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
130,419	Female	23	1	29	1	< 1 Year	No	30,641	152	220	0
89,018	Female	26	1	28	0	< 1 Year	No	36,086	152	112	0
471,212	Female	60	1	28	1	1-2 Year	No	45,167	26	56	0
86,230	Male	49	1	28	0	1-2 Year	Yes	48,471	26	138	0
34,432	Male	23	1	46	1	< 1 Year	No	33,079	152	273	0
26,694	Female	58	1	28	1	1-2 Year	No	68,199	124	265	0
139,709	Male	23	1	37	0	< 1 Year	Yes	36,030	151	21	1
374,751	Male	30	1	35	1	< 1 Year	No	26,238	152	35	0
123,793	Female	44	1	41	1	1-2 Year	No	29,479	26	177	0
345,210	Male	22	1	50	1	< 1 Year	No	22,698	160	61	0
308,463	Female	42	1	8	0	1-2 Year	Yes	35,417	26	123	0
393,360	Male	33	1	28	0	< 1 Year	Yes	38,417	26	238	1
153,507	Female	20	1	40	1	< 1 Year	No	2,630	160	176	0
386,360	Male	21	1	8	1	< 1 Year	No	47,740	160	12	0
333,659	Male	68	1	45	1	1-2 Year	Yes	2,630	124	279	0
91,858	Female	45	1	48	0	1-2 Year	Yes	2,630	124	267	0
346,186	Male	25	1	15	1	1-2 Year	No	28,869	154	247	0
456,731	Male	46	1	28	1	1-2 Year	No	47,127	26	94	0
153,777	Female	62	1	46	1	1-2 Year	No	25,841	124	60	0
172,854	Male	49	1	4	1	1-2 Year	No	35,019	46	66	0
176,982	Male	42	1	39	1	1-2 Year	No	43,003	124	57	0
338,117	Male	22	1	13	1	< 1 Year	No	25,906	152	130	0
351,416	Female	22	1	36	0	< 1 Year	Yes	27,684	152	55	0
170,084	Female	39	1	8	1	1-2 Year	No	36,599	124	270	0
478,407	Male	29	1	10	1	< 1 Year	No	40,582	152	184	0
65,284	Female	27	1	11	1	< 1 Year	No	28,126	152	81	0
338,460	Male	23	1	29	1	< 1 Year	No	28,243	152	210	0
182,711	Male	25	1	18	0	< 1 Year	No	31,752	152	156	0
64,039	Male	29	1	18	1	< 1 Year	No	37,196	152	123	0
339,518	Female	23	1	29	1	< 1 Year	No	32,788	152	49	0
282,949	Female	33	1	11	0	1-2 Year	Yes	2,630	157	277	1
320,703	Female	74	1	28	0	1-2 Year	Yes	44,181	26	182	0
1,258	Male	44	1	28	0	> 2 Years	Yes	42,522	26	174	0
4,504	Female	30	1	49	1	< 1 Year	No	22,181	26	45	0
166,098	Female	28	1	28	1	< 1 Year	No	39,768	152	283	0
187,523	Male	21	1	47	1	< 1 Year	No	2,630	160	85	0
118,170	Female	64	1	28	0	1-2 Year	No	35,745	26	286	0
315,026	Male	31	1	28	1	< 1 Year	No	44,713	151	238	0
279,972	Female	32	1	35	0	1-2 Year	Yes	37,622	26	69	0
266,193	Female	31	1	8	1	< 1 Year	No	37,509	154	248	0
111,934	Male	54	1	28	0	1-2 Year	Yes	32,026	122	11	1
13,477	Female	24	1	10	0	< 1 Year	Yes	29,909	151	13	0
464,506	Female	41	1	8	0	1-2 Year	Yes	41,556	124	227	1
14,152	Female	24	1	14	1	< 1 Year	No	31,526	152	101	0
328,534	Female	78	1	28	0	1-2 Year	Yes	30,747	26	158	0
259,964	Female	78	1	28	0	1-2 Year	Yes	26,365	26	27	0
328,080	Male	71	1	7	0	1-2 Year	Yes	26,243	26	206	0
360,944	Male	59	1	29	1	1-2 Year	No	22,618	26	93	0
171,304	Female	20	1	22	1	< 1 Year	Yes	2,630	160	75	0
459,895	Female	49	1	28	0	1-2 Year	Yes	51,022	26	230	1
108,645	Male	20	1	8	0	< 1 Year	Yes	31,713	160	107	0
20,915	Male	64	1	28	1	1-2 Year	No	40,730	124	25	0
222,058	Male	54	1	41	0	1-2 Year	Yes	32,195	26	228	0
279,868	Male	50	1	28	0	1-2 Year	Yes	24,899	26	199	0
160,156	Female	30	1	28	1	1-2 Year	No	50,353	157	12	0
212,090	Female	24	1	30	0	< 1 Year	Yes	28,615	152	60	1
420,399	Female	75	1	28	1	1-2 Year	No	35,873	124	190	0
283,282	Female	41	1	15	0	1-2 Year	Yes	26,821	26	220	1
338,483	Male	29	1	30	0	1-2 Year	Yes	2,630	156	97	0
502,491	Male	38	1	28	0	1-2 Year	Yes	2,630	154	245	1
471,745	Male	25	1	10	1	< 1 Year	No	37,401	152	249	0
144,377	Male	44	1	37	0	1-2 Year	Yes	2,630	26	194	1
314,267	Male	70	1	35	1	1-2 Year	No	2,630	124	110	0
1,015	Male	27	1	50	1	< 1 Year	No	21,844	152	17	0
74,109	Male	60	1	28	0	1-2 Year	Yes	47,044	26	14	0
179,287	Male	27	1	28	0	< 1 Year	Yes	40,478	26	159	0
150,877	Male	49	1	28	0	1-2 Year	Yes	28,349	26	80	1
34,907	Female	21	1	25	0	< 1 Year	Yes	29,806	152	244	0
393,183	Male	55	1	28	0	1-2 Year	Yes	52,187	26	155	1
434,684	Male	39	1	8	0	1-2 Year	Yes	45,336	124	248	1
106,353	Male	62	1	28	0	> 2 Years	Yes	46,379	26	291	0
204,948	Male	32	1	28	1	< 1 Year	No	2,630	160	110	0
202,988	Male	38	1	28	0	1-2 Year	Yes	2,630	122	31	1
348,155	Female	71	1	28	0	> 2 Years	Yes	44,747	122	16	0
448,101	Male	31	1	35	1	< 1 Year	No	30,329	152	168	0
255,516	Male	49	1	28	0	1-2 Year	No	36,282	124	175	1
178,348	Male	23	1	15	0	< 1 Year	Yes	32,888	152	94	0
262,596	Female	74	1	15	1	1-2 Year	No	42,916	14	39	0
58,594	Male	34	1	31	0	1-2 Year	Yes	2,630	154	196	0
289,033	Male	40	1	23	0	1-2 Year	Yes	2,630	156	66	0
236,205	Female	30	1	28	1	1-2 Year	No	2,630	157	91	0
13,252	Female	59	1	7	0	1-2 Year	Yes	2,630	124	287	0
199,395	Female	28	1	29	1	< 1 Year	No	35,227	152	273	0
201,445	Female	83	1	28	1	1-2 Year	No	56,442	26	87	0
95,450	Female	47	1	8	0	1-2 Year	Yes	38,470	30	71	0
236,974	Male	56	1	46	0	1-2 Year	Yes	25,124	154	17	0
8,587	Male	76	0	27	0	1-2 Year	Yes	24,173	26	69	0
23,326	Male	24	1	6	0	< 1 Year	Yes	24,686	152	177	1
179,811	Male	42	1	41	1	1-2 Year	No	37,681	124	149	0
116,529	Male	23	1	8	1	< 1 Year	No	32,171	160	21	0
285,083	Male	24	1	16	1	< 1 Year	No	32,462	160	31	0
259,298	Male	37	1	28	0	1-2 Year	Yes	50,438	124	171	0
134,496	Female	66	1	11	0	1-2 Year	Yes	21,796	163	133	0
447,262	Female	25	1	30	1	< 1 Year	No	49,878	152	105	0
134,597	Female	23	1	29	1	< 1 Year	No	48,182	152	132	0
330,534	Male	23	1	32	1	< 1 Year	No	28,762	152	247	0
128,822	Female	27	1	22	1	< 1 Year	No	35,884	152	73	0
25,691	Male	36	1	15	0	1-2 Year	Yes	29,250	124	295	0
109,343	Male	49	1	7	0	> 2 Years	Yes	38,216	26	288	1
14,718	Female	25	1	11	1	< 1 Year	No	38,067	152	105	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.