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
361,296	Female	28	1	28	1	< 1 Year	No	41,967	26	65	0
255,205	Female	46	1	28	0	1-2 Year	Yes	44,110	124	94	0
307,260	Male	24	1	18	1	< 1 Year	No	2,630	152	284	0
344,780	Female	28	1	11	1	< 1 Year	No	27,710	152	221	0
297,362	Male	43	1	50	0	1-2 Year	No	57,238	124	154	0
105,386	Female	62	1	15	1	1-2 Year	No	2,630	26	221	0
192,633	Female	28	1	18	1	< 1 Year	No	24,053	152	238	0
335,546	Female	56	1	28	0	1-2 Year	Yes	46,322	157	117	1
346,888	Male	46	1	28	0	1-2 Year	Yes	50,882	26	237	1
116,654	Female	28	1	28	0	< 1 Year	Yes	28,114	124	286	0
134,770	Female	32	1	23	1	< 1 Year	No	20,035	156	142	0
262,805	Female	44	1	41	0	1-2 Year	Yes	36,223	26	118	1
422,879	Female	20	1	28	1	< 1 Year	No	57,361	160	107	0
33,712	Male	47	1	50	0	1-2 Year	Yes	25,259	124	32	1
384,979	Female	28	1	11	1	< 1 Year	No	35,869	152	73	0
194,788	Female	78	1	28	0	1-2 Year	Yes	2,630	122	89	1
274,648	Male	43	1	28	0	1-2 Year	No	31,899	124	79	0
162,335	Female	22	1	37	0	< 1 Year	Yes	30,988	152	116	0
22,940	Female	44	1	28	1	1-2 Year	Yes	59,333	26	148	0
426,342	Female	35	1	33	1	1-2 Year	No	32,781	26	258	0
371,574	Female	28	1	46	0	< 1 Year	No	47,689	152	93	0
168,599	Female	26	1	28	1	< 1 Year	No	38,850	152	227	0
217,518	Male	32	1	28	0	< 1 Year	Yes	31,431	26	229	0
62,501	Male	23	1	8	1	< 1 Year	No	26,886	152	289	0
243,644	Female	26	1	35	1	< 1 Year	No	25,416	152	115	0
242,948	Female	45	1	47	1	1-2 Year	No	29,850	26	110	0
91,322	Female	29	1	28	1	1-2 Year	Yes	2,630	156	129	0
3,655	Male	23	1	28	0	< 1 Year	Yes	46,833	124	128	0
339,246	Female	26	1	47	1	< 1 Year	No	18,257	152	135	0
151,440	Male	52	1	28	1	1-2 Year	Yes	28,926	124	60	0
60,652	Female	32	1	46	1	< 1 Year	No	36,588	152	255	0
475,071	Male	36	1	24	0	1-2 Year	Yes	35,003	163	139	1
132,200	Male	24	1	2	0	< 1 Year	Yes	29,786	152	11	0
466,415	Female	42	1	13	0	1-2 Year	Yes	22,585	4	213	1
302,725	Female	75	1	48	0	1-2 Year	No	2,630	15	212	0
409,014	Female	46	1	29	1	1-2 Year	No	2,630	26	105	0
271,627	Male	51	1	28	0	1-2 Year	Yes	59,821	26	285	0
24,229	Female	25	1	15	0	< 1 Year	No	27,353	152	218	0
440,956	Female	29	1	50	1	< 1 Year	No	19,909	152	32	0
95,289	Female	42	1	28	0	1-2 Year	Yes	48,440	26	199	1
260,673	Male	35	1	8	1	1-2 Year	No	31,926	152	259	0
135,072	Female	45	1	22	1	1-2 Year	No	2,630	124	98	0
164,286	Female	25	1	30	1	< 1 Year	No	36,872	152	172	0
137,401	Male	22	1	3	1	< 1 Year	No	25,867	152	283	0
71,882	Male	23	1	7	1	< 1 Year	No	37,168	152	199	0
106,860	Female	23	1	13	0	< 1 Year	No	29,728	122	193	0
67,715	Male	23	1	15	1	< 1 Year	No	34,860	152	28	0
127,237	Female	23	1	30	1	< 1 Year	No	28,011	152	154	0
362,273	Male	49	1	33	0	1-2 Year	Yes	32,909	26	84	1
28,248	Male	23	1	50	1	< 1 Year	No	44,944	152	271	0
283,050	Male	56	1	46	1	1-2 Year	Yes	28,872	30	55	0
31,875	Male	20	1	6	0	< 1 Year	Yes	2,630	160	113	0
68,493	Male	29	1	41	0	1-2 Year	No	25,484	157	215	0
6,442	Male	42	1	19	0	1-2 Year	No	29,341	26	90	0
369,325	Male	28	1	28	1	< 1 Year	No	100,171	152	124	0
365,942	Female	27	1	28	1	< 1 Year	No	28,949	152	24	0
66,993	Female	41	1	28	0	1-2 Year	Yes	67,739	26	81	1
221,978	Male	62	1	9	1	1-2 Year	No	28,788	124	287	0
475,196	Male	26	1	30	1	< 1 Year	No	2,630	152	278	0
428,794	Female	44	1	28	0	1-2 Year	Yes	38,304	124	254	1
243,784	Female	24	1	14	1	< 1 Year	No	25,943	152	40	0
200,914	Male	33	1	3	1	< 1 Year	No	33,380	152	250	0
498,061	Female	24	1	10	1	< 1 Year	No	23,037	152	64	0
225,241	Male	47	1	28	0	1-2 Year	Yes	41,625	154	34	0
125,797	Female	57	1	21	0	1-2 Year	Yes	29,422	152	40	0
176,370	Female	28	1	27	1	< 1 Year	No	2,630	160	44	0
11,578	Male	22	1	46	1	< 1 Year	No	27,624	152	200	0
283,915	Male	60	1	46	0	1-2 Year	Yes	34,883	11	62	0
96,158	Male	44	1	28	1	1-2 Year	No	54,609	26	39	0
20,782	Male	42	1	28	0	1-2 Year	Yes	45,340	124	166	0
438,162	Female	38	1	27	0	1-2 Year	Yes	27,338	31	108	1
252,714	Female	67	1	28	0	1-2 Year	Yes	2,630	124	123	0
381,638	Female	26	1	28	1	< 1 Year	No	41,675	152	33	0
242,849	Female	68	0	0	0	1-2 Year	Yes	2,630	26	55	0
71,874	Male	25	1	38	0	1-2 Year	Yes	2,630	156	283	0
495,373	Female	37	1	9	1	1-2 Year	No	2,630	152	111	0
51,493	Male	54	1	41	1	1-2 Year	No	33,094	26	298	0
343,316	Female	41	1	28	0	1-2 Year	Yes	56,767	13	38	0
404,254	Female	24	1	15	1	< 1 Year	No	30,053	160	185	0
460,730	Female	27	1	8	1	< 1 Year	No	36,931	152	238	0
215,864	Female	33	1	8	1	1-2 Year	No	83,666	124	230	0
105,889	Female	64	1	48	0	> 2 Years	Yes	2,630	15	93	0
281,110	Male	27	1	11	1	< 1 Year	No	36,092	152	91	0
101,697	Female	25	1	30	1	< 1 Year	No	31,329	152	38	0
504,802	Female	20	1	32	1	< 1 Year	No	30,926	160	273	0
245,357	Male	54	1	28	0	1-2 Year	Yes	68,071	124	63	0
412,345	Female	38	1	8	1	1-2 Year	No	59,842	26	243	0
273,022	Female	29	1	35	1	< 1 Year	No	37,122	152	13	0
269,357	Female	23	1	3	0	< 1 Year	No	25,882	152	23	0
98,862	Female	23	1	36	1	< 1 Year	No	29,830	152	99	0
114,414	Female	20	1	36	1	< 1 Year	No	27,638	160	264	0
493,614	Female	38	1	28	0	1-2 Year	Yes	34,335	26	62	1
112,828	Female	31	1	41	1	< 1 Year	No	37,714	152	125	0
283,102	Female	29	1	41	1	< 1 Year	No	38,617	152	135	0
327,112	Male	33	1	39	1	1-2 Year	No	38,262	122	157	0
108,198	Female	23	1	28	1	< 1 Year	No	24,550	160	188	0
232,288	Female	23	1	39	1	< 1 Year	No	41,302	152	299	0
83,308	Male	23	1	11	1	< 1 Year	No	20,935	152	24	0
369,149	Female	78	1	12	0	1-2 Year	Yes	21,121	124	249	0
449,915	Female	77	1	28	1	1-2 Year	No	48,755	13	160	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.