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
253,287	Female	22	1	46	0	< 1 Year	Yes	41,533	152	165	0
406,951	Female	24	1	8	1	< 1 Year	No	38,012	152	102	0
367,905	Male	61	1	24	1	1-2 Year	Yes	33,458	124	284	0
462,532	Female	45	1	28	0	1-2 Year	Yes	94,557	26	93	1
207	Female	23	1	46	1	< 1 Year	No	18,682	152	57	0
334,854	Female	22	1	30	1	< 1 Year	No	29,721	152	265	0
367,087	Female	76	1	46	0	1-2 Year	Yes	36,140	124	130	0
39,278	Male	23	1	11	1	< 1 Year	No	35,698	152	293	0
121,463	Female	29	1	39	1	< 1 Year	No	32,620	152	204	0
306,403	Female	28	1	13	1	< 1 Year	No	23,475	152	200	0
41,773	Male	27	1	48	0	< 1 Year	Yes	2,630	124	269	0
88,680	Female	32	1	0	0	1-2 Year	No	2,630	60	50	0
305,571	Male	40	1	10	1	1-2 Year	No	25,626	124	90	0
172,521	Male	35	1	41	1	1-2 Year	No	22,899	152	144	0
24,586	Male	50	1	28	0	1-2 Year	Yes	48,764	26	122	0
57,451	Male	51	1	51	1	1-2 Year	Yes	30,405	124	283	0
277,851	Female	25	1	18	1	< 1 Year	No	33,098	152	218	0
366,189	Female	22	1	12	1	< 1 Year	No	29,848	152	209	0
285,724	Female	23	1	46	0	< 1 Year	Yes	32,168	152	213	0
399,792	Female	24	1	6	1	< 1 Year	No	49,509	152	259	0
81,115	Male	61	1	20	0	1-2 Year	Yes	2,630	124	84	0
84,701	Female	64	1	9	0	1-2 Year	Yes	2,630	156	150	0
137,746	Male	29	1	41	1	< 1 Year	No	33,048	152	195	0
73,482	Male	33	1	28	1	1-2 Year	Yes	24,507	156	23	0
346,046	Male	69	1	28	0	1-2 Year	Yes	38,178	26	165	0
131,216	Male	38	1	45	0	1-2 Year	Yes	21,358	30	155	0
242,855	Female	22	1	13	0	< 1 Year	Yes	28,917	152	101	0
167,518	Male	45	1	50	0	1-2 Year	Yes	34,187	26	148	0
128,712	Male	51	1	28	0	> 2 Years	Yes	50,728	124	273	0
398,955	Male	23	1	18	1	< 1 Year	No	22,783	152	119	0
194,929	Female	25	1	3	1	< 1 Year	No	27,633	152	181	0
146,220	Male	23	1	41	1	< 1 Year	No	27,888	152	78	0
200,582	Male	56	1	46	0	1-2 Year	No	24,337	124	89	0
109,661	Male	29	1	28	1	1-2 Year	No	35,000	124	105	0
297,627	Female	26	1	50	1	< 1 Year	No	21,482	152	140	0
161,545	Male	48	1	3	1	1-2 Year	No	2,630	124	271	0
125,855	Male	23	1	36	0	< 1 Year	Yes	37,104	152	236	0
333,296	Female	26	1	15	1	< 1 Year	No	33,966	152	103	0
308,476	Male	22	1	49	1	< 1 Year	Yes	26,710	152	222	0
487,220	Female	22	1	3	1	< 1 Year	No	22,168	152	10	0
303,874	Male	20	1	25	1	< 1 Year	No	16,453	160	10	0
85,515	Female	36	1	46	0	1-2 Year	Yes	28,114	124	82	0
210,975	Male	20	1	46	1	< 1 Year	No	30,293	160	199	0
33,216	Male	70	1	28	0	1-2 Year	Yes	34,226	25	290	1
367,207	Female	43	1	3	1	1-2 Year	No	26,269	124	198	0
125,010	Female	40	1	48	1	1-2 Year	No	2,630	15	177	0
498,887	Male	31	1	28	1	1-2 Year	No	48,896	139	187	0
89,270	Male	31	1	28	0	< 1 Year	Yes	19,375	152	254	1
488,126	Male	61	1	28	1	1-2 Year	No	36,633	26	207	0
252,157	Male	45	1	50	1	1-2 Year	No	32,835	8	69	0
388,376	Female	66	1	28	1	1-2 Year	No	51,999	26	18	0
273,613	Male	43	1	5	0	1-2 Year	Yes	29,991	124	136	0
248,306	Male	53	1	46	0	1-2 Year	Yes	40,121	26	220	0
149,170	Male	40	1	7	1	1-2 Year	No	36,979	156	48	0
52,687	Male	25	1	28	1	< 1 Year	No	29,356	152	48	0
278,177	Female	25	1	39	0	< 1 Year	Yes	2,630	156	152	0
9,170	Male	46	1	28	1	1-2 Year	No	31,249	25	258	0
106,664	Male	62	1	36	0	1-2 Year	Yes	37,637	124	57	0
387,008	Female	22	1	6	1	< 1 Year	No	29,084	152	261	0
417,308	Male	45	1	28	0	1-2 Year	Yes	48,412	26	102	1
336,249	Male	35	1	8	0	1-2 Year	Yes	29,344	26	42	0
483,601	Male	24	1	37	1	< 1 Year	No	44,567	152	89	0
474,660	Female	24	1	46	1	< 1 Year	No	23,711	152	42	0
156,040	Male	59	1	28	0	1-2 Year	Yes	41,524	26	210	0
273,922	Male	40	1	0	1	1-2 Year	No	2,630	55	53	0
35,869	Male	45	1	48	1	1-2 Year	No	2,630	124	13	0
245,830	Female	42	1	36	1	1-2 Year	No	30,743	152	31	0
203,846	Female	57	1	28	0	1-2 Year	Yes	42,500	26	83	0
55,273	Female	63	1	28	0	1-2 Year	Yes	56,113	55	195	0
201,163	Male	24	1	45	1	< 1 Year	No	24,312	152	55	0
186,889	Male	49	1	28	0	> 2 Years	Yes	2,630	26	39	1
70,860	Male	45	1	28	0	1-2 Year	Yes	2,630	26	234	0
217,194	Female	47	1	28	0	1-2 Year	Yes	48,775	124	40	1
31,859	Male	29	1	3	1	< 1 Year	No	45,873	152	79	0
293,410	Male	40	1	28	0	1-2 Year	Yes	39,642	124	226	0
335,304	Male	38	1	28	0	1-2 Year	Yes	2,630	124	59	0
161,977	Female	25	1	28	1	< 1 Year	No	36,768	152	219	0
221,948	Female	28	1	34	0	1-2 Year	Yes	2,630	157	286	0
349,721	Female	55	1	35	1	1-2 Year	No	31,430	124	138	0
162,379	Male	76	1	28	0	1-2 Year	Yes	30,352	26	185	0
9,743	Male	39	1	28	0	1-2 Year	Yes	30,097	122	46	0
308,178	Female	23	1	15	1	< 1 Year	No	28,781	160	105	0
448,154	Female	71	1	28	1	1-2 Year	No	65,463	26	260	0
263,365	Female	28	1	16	1	< 1 Year	No	28,531	152	119	0
284,787	Male	25	1	8	1	< 1 Year	No	31,100	152	125	0
166,888	Female	21	1	47	0	< 1 Year	Yes	34,276	160	26	0
279,660	Female	67	1	28	1	1-2 Year	No	64,700	122	276	0
75,648	Male	55	1	45	1	1-2 Year	No	25,393	26	236	0
346,312	Male	76	1	6	1	1-2 Year	No	49,143	26	254	0
299,607	Female	27	1	13	1	< 1 Year	No	2,630	160	234	0
351,733	Male	34	1	45	1	1-2 Year	No	2,630	152	95	0
453,644	Female	37	1	14	1	1-2 Year	No	35,151	152	157	0
65,938	Male	24	1	37	0	< 1 Year	Yes	2,630	152	39	0
396,019	Female	23	1	28	1	< 1 Year	No	61,689	152	265	0
410,640	Female	24	1	28	1	< 1 Year	No	33,809	152	228	0
483,598	Female	45	1	30	0	1-2 Year	Yes	2,630	156	230	1
70,283	Female	25	1	35	1	< 1 Year	No	35,028	152	134	0
245,769	Female	73	1	46	0	1-2 Year	Yes	27,239	26	246	0
215,894	Male	28	1	41	1	< 1 Year	No	26,802	152	286	0
48,808	Male	25	1	14	0	< 1 Year	Yes	19,930	26	92	1

Subsets and Splits

No saved queries yet

Save your SQL queries to embed, download, and access them later. Queries will appear here once saved.