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
424,449	Male	44	1	7	0	1-2 Year	Yes	2,630	26	80	1
77,747	Female	28	1	21	1	< 1 Year	No	31,824	151	163	0
498,391	Female	43	1	28	0	1-2 Year	Yes	41,525	124	153	1
253,086	Male	37	1	8	1	1-2 Year	No	26,400	124	165	0
55,841	Male	58	1	48	1	1-2 Year	No	2,630	103	188	0
43,274	Male	73	1	23	1	1-2 Year	No	31,980	30	263	0
323,104	Male	29	1	8	0	< 1 Year	Yes	44,391	163	30	0
285,801	Female	24	1	46	0	< 1 Year	Yes	25,222	152	163	0
28,443	Female	46	1	28	0	1-2 Year	Yes	39,823	26	150	1
504,605	Female	25	1	28	1	< 1 Year	No	30,640	152	10	0
196,661	Male	23	1	18	1	< 1 Year	No	34,050	152	265	0
248,389	Male	28	1	15	0	1-2 Year	No	2,630	14	276	0
473,878	Female	41	1	28	0	1-2 Year	Yes	46,615	26	19	1
492,789	Female	75	1	28	1	1-2 Year	No	28,110	61	210	0
292,210	Male	27	1	36	0	< 1 Year	No	2,630	152	185	0
328,500	Female	39	1	28	0	1-2 Year	Yes	2,630	156	108	1
94,248	Female	64	1	28	1	1-2 Year	No	28,182	122	159	0
507,291	Male	23	1	41	1	< 1 Year	No	32,073	152	215	0
452,389	Male	51	1	28	0	1-2 Year	Yes	44,658	26	242	1
129,846	Male	39	1	37	0	1-2 Year	Yes	39,720	124	242	0
55,382	Male	52	1	14	0	1-2 Year	Yes	2,630	26	225	0
400,716	Female	44	1	28	0	1-2 Year	Yes	52,548	122	119	1
329,458	Female	49	1	11	1	1-2 Year	No	2,630	120	54	0
7,478	Male	44	1	28	0	1-2 Year	Yes	31,025	124	76	0
476,309	Male	33	1	28	0	1-2 Year	Yes	36,791	156	219	1
109,356	Male	48	1	46	0	1-2 Year	Yes	22,219	11	132	0
255,916	Female	22	1	3	1	< 1 Year	No	35,185	152	251	0
296,799	Female	66	1	28	0	1-2 Year	Yes	31,607	122	130	0
128,679	Male	66	0	28	0	> 2 Years	Yes	41,200	122	243	0
33,305	Female	44	1	8	0	1-2 Year	No	24,100	26	228	0
211,004	Female	41	1	8	1	1-2 Year	No	2,630	26	127	0
336,916	Male	32	1	28	0	1-2 Year	Yes	35,606	26	199	0
235,350	Female	24	1	11	1	< 1 Year	No	19,875	152	41	0
460,120	Female	35	1	29	0	1-2 Year	Yes	38,977	163	44	1
22,313	Male	52	1	29	0	> 2 Years	Yes	2,630	124	28	0
303,982	Female	21	1	28	0	< 1 Year	Yes	40,597	152	95	1
98,931	Male	47	1	8	0	1-2 Year	Yes	56,258	7	214	0
399,185	Male	35	1	50	0	1-2 Year	Yes	2,630	124	216	1
169,961	Male	25	1	23	1	< 1 Year	No	25,397	152	145	0
46,615	Male	24	1	11	1	< 1 Year	No	29,442	152	293	0
310,010	Male	30	1	28	1	< 1 Year	No	46,186	152	277	0
212,373	Female	43	1	32	1	1-2 Year	No	2,630	26	286	0
333,103	Male	21	1	30	0	1-2 Year	No	23,494	154	83	0
180,148	Male	39	1	28	0	1-2 Year	Yes	51,575	124	30	0
71,552	Male	31	1	30	1	< 1 Year	No	36,016	152	92	0
174,989	Male	27	1	48	0	1-2 Year	Yes	2,630	156	211	0
269,574	Male	34	1	46	1	1-2 Year	No	27,295	152	179	0
209,929	Male	46	1	28	0	1-2 Year	Yes	51,080	156	159	0
484,134	Male	25	1	28	1	< 1 Year	No	105,006	152	60	0
43,549	Male	45	1	6	0	1-2 Year	Yes	29,998	124	129	0
54,217	Male	43	1	28	0	1-2 Year	Yes	30,176	26	107	0
398,776	Male	27	1	41	0	1-2 Year	Yes	2,630	157	74	1
267,647	Female	51	1	28	0	> 2 Years	Yes	2,630	124	268	0
264,378	Male	23	1	47	0	< 1 Year	No	30,642	152	66	0
241,479	Male	21	1	8	1	< 1 Year	No	41,056	160	145	0
406,655	Male	55	1	11	0	1-2 Year	Yes	2,630	26	208	1
158,629	Female	66	1	38	0	1-2 Year	Yes	2,630	156	64	0
158,754	Female	34	1	27	0	1-2 Year	Yes	21,936	152	277	0
281,874	Female	23	1	24	1	< 1 Year	No	2,630	151	102	0
239,589	Female	25	1	37	0	< 1 Year	Yes	28,044	152	245	0
307,495	Female	22	1	8	0	< 1 Year	Yes	44,007	152	208	0
312,012	Female	50	1	28	0	1-2 Year	Yes	2,630	124	154	0
457,989	Male	24	1	22	1	< 1 Year	No	2,630	152	230	0
58,855	Female	25	1	10	1	< 1 Year	No	33,980	152	262	0
33,520	Male	59	1	46	0	1-2 Year	Yes	32,681	11	199	0
66,326	Female	21	1	13	1	< 1 Year	No	23,990	152	103	0
352,155	Female	25	1	50	0	< 1 Year	No	41,123	152	271	0
488,118	Female	24	1	3	1	< 1 Year	No	38,788	152	198	0
82,370	Male	54	1	48	0	1-2 Year	Yes	2,630	15	91	0
207,190	Female	27	1	0	1	< 1 Year	No	2,630	152	284	0
213,231	Female	33	1	28	1	1-2 Year	No	79,895	32	219	0
330,283	Male	49	1	47	1	1-2 Year	Yes	38,932	26	226	0
28,061	Male	27	1	28	0	< 1 Year	Yes	26,889	152	157	0
215,358	Male	31	1	28	0	< 1 Year	Yes	27,280	152	204	1
326,171	Female	32	1	36	0	< 1 Year	Yes	32,719	26	19	0
32,104	Female	25	1	8	1	< 1 Year	No	49,317	152	294	0
371,488	Male	28	1	29	1	< 1 Year	No	31,465	152	264	0
42,021	Male	21	1	24	0	< 1 Year	Yes	23,968	152	214	0
357,618	Male	50	1	28	1	1-2 Year	No	2,630	124	179	0
249,850	Male	38	1	28	1	1-2 Year	No	50,768	124	41	0
215,312	Male	20	1	3	0	< 1 Year	Yes	30,661	160	212	0
321,502	Female	26	1	29	1	< 1 Year	No	38,047	152	178	0
12,014	Male	53	1	28	0	> 2 Years	Yes	49,078	26	96	1
249,437	Female	49	1	33	0	1-2 Year	Yes	47,868	26	270	0
8,454	Male	50	1	8	0	1-2 Year	Yes	42,049	124	206	0
253,054	Male	73	1	28	0	1-2 Year	Yes	32,091	54	78	0
466,970	Male	22	1	32	1	< 1 Year	No	24,955	152	279	0
12,021	Female	24	1	46	1	< 1 Year	No	32,790	152	260	0
195,434	Male	46	1	33	1	1-2 Year	No	25,324	124	246	0
351,081	Male	30	1	30	0	1-2 Year	Yes	2,630	156	230	0
390,333	Male	26	1	10	1	< 1 Year	No	31,333	152	34	0
272,377	Female	59	1	30	0	1-2 Year	Yes	48,127	26	198	0
264,679	Female	53	1	28	0	1-2 Year	Yes	43,268	156	141	0
432,284	Female	26	1	41	1	< 1 Year	No	35,957	152	247	0
341,598	Female	74	1	8	0	1-2 Year	Yes	49,881	26	161	0
219,829	Male	27	1	41	1	< 1 Year	No	36,701	152	283	0
29,995	Male	23	1	21	1	< 1 Year	No	2,630	152	272	0
421,902	Male	25	1	21	1	< 1 Year	No	53,885	152	18	0
199,201	Female	23	1	21	1	< 1 Year	No	27,596	152	23	0
178,181	Male	26	1	9	0	< 1 Year	Yes	35,228	152	189	0

Subsets and Splits

No community queries yet

The top public SQL queries from the community will appear here once available.