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
149,291	Female	54	1	28	0	1-2 Year	Yes	39,186	55	142	0
310,201	Male	60	1	48	0	1-2 Year	Yes	2,630	26	32	1
62,924	Male	79	1	41	0	> 2 Years	Yes	41,601	26	202	0
282,510	Female	25	1	41	1	< 1 Year	No	28,015	152	79	0
3,421	Female	49	1	8	0	1-2 Year	Yes	2,630	26	260	0
5,463	Male	25	1	29	1	< 1 Year	No	39,767	152	166	0
250,769	Female	39	1	31	0	1-2 Year	Yes	2,630	122	90	0
395,633	Female	31	1	42	0	1-2 Year	Yes	25,492	26	296	1
434,647	Male	22	1	41	1	< 1 Year	No	38,799	152	228	0
107,607	Male	40	1	28	1	1-2 Year	No	39,172	60	123	0
314,121	Male	42	1	28	0	1-2 Year	Yes	45,023	154	175	0
170,657	Male	23	1	47	0	< 1 Year	Yes	33,467	152	156	0
437,349	Male	21	1	36	1	< 1 Year	No	36,345	152	106	0
318,219	Female	45	1	28	0	1-2 Year	Yes	42,295	55	144	0
274,675	Female	36	1	45	0	1-2 Year	Yes	28,960	157	251	0
176,212	Female	24	1	10	1	< 1 Year	No	2,630	152	268	0
250,430	Male	23	1	45	1	< 1 Year	No	19,233	152	83	0
438,722	Male	59	1	28	1	1-2 Year	No	53,526	124	231	0
105,562	Female	23	1	47	0	< 1 Year	No	30,351	152	52	0
232,007	Male	60	1	28	0	1-2 Year	No	24,774	124	277	0
482,124	Female	31	1	15	1	< 1 Year	No	41,147	152	231	0
491,338	Male	31	1	8	0	1-2 Year	Yes	36,871	26	272	1
91,569	Male	42	1	28	0	> 2 Years	Yes	2,630	26	186	0
246,232	Male	54	1	48	1	1-2 Year	No	2,630	26	47	0
293,236	Female	55	1	28	0	1-2 Year	Yes	51,966	125	225	0
466,090	Male	24	1	28	1	< 1 Year	No	26,544	152	83	0
338,663	Male	22	1	11	1	< 1 Year	No	29,940	152	239	0
379,229	Female	25	1	15	1	< 1 Year	No	32,523	152	245	0
17,418	Female	22	1	46	1	< 1 Year	No	18,970	152	63	0
253,965	Male	39	1	7	0	1-2 Year	Yes	2,630	156	193	0
332,622	Female	38	1	36	0	1-2 Year	Yes	2,630	157	166	1
90,117	Female	48	1	28	0	1-2 Year	Yes	43,446	124	10	0
314,322	Male	27	1	12	0	< 1 Year	Yes	33,324	152	110	0
174,722	Male	47	1	28	0	1-2 Year	Yes	46,337	26	208	1
138,630	Female	24	1	28	1	< 1 Year	No	35,359	152	64	0
354,288	Female	24	1	28	1	< 1 Year	No	40,228	152	96	0
313,230	Male	72	1	50	0	1-2 Year	Yes	34,580	25	47	0
446,317	Female	29	1	28	0	< 1 Year	Yes	23,040	154	57	1
463,423	Male	21	1	30	1	< 1 Year	No	33,882	152	82	0
340,681	Female	79	1	8	1	1-2 Year	No	35,921	124	145	0
443,117	Female	30	1	21	1	< 1 Year	No	27,444	152	232	0
429,710	Female	25	1	50	1	< 1 Year	No	50,459	152	207	0
461,728	Male	30	1	36	0	1-2 Year	Yes	34,130	154	98	1
224,129	Female	26	1	28	1	< 1 Year	No	46,711	152	122	0
30,061	Male	68	1	41	1	1-2 Year	No	40,927	136	131	0
420,695	Female	31	1	28	0	< 1 Year	Yes	38,586	26	12	1
361,720	Male	43	1	0	0	1-2 Year	Yes	2,630	26	276	0
493,041	Male	48	1	23	1	1-2 Year	No	32,482	124	141	0
31,666	Male	49	1	30	1	1-2 Year	No	2,630	152	265	0
337,845	Male	32	1	17	1	< 1 Year	No	32,682	152	194	0
28,070	Female	42	1	28	1	1-2 Year	No	34,102	124	47	0
100,575	Male	49	1	28	0	> 2 Years	Yes	54,007	26	184	1
13,924	Female	23	1	37	0	< 1 Year	No	2,630	152	226	0
280,491	Male	43	1	28	0	1-2 Year	Yes	37,219	124	240	0
314,025	Female	31	1	3	0	1-2 Year	Yes	2,630	124	282	1
377,865	Female	22	1	28	0	< 1 Year	Yes	2,630	152	224	0
112,804	Female	30	1	28	0	1-2 Year	Yes	2,630	158	262	1
285,742	Male	42	1	28	0	1-2 Year	Yes	47,753	163	185	0
35,247	Male	31	1	28	0	1-2 Year	Yes	33,567	124	213	0
206,280	Female	36	1	46	0	1-2 Year	Yes	2,630	124	130	1
348,168	Female	46	1	28	1	1-2 Year	No	38,099	26	173	0
11,443	Male	28	1	37	1	< 1 Year	No	33,002	152	54	0
39,881	Male	25	1	29	1	< 1 Year	No	34,263	152	22	0
248,451	Male	38	1	46	1	1-2 Year	No	22,295	26	63	0
444,989	Male	48	1	46	1	1-2 Year	No	29,082	26	73	0
21,279	Female	27	1	15	1	< 1 Year	No	20,875	152	226	0
41,933	Male	47	1	0	0	1-2 Year	Yes	2,630	124	97	0
113,097	Male	23	1	29	1	< 1 Year	No	38,687	152	53	0
164,818	Female	26	1	15	0	< 1 Year	No	33,126	152	123	0
246,704	Female	53	1	30	1	1-2 Year	No	29,651	152	157	0
160,893	Female	37	1	29	0	1-2 Year	Yes	2,630	109	110	0
132,535	Male	71	1	8	1	1-2 Year	Yes	30,356	26	201	0
230,073	Male	46	1	29	0	1-2 Year	No	2,630	55	67	0
45,248	Female	20	1	15	0	< 1 Year	Yes	35,388	160	260	0
392,608	Female	25	1	46	1	< 1 Year	No	23,440	152	144	0
174,041	Male	21	1	33	1	< 1 Year	No	28,574	152	298	0
157,131	Male	24	1	50	1	< 1 Year	No	22,318	152	98	0
328,465	Male	26	1	6	1	< 1 Year	No	26,217	152	213	0
475,686	Male	24	1	28	1	< 1 Year	No	36,025	152	293	0
3,209	Female	42	1	41	0	1-2 Year	Yes	40,740	26	159	1
243,412	Male	26	1	15	1	< 1 Year	No	39,047	152	240	0
502,388	Female	32	1	3	0	< 1 Year	Yes	23,101	124	273	1
297,671	Female	20	1	8	1	< 1 Year	No	37,513	160	12	0
257,915	Male	24	1	8	1	< 1 Year	No	29,163	26	250	0
336,786	Male	22	1	22	1	< 1 Year	No	34,066	152	144	0
86,959	Female	24	1	26	0	< 1 Year	No	2,630	152	205	0
120,755	Female	21	1	3	1	< 1 Year	No	19,313	160	185	0
401,987	Male	23	1	28	1	< 1 Year	No	35,456	152	181	0
53,520	Female	24	1	17	1	< 1 Year	No	2,630	152	133	0
77,033	Female	37	1	29	1	1-2 Year	No	2,630	26	84	0
189,086	Male	27	1	30	0	< 1 Year	Yes	2,630	156	246	0
271,934	Male	39	1	28	0	1-2 Year	Yes	30,376	26	269	0
343,511	Male	25	1	26	1	< 1 Year	No	26,449	152	57	0
366,731	Female	56	1	28	1	1-2 Year	No	39,303	26	129	0
288,929	Female	38	1	28	1	1-2 Year	No	22,844	26	231	0
9,476	Male	26	1	32	0	< 1 Year	Yes	28,210	152	296	0
124,428	Male	22	1	46	1	< 1 Year	No	36,191	160	59	0
344,520	Male	70	1	8	0	1-2 Year	Yes	2,630	124	293	0
57,352	Female	21	1	36	0	< 1 Year	Yes	33,647	152	154	0
53,413	Female	43	1	20	1	1-2 Year	No	2,630	124	141	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.