Datasets:

codesignal
/

imbalanced-data-practice

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
167,647	Male	22	1	7	1	< 1 Year	No	2,630	152	16	0
17,163	Male	42	1	28	0	1-2 Year	Yes	43,327	26	135	0
32,023	Female	66	1	33	0	1-2 Year	Yes	35,841	124	253	0
87,447	Female	22	1	33	0	< 1 Year	No	27,645	152	69	0
501,933	Male	28	1	46	1	< 1 Year	No	29,023	152	211	0
295,775	Female	25	1	25	1	< 1 Year	No	27,954	152	23	0
71,711	Male	51	1	8	0	1-2 Year	Yes	2,630	26	209	0
331,781	Male	38	1	28	1	1-2 Year	No	2,630	26	51	0
290,704	Female	45	1	28	0	1-2 Year	Yes	55,873	124	262	0
344,792	Male	42	1	28	0	1-2 Year	Yes	27,801	122	217	1
31,460	Male	25	1	8	1	< 1 Year	No	63,623	152	73	0
389,010	Female	26	1	8	1	< 1 Year	No	47,665	152	12	0
441,774	Male	33	1	28	0	< 1 Year	Yes	25,434	122	165	1
56,976	Male	25	1	28	1	< 1 Year	No	40,044	152	34	0
441,575	Male	42	1	28	0	1-2 Year	Yes	38,347	124	263	1
453,047	Male	45	1	41	0	1-2 Year	Yes	33,303	26	155	1
184,321	Female	76	1	28	0	> 2 Years	No	2,630	158	151	0
30,715	Male	23	1	28	1	< 1 Year	No	30,649	152	176	0
6,798	Male	49	1	28	0	1-2 Year	Yes	35,887	26	177	0
288,067	Male	22	1	39	1	< 1 Year	No	28,333	152	240	0
44,332	Female	22	1	13	1	< 1 Year	No	26,066	152	44	0
472,735	Male	38	1	46	0	1-2 Year	Yes	2,630	157	256	1
319,884	Male	52	1	28	0	1-2 Year	Yes	40,987	26	254	0
411,459	Female	24	1	14	1	< 1 Year	No	38,566	152	279	0
99,311	Male	21	1	36	0	< 1 Year	Yes	23,450	152	293	0
360,266	Female	22	1	3	0	< 1 Year	Yes	2,630	124	252	0
250,234	Female	23	1	36	1	< 1 Year	No	25,410	152	42	0
350,394	Female	48	1	36	1	1-2 Year	No	45,493	124	270	0
142,916	Male	35	1	28	0	1-2 Year	Yes	30,238	124	271	0
103,117	Female	26	1	43	1	< 1 Year	No	2,630	152	30	0
186,037	Male	23	1	41	0	< 1 Year	Yes	2,630	156	247	0
86,788	Male	22	1	33	1	< 1 Year	No	29,537	152	143	0
88,327	Male	36	1	28	1	1-2 Year	No	45,967	26	248	0
435,850	Female	21	1	36	1	< 1 Year	No	40,320	160	69	0
320,539	Female	35	1	45	0	1-2 Year	Yes	24,145	124	267	0
295,732	Female	44	1	28	1	1-2 Year	No	32,827	26	109	0
167,171	Male	60	1	28	0	1-2 Year	Yes	40,293	26	68	1
317,813	Female	24	1	46	1	< 1 Year	No	24,096	152	255	0
48,952	Male	57	1	28	1	1-2 Year	No	53,124	124	38	0
366,070	Male	56	1	48	0	> 2 Years	Yes	2,630	26	224	0
222,479	Male	73	1	39	1	1-2 Year	Yes	27,807	26	236	0
210,876	Male	54	1	28	0	1-2 Year	Yes	32,534	124	74	1
51,556	Male	42	1	28	1	1-2 Year	No	26,171	124	202	0
408,376	Male	50	1	11	1	1-2 Year	No	41,593	122	21	0
187,427	Female	72	1	41	0	1-2 Year	Yes	44,851	152	287	0
373,877	Female	58	1	28	0	1-2 Year	Yes	66,455	124	161	0
26,244	Male	23	1	28	0	1-2 Year	Yes	2,630	158	92	0
186,429	Male	41	1	11	0	1-2 Year	Yes	31,153	124	181	1
6,468	Male	27	1	30	0	1-2 Year	Yes	23,251	124	255	0
303,609	Male	22	1	8	0	< 1 Year	No	65,167	152	14	0
54,431	Female	48	1	28	0	1-2 Year	No	75,958	26	275	0
264,880	Female	22	1	8	1	< 1 Year	No	36,467	152	22	0
97,857	Female	28	1	41	1	< 1 Year	No	52,959	160	209	0
488,976	Male	48	1	15	0	1-2 Year	Yes	28,775	124	275	1
431,933	Female	24	1	6	1	< 1 Year	No	23,135	152	271	0
52,024	Male	61	1	28	0	> 2 Years	Yes	42,830	26	188	0
428,787	Male	59	1	28	0	1-2 Year	Yes	37,313	157	47	1
410,225	Female	29	1	50	1	< 1 Year	No	24,742	152	95	0
28,493	Female	29	1	38	0	< 1 Year	Yes	30,046	152	38	0
227,374	Female	42	1	19	0	1-2 Year	Yes	22,361	124	224	1
431,683	Female	23	1	34	1	< 1 Year	No	33,338	26	49	0
433,733	Male	73	1	28	1	1-2 Year	No	37,088	122	77	0
139,782	Male	24	1	39	1	< 1 Year	No	30,187	152	123	0
65,176	Male	64	1	28	0	1-2 Year	No	2,630	122	254	0
277,905	Male	52	1	28	1	1-2 Year	No	27,844	26	225	0
324,131	Male	23	1	22	1	< 1 Year	No	29,735	152	98	0
54,187	Female	23	1	15	1	< 1 Year	Yes	24,542	152	96	0
173,937	Male	37	1	29	0	1-2 Year	No	27,229	124	187	0
11,442	Male	46	1	35	1	1-2 Year	No	21,005	124	204	0
261,291	Female	26	1	36	1	< 1 Year	No	29,605	152	282	0
379,426	Female	25	1	12	1	< 1 Year	No	28,438	152	79	0
398,645	Female	45	1	8	0	1-2 Year	Yes	35,682	124	292	1
306,285	Female	31	1	30	1	< 1 Year	No	38,005	152	254	0
6,194	Male	68	1	28	0	1-2 Year	Yes	27,861	26	136	0
125,194	Male	36	1	3	0	1-2 Year	Yes	19,222	152	119	0
285,032	Female	22	1	37	0	< 1 Year	No	29,805	152	209	0
38,551	Male	39	1	4	0	1-2 Year	Yes	33,522	124	290	1
35,311	Female	24	1	3	1	< 1 Year	No	25,475	152	128	0
247,681	Male	23	1	10	1	< 1 Year	No	30,945	152	168	0
425,139	Male	48	1	28	1	1-2 Year	No	35,079	24	51	0
70,641	Male	49	1	4	0	1-2 Year	Yes	29,363	124	167	1
503,663	Female	26	1	35	1	< 1 Year	No	29,843	152	199	0
40,582	Male	26	1	41	1	< 1 Year	No	20,159	152	96	0
315,986	Male	63	1	28	1	1-2 Year	No	37,020	124	253	0
471,980	Male	24	1	10	1	< 1 Year	No	29,763	152	288	0
419,823	Female	22	1	8	1	< 1 Year	No	44,053	152	272	0
178,663	Female	25	1	15	1	< 1 Year	No	42,908	152	281	0
37,710	Male	46	1	8	0	1-2 Year	Yes	31,712	26	27	0
396,109	Male	28	1	6	1	< 1 Year	No	2,630	152	296	0
131,215	Female	23	1	40	0	< 1 Year	Yes	29,266	152	39	0
177,006	Male	40	1	28	1	1-2 Year	No	53,537	124	170	0
324,397	Female	42	1	24	0	1-2 Year	Yes	40,342	26	213	1
77,008	Female	37	1	30	1	1-2 Year	No	24,572	152	250	0
245,364	Female	30	1	41	1	< 1 Year	No	30,181	152	116	0
180,580	Female	62	1	38	1	1-2 Year	No	34,578	26	114	0
277,104	Female	40	1	41	0	1-2 Year	Yes	16,941	157	102	0
107,785	Female	23	1	3	0	< 1 Year	No	2,630	160	281	0
259,427	Female	24	1	28	1	< 1 Year	No	37,444	153	237	0
6,420	Male	22	1	10	1	< 1 Year	No	23,937	152	166	0
306,816	Female	69	1	43	1	1-2 Year	No	2,630	160	155	0

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