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
70,828	Male	25	1	21	1	< 1 Year	No	31,181	152	192	0
235,757	Male	26	1	33	1	< 1 Year	No	43,492	152	162	0
147,553	Female	24	1	36	0	< 1 Year	No	2,630	152	17	0
133,982	Female	24	1	23	1	< 1 Year	No	2,630	152	257	0
165,773	Male	46	1	39	1	1-2 Year	No	32,480	124	83	0
316,254	Male	26	1	4	1	< 1 Year	No	22,040	152	266	0
428,763	Female	24	1	22	1	< 1 Year	No	29,809	152	58	0
366	Male	22	1	46	1	< 1 Year	No	25,037	152	220	0
485,041	Female	25	1	28	1	< 1 Year	No	58,141	152	86	0
231,577	Male	40	1	29	0	1-2 Year	Yes	24,781	124	261	0
368,511	Female	59	1	39	1	1-2 Year	Yes	31,521	26	225	0
121,478	Male	23	1	46	0	< 1 Year	Yes	40,262	152	212	1
238,068	Female	76	1	37	1	1-2 Year	No	37,704	124	249	0
411,831	Male	26	1	16	1	< 1 Year	No	25,466	152	217	0
228,572	Female	26	1	8	0	< 1 Year	Yes	46,263	152	178	1
201,282	Female	28	1	32	0	< 1 Year	Yes	29,965	152	292	0
301,108	Female	27	1	8	1	< 1 Year	No	59,868	152	148	0
142,030	Female	25	1	28	0	< 1 Year	No	57,232	152	238	0
127,800	Male	78	1	28	1	1-2 Year	No	32,101	26	199	0
341,022	Female	24	1	3	0	< 1 Year	Yes	43,067	152	85	1
488,480	Female	27	1	28	0	1-2 Year	Yes	35,925	124	125	1
284,046	Male	59	1	28	0	1-2 Year	Yes	66,478	26	271	0
488,180	Male	46	1	8	0	1-2 Year	Yes	31,561	124	108	1
18,104	Male	58	1	28	0	1-2 Year	Yes	41,244	26	114	1
470,837	Female	22	1	15	1	< 1 Year	No	27,484	152	112	0
285,514	Male	25	1	9	1	< 1 Year	No	38,391	152	85	0
75,533	Male	42	1	28	0	1-2 Year	Yes	49,116	124	171	0
124,668	Male	37	1	28	0	1-2 Year	Yes	23,873	26	281	0
379,247	Male	49	1	28	0	1-2 Year	Yes	42,644	26	55	0
119,887	Female	39	1	47	1	1-2 Year	No	29,798	124	127	0
69,762	Male	51	1	15	0	1-2 Year	Yes	32,937	122	21	0
315,082	Male	42	1	28	0	1-2 Year	Yes	2,630	124	217	0
102,550	Female	21	1	13	0	< 1 Year	Yes	27,029	160	224	0
191,793	Female	21	1	15	0	< 1 Year	No	27,756	160	279	0
171,980	Male	43	1	39	0	1-2 Year	Yes	35,092	156	283	0
355,934	Male	22	1	9	0	< 1 Year	Yes	27,102	152	211	0
58,558	Female	25	1	41	1	< 1 Year	No	24,018	152	218	0
294,802	Female	51	1	28	0	1-2 Year	Yes	51,568	46	17	0
202,594	Female	23	1	46	1	< 1 Year	No	27,857	152	25	0
116,781	Female	29	1	41	1	< 1 Year	No	22,578	152	165	0
360,125	Female	26	1	10	1	< 1 Year	No	22,237	152	236	0
282,732	Male	23	1	42	1	< 1 Year	No	2,630	160	108	0
389,223	Female	56	1	15	1	1-2 Year	No	28,657	14	17	0
33,266	Female	71	1	12	1	1-2 Year	No	2,630	124	71	0
47,317	Male	30	1	28	0	< 1 Year	Yes	31,616	156	190	0
200,716	Male	53	1	3	0	> 2 Years	Yes	40,649	124	271	0
18,748	Male	27	1	45	0	< 1 Year	Yes	24,855	152	225	0
1,885	Male	27	1	13	1	1-2 Year	No	22,232	124	29	0
20,678	Female	32	1	16	0	1-2 Year	Yes	29,380	124	148	1
126,403	Female	25	1	40	1	< 1 Year	No	27,986	152	101	0
99,101	Male	61	1	21	0	1-2 Year	Yes	29,282	124	271	0
274,088	Female	24	1	11	1	< 1 Year	No	31,415	152	288	0
298,343	Male	24	1	8	1	< 1 Year	No	32,971	152	145	0
195,382	Male	52	1	35	0	1-2 Year	No	35,068	124	33	0
426,122	Female	25	1	14	1	< 1 Year	No	22,161	152	132	0
504,702	Female	23	1	40	1	< 1 Year	No	28,896	152	121	0
131,060	Female	23	1	36	1	< 1 Year	No	31,941	152	238	0
428,158	Female	47	1	28	0	1-2 Year	Yes	39,300	124	80	1
260,788	Female	54	1	8	0	1-2 Year	No	37,205	124	32	0
210,319	Male	56	1	48	0	1-2 Year	Yes	2,630	103	67	0
138,322	Male	40	1	28	0	1-2 Year	Yes	36,297	124	61	0
122,859	Male	31	1	28	1	< 1 Year	No	50,434	152	236	0
203,545	Female	36	1	8	0	1-2 Year	Yes	35,819	124	196	0
98,473	Male	57	1	28	0	1-2 Year	Yes	35,308	26	269	1
223,376	Male	44	1	28	0	1-2 Year	No	35,124	26	41	0
373,991	Male	21	1	47	1	< 1 Year	No	28,872	160	278	0
220,780	Male	45	1	39	0	1-2 Year	Yes	26,769	26	282	1
136,687	Male	46	1	46	1	1-2 Year	No	64,486	124	202	0
2,434	Female	23	1	28	0	< 1 Year	No	36,494	152	49	0
292,776	Male	31	1	50	1	< 1 Year	No	30,891	152	269	0
216,508	Male	25	1	8	1	< 1 Year	No	73,969	152	195	0
265,349	Male	51	1	50	0	1-2 Year	Yes	34,910	124	174	0
143,907	Male	24	1	12	1	< 1 Year	No	21,762	152	222	0
246,833	Male	27	1	18	1	< 1 Year	No	24,570	152	29	0
85,312	Male	22	1	8	0	< 1 Year	Yes	39,779	152	204	0
201,527	Female	26	1	15	1	< 1 Year	No	32,464	152	199	0
154,637	Female	24	1	47	1	< 1 Year	Yes	2,630	26	44	0
45,313	Female	30	1	3	1	< 1 Year	No	33,511	152	157	0
457,232	Male	26	1	50	1	< 1 Year	No	44,969	152	226	0
356,754	Female	41	1	46	0	1-2 Year	Yes	44,876	26	76	0
422,298	Male	27	1	28	1	< 1 Year	No	31,133	152	286	0
263,493	Male	42	1	8	0	1-2 Year	Yes	2,630	124	181	1
166,221	Female	36	1	28	0	1-2 Year	Yes	31,090	124	59	0
87,630	Male	36	1	30	0	1-2 Year	Yes	28,129	124	130	0
93,848	Male	26	1	6	0	< 1 Year	Yes	2,630	156	195	0
68,630	Female	21	1	35	0	< 1 Year	Yes	28,107	160	249	0
9,125	Female	32	1	28	0	< 1 Year	Yes	26,394	122	122	1
195,600	Male	32	1	50	1	< 1 Year	No	46,721	152	93	0
141,518	Male	48	1	46	0	1-2 Year	Yes	29,476	26	279	0
231,994	Male	60	1	28	0	1-2 Year	Yes	30,238	26	150	1
181,841	Female	36	1	41	1	1-2 Year	No	25,768	152	66	0
147,692	Female	22	1	8	0	< 1 Year	Yes	67,817	152	157	0
155,875	Male	22	1	46	1	< 1 Year	Yes	39,026	152	81	0
473,838	Female	32	1	28	1	< 1 Year	No	23,897	152	182	0
325,934	Male	74	1	26	0	1-2 Year	Yes	46,392	26	42	1
246,180	Male	39	1	28	0	1-2 Year	Yes	52,250	122	192	0
478,151	Female	48	1	41	0	1-2 Year	Yes	37,801	124	274	1
248,862	Female	51	1	48	0	1-2 Year	Yes	2,630	26	128	1
213,008	Female	28	1	6	1	< 1 Year	No	19,616	152	223	0
54,233	Male	27	1	37	1	< 1 Year	No	2,630	26	186	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.