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
288,199	Female	27	1	36	0	< 1 Year	Yes	25,917	152	27	0
74,757	Male	61	1	11	0	1-2 Year	Yes	29,880	26	174	0
28,232	Female	23	1	21	1	< 1 Year	No	27,852	152	80	0
224,329	Male	33	1	3	0	1-2 Year	Yes	24,974	124	35	0
160,952	Female	22	1	8	1	< 1 Year	No	35,764	160	226	0
313,245	Female	35	1	46	1	1-2 Year	No	2,630	160	86	0
215,390	Female	53	1	28	0	1-2 Year	Yes	2,630	154	182	0
496,463	Male	40	1	46	1	1-2 Year	No	31,398	124	122	0
274,181	Female	65	1	28	1	1-2 Year	No	40,976	26	48	0
183,150	Male	30	1	35	0	< 1 Year	No	25,764	152	12	0
165,715	Male	59	1	28	0	1-2 Year	Yes	33,167	122	279	0
189,516	Female	39	1	8	1	1-2 Year	No	2,630	124	273	0
31,167	Female	24	1	43	1	< 1 Year	No	29,597	152	222	0
394,851	Male	73	1	28	1	1-2 Year	No	46,059	26	125	0
247,996	Female	21	1	45	0	< 1 Year	No	28,767	152	203	0
253,498	Female	58	1	8	0	1-2 Year	Yes	40,385	157	87	0
273,223	Male	45	1	36	0	1-2 Year	Yes	43,576	124	283	0
245,389	Female	41	1	28	0	1-2 Year	Yes	35,398	24	98	0
373,970	Male	50	1	8	0	1-2 Year	Yes	59,957	124	171	0
14,040	Female	23	1	47	1	< 1 Year	No	28,709	152	224	0
75,027	Female	39	1	46	1	1-2 Year	No	31,439	160	66	0
174,972	Female	21	1	41	0	< 1 Year	Yes	2,630	160	126	0
186,070	Female	43	1	28	0	1-2 Year	Yes	32,140	124	106	0
32,304	Male	25	1	28	0	< 1 Year	Yes	47,122	152	109	0
236,973	Male	49	1	28	0	1-2 Year	Yes	56,399	124	140	1
232,181	Male	35	1	46	0	1-2 Year	Yes	31,947	124	89	0
329,520	Female	26	1	28	0	< 1 Year	Yes	32,563	152	15	0
196,949	Female	25	1	28	1	< 1 Year	No	52,071	152	222	0
160,176	Female	25	1	41	1	< 1 Year	No	35,911	152	163	0
20,912	Male	46	1	23	0	1-2 Year	Yes	38,062	124	282	0
215,963	Male	21	1	12	0	< 1 Year	Yes	29,134	152	261	0
394,639	Female	27	1	28	1	< 1 Year	No	38,070	152	268	0
436,461	Female	22	1	33	1	< 1 Year	No	44,594	152	231	0
16,913	Female	60	1	28	1	1-2 Year	No	46,501	124	94	0
20,569	Male	34	1	33	0	1-2 Year	Yes	22,717	26	273	0
62,880	Female	60	1	16	1	1-2 Year	Yes	48,941	26	149	0
504,490	Male	55	1	41	0	1-2 Year	Yes	35,694	26	10	1
370,886	Male	46	1	28	0	1-2 Year	Yes	2,630	25	113	0
179,442	Female	23	1	28	1	< 1 Year	No	27,287	152	32	0
313,751	Male	23	1	46	1	< 1 Year	No	33,645	152	179	0
38,704	Male	29	1	24	0	1-2 Year	Yes	2,630	157	235	1
170,167	Male	57	1	28	0	1-2 Year	Yes	35,145	26	279	0
35,667	Male	49	1	32	1	1-2 Year	No	27,153	124	89	0
227,640	Female	35	1	28	1	1-2 Year	No	34,684	124	235	0
500,605	Female	24	1	12	1	< 1 Year	No	28,835	152	81	0
250,026	Female	28	1	15	0	< 1 Year	Yes	29,067	152	34	0
442,564	Male	42	1	28	1	1-2 Year	No	2,630	26	33	0
315,900	Female	22	1	8	1	< 1 Year	No	43,896	152	86	0
231,196	Male	40	1	8	0	1-2 Year	Yes	48,542	7	204	0
291,624	Male	23	1	47	1	< 1 Year	No	22,586	26	123	0
93,521	Female	22	1	4	1	< 1 Year	Yes	27,021	152	222	0
355,064	Female	23	1	22	1	< 1 Year	No	2,630	152	230	0
471,637	Female	31	1	37	1	< 1 Year	No	29,568	152	190	0
314,541	Female	28	1	28	1	1-2 Year	No	27,282	26	280	0
422,232	Male	43	1	28	0	1-2 Year	Yes	54,320	26	129	1
206,198	Male	56	1	28	0	1-2 Year	Yes	41,592	60	59	0
340,859	Female	36	1	48	0	1-2 Year	Yes	2,630	26	35	1
333,567	Female	25	1	34	0	< 1 Year	No	26,589	152	276	0
87,775	Female	71	1	24	1	1-2 Year	No	39,168	145	23	0
409,265	Male	43	1	28	1	1-2 Year	No	37,329	124	296	0
14,490	Female	25	1	41	1	< 1 Year	No	39,458	152	103	0
200,216	Male	39	1	11	0	1-2 Year	Yes	2,630	156	127	0
147,502	Male	21	1	8	1	< 1 Year	No	28,972	152	263	0
250,934	Male	40	1	28	0	1-2 Year	Yes	45,980	124	147	1
340,563	Male	36	1	28	0	1-2 Year	Yes	44,424	156	296	0
184,233	Male	53	1	36	1	1-2 Year	No	27,307	152	254	0
170,046	Female	24	1	29	1	< 1 Year	No	32,473	152	29	0
359,922	Male	43	1	28	0	1-2 Year	Yes	62,837	124	219	0
283,325	Female	55	1	30	0	< 1 Year	No	2,630	1	72	1
226,501	Male	34	1	3	0	1-2 Year	No	25,740	154	237	0
62,076	Female	32	1	26	0	< 1 Year	Yes	39,352	122	111	1
45,492	Male	50	1	41	0	1-2 Year	Yes	20,264	26	266	0
390,570	Male	50	1	28	1	1-2 Year	No	50,041	124	62	0
163,209	Male	27	1	6	1	< 1 Year	No	35,109	152	73	0
34,474	Male	57	1	3	0	1-2 Year	Yes	25,671	26	225	0
189,099	Male	50	1	27	1	1-2 Year	No	28,059	150	63	0
6,899	Female	43	1	15	1	1-2 Year	No	25,380	152	109	0
19,509	Male	76	1	28	0	1-2 Year	Yes	61,670	122	162	0
470,161	Female	55	1	28	0	1-2 Year	Yes	41,461	26	64	1
365,902	Male	27	1	17	1	< 1 Year	No	37,841	152	31	0
260,661	Male	58	1	27	1	1-2 Year	No	48,600	26	274	0
114,316	Female	45	1	28	0	1-2 Year	Yes	32,992	26	97	0
186,295	Male	46	1	18	1	< 1 Year	No	2,630	1	253	0
346,445	Male	77	1	28	0	> 2 Years	Yes	33,688	26	255	0
383,687	Male	23	1	8	1	< 1 Year	No	24,150	152	186	0
64,156	Female	43	1	15	0	1-2 Year	Yes	31,821	156	48	1
340,222	Female	22	1	29	1	< 1 Year	No	38,513	26	193	0
272,534	Female	26	1	41	1	< 1 Year	No	26,473	152	217	0
309,251	Male	56	1	35	0	1-2 Year	Yes	38,041	124	127	0
150,414	Male	28	1	28	0	1-2 Year	Yes	48,730	156	120	1
380,038	Female	26	1	9	0	< 1 Year	Yes	2,630	152	106	0
24,846	Male	25	1	28	1	< 1 Year	No	62,411	152	273	0
59,277	Female	37	1	28	0	1-2 Year	No	33,743	26	49	0
444,110	Male	24	1	29	1	< 1 Year	No	36,059	152	43	0
3,698	Male	49	1	38	0	1-2 Year	Yes	25,199	124	161	0
209,699	Male	32	1	28	0	< 1 Year	Yes	26,192	152	196	0
330,502	Male	24	1	15	0	< 1 Year	Yes	41,606	26	204	0
11,276	Female	23	1	46	0	< 1 Year	No	21,041	160	256	0
82,139	Female	25	1	50	1	< 1 Year	No	2,630	152	246	0
378,695	Male	47	1	50	0	1-2 Year	Yes	44,139	124	282	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.