0	1-2 Year	Yes	33,731	124	187	1
244,462	Female	23	1	28	1	< 1 Year	No	45,665	152	57	0
399,542	Female	25	1	14	1	< 1 Year	No	34,783	152	97	0
257,893	Male	21	1	46	0	< 1 Year	Yes	21,688	160	142	0
47,897	Female	25	1	8	0	< 1 Year	Yes	40,191	152	185	0
283,514	Female	23	1	31	1	< 1 Year	No	2,630	152	265	0
319,663	Male	38	1	6	1	1-2 Year	No	27,604	152	169	0
150,633	Female	24	1	31	0	< 1 Year	No	2,630	152	40	0
22,556	Male	52	1	28	1	1-2 Year	Yes	43,525	26	189	0
250,420	Male	27	1	50	1	< 1 Year	No	37,884	152	266	0
412,917	Male	52	1	17	1	1-2 Year	No	23,434	124	58	0
266,445	Male	27	1	29	1	< 1 Year	No	31,851	152	106	0
322,399	Male	62	1	28	0	1-2 Year	Yes	52,484	26	71	0
374,818	Female	45	1	0	0	1-2 Year	No	2,630	26	258	0
108,206	Male	39	1	8	0	1-2 Year	No	43,046	26	119	0
363,849	Female	28	1	28	0	< 1 Year	Yes	44,613	152	110	1
27,153	Female	66	1	28	1	1-2 Year	No	29,658	122	18	0
225,792	Male	60	1	50	0	1-2 Year	Yes	2,630	25	96	1
143,016	Female	66	1	28	1	1-2 Year	No	46,787	24	167	0
238,060	Female	22	1	13	1	< 1 Year	No	18,407	152	84	0
507,481	Female	24	1	29	1	< 1 Year	No	31,258	152	272	0
7,103	Male	21	1	15	1	< 1 Year	No	25,004	152	295	0
157,632	Male	42	1	28	0	1-2 Year	Yes	29,499	124	83	0
180,520	Female	38	1	28	1	1-2 Year	No	52,917	124	264	0
53,671	Female	52	1	34	0	1-2 Year	Yes	39,349	152	31	0
350,442	Male	48	1	3	0	1-2 Year	Yes	30,269	124	103	0
58,649	Female	45	1	35	0	1-2 Year	Yes	21,908	124	101	1
455,877	Male	25	1	28	1	< 1 Year	No	41,940	152	237	0
287,462	Female	41	1	3	0	1-2 Year	Yes	24,442	157	225	0
24,513	Male	21	1	12	1	< 1 Year	No	26,864	160	294	0
362,604	Male	22	1	25	1	< 1 Year	No	30,812	152	173	0
200,994	Male	37	1	36	0	1-2 Year	No	36,914	124	82	0
297,822	Male	20	1	7	1	< 1 Year	Yes	32,531	160	89	0
381,381	Female	40	1	24	0	1-2 Year	Yes	2,630	157	82	1
175,714	Female	23	1	5	0	< 1 Year	Yes	27,552	152	86	1
352,367	Female	27	1	28	1	< 1 Year	No	25,889	152	159	0
228,825	Male	60	1	50	0	1-2 Year	Yes	32,315	8	195	0
465,655	Male	46	1	28	1	1-2 Year	No	58,362	124	37	0
24,663	Female	54	1	46	1	1-2 Year	No	2,630	26	205	0
187,707	Male	27	1	30	0	< 1 Year	Yes	42,888	152	270	1
250,194	Female	39	1	33	0	1-2 Year	Yes	29,684	26	243	1
46,049	Male	23	1	28	1	< 1 Year	No	49,886	152	276	0
21,831	Male	22	1	12	0	< 1 Year	Yes	31,187	152	222	0

Subsets and Splits

No saved queries yet

Save your SQL queries to embed, download, and access them later. Queries will appear here once saved.