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codesignal
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imbalanced-data-practice

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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
52,945	Female	70	1	28	0	1-2 Year	Yes	2,630	157	238	0
276,927	Female	43	1	46	0	1-2 Year	Yes	33,382	152	275	0
61,256	Male	54	1	47	0	1-2 Year	Yes	31,836	26	18	1
323,041	Male	62	1	33	0	1-2 Year	Yes	30,980	154	12	0
264,300	Male	36	1	46	1	1-2 Year	No	25,912	26	138	0
324,373	Male	21	1	15	0	< 1 Year	Yes	25,980	160	51	0
352,673	Female	42	1	28	0	1-2 Year	Yes	51,430	26	38	0
305,699	Male	23	1	26	1	< 1 Year	No	2,630	152	114	0
161,862	Male	30	1	41	1	1-2 Year	No	36,561	124	272	0
250,045	Female	22	1	10	1	< 1 Year	No	24,334	152	54	0
266,161	Male	45	1	10	0	1-2 Year	Yes	30,309	26	257	1
61,717	Male	51	1	8	0	1-2 Year	Yes	28,975	26	149	0
206,186	Male	25	1	25	0	< 1 Year	Yes	2,630	152	131	0
194,132	Female	21	1	8	1	< 1 Year	No	26,078	160	145	0
336,547	Male	21	1	47	0	1-2 Year	Yes	33,781	26	277	0
456,049	Female	42	1	8	1	1-2 Year	No	28,140	26	210	0
294,255	Male	67	1	28	0	1-2 Year	Yes	53,025	26	16	1
45,950	Female	23	1	7	1	< 1 Year	No	31,169	152	14	0
415,501	Female	22	1	29	1	< 1 Year	No	39,597	152	186	0
485,343	Male	25	1	33	1	< 1 Year	No	21,038	152	99	0
244,232	Female	27	1	28	1	< 1 Year	No	35,167	152	179	0
230,205	Female	29	1	14	1	< 1 Year	No	22,019	152	203	0
136,023	Female	49	1	28	0	> 2 Years	Yes	52,984	26	274	1
436,444	Male	43	1	13	0	1-2 Year	Yes	30,109	154	60	1
310,596	Female	50	1	48	1	1-2 Year	No	2,630	26	234	0
472,974	Female	40	1	3	0	1-2 Year	Yes	24,958	26	167	1
189,941	Female	44	1	28	0	1-2 Year	Yes	30,429	26	290	0
167,616	Male	66	1	28	1	1-2 Year	No	33,430	26	145	0
432,484	Male	36	1	36	1	1-2 Year	No	30,098	160	167	0
391,856	Male	52	1	10	1	1-2 Year	No	22,852	26	41	0
324,907	Male	53	1	6	0	> 2 Years	Yes	30,537	26	131	0
130,778	Male	52	1	28	0	1-2 Year	Yes	47,521	31	157	0
79,063	Male	54	1	30	0	1-2 Year	Yes	27,780	26	142	0
349,227	Male	45	1	28	0	> 2 Years	Yes	53,190	124	111	0
31,420	Male	66	1	8	0	1-2 Year	Yes	47,234	7	165	0
2,867	Female	52	1	46	0	1-2 Year	Yes	2,630	156	218	0
291,809	Female	44	1	28	0	1-2 Year	Yes	32,896	26	109	0
163,457	Male	54	1	28	0	> 2 Years	Yes	45,115	26	90	1
176,356	Male	31	1	48	1	< 1 Year	No	2,630	152	64	0
194,573	Male	44	1	8	0	1-2 Year	Yes	2,630	124	251	0
179,148	Female	73	1	28	1	1-2 Year	No	40,969	52	199	0
135,568	Female	70	1	9	1	1-2 Year	No	35,308	122	154	0
108,675	Male	41	1	0	1	1-2 Year	No	2,630	26	173	0
216,779	Male	50	1	16	0	1-2 Year	Yes	43,193	124	147	1
81,212	Male	25	1	14	1	< 1 Year	No	2,630	151	209	0
341,925	Male	52	1	12	0	1-2 Year	Yes	28,195	124	51	0
332,841	Male	22	1	28	1	< 1 Year	No	63,292	152	102	0
19,130	Male	77	1	28	1	1-2 Year	Yes	32,513	52	155	0
284,134	Male	30	1	3	0	< 1 Year	Yes	28,401	152	195	0
253,899	Male	38	1	50	0	1-2 Year	Yes	23,969	124	72	0
208,121	Male	28	1	15	1	< 1 Year	No	21,919	26	112	0
423,880	Female	24	1	8	1	< 1 Year	No	33,755	152	108	0
296,445	Male	39	1	46	0	1-2 Year	Yes	29,151	124	266	1
490,470	Female	42	1	8	0	1-2 Year	Yes	32,710	26	64	1
504,111	Male	47	1	28	0	1-2 Year	Yes	39,252	124	266	1
481,124	Male	24	1	41	1	< 1 Year	No	23,259	152	291	0
125,926	Male	41	1	28	0	1-2 Year	Yes	37,187	55	158	0
240,186	Male	45	1	48	1	1-2 Year	No	2,630	124	243	0
61,059	Female	59	1	28	0	1-2 Year	Yes	62,887	26	154	0
470,825	Female	48	1	7	0	1-2 Year	Yes	45,623	26	224	1
29,495	Female	21	1	50	1	< 1 Year	No	35,870	160	199	0
156,310	Male	43	1	8	0	1-2 Year	Yes	37,468	124	229	0
503,153	Female	41	1	28	0	1-2 Year	Yes	53,854	124	220	1
353,406	Female	58	1	41	0	1-2 Year	Yes	2,630	124	32	0
363,145	Female	22	1	46	1	< 1 Year	No	32,330	152	289	0
401,179	Male	45	1	28	1	1-2 Year	No	44,308	124	259	0
490,599	Male	25	1	33	1	< 1 Year	No	2,630	151	233	0
272,833	Male	53	1	28	0	> 2 Years	Yes	36,176	26	101	1
283,640	Female	23	1	8	1	< 1 Year	No	27,957	152	187	0
226,567	Male	22	1	50	1	< 1 Year	No	32,541	152	69	0
350,909	Female	45	1	12	1	1-2 Year	No	26,926	124	121	0
238,857	Male	24	1	11	1	< 1 Year	Yes	74,971	152	177	0
339,054	Male	22	1	41	1	< 1 Year	No	28,170	152	216	0
76,408	Female	23	1	30	1	< 1 Year	No	28,621	152	136	0
328,656	Male	59	1	52	0	1-2 Year	Yes	43,543	124	48	0
230,785	Female	29	1	5	1	< 1 Year	No	35,283	152	83	0
69,500	Female	21	1	41	1	< 1 Year	No	31,318	152	126	0
263,284	Male	46	1	29	1	1-2 Year	No	25,442	124	83	0
215,463	Male	25	1	28	1	< 1 Year	No	50,316	152	209	0
441,731	Male	20	1	8	1	< 1 Year	No	30,444	160	132	0
299,372	Female	54	1	41	1	1-2 Year	No	2,630	156	278	0
441,406	Female	40	1	40	0	1-2 Year	Yes	30,537	26	236	1
197,008	Male	24	1	36	0	< 1 Year	Yes	24,814	152	57	0
305,681	Male	43	1	49	0	1-2 Year	Yes	24,689	154	229	0
385,767	Female	23	1	8	1	< 1 Year	No	28,626	152	23	0
255,283	Male	21	1	28	0	1-2 Year	Yes	46,817	124	256	0
125,962	Male	27	1	37	0	< 1 Year	Yes	26,470	152	36	0
196,645	Female	48	1	29	1	1-2 Year	No	36,742	124	229	0
324,005	Male	22	1	37	0	< 1 Year	No	28,973	152	144	0
491,327	Female	21	1	28	1	< 1 Year	No	45,477	152	17	0
352,694	Male	21	1	50	1	< 1 Year	No	34,597	152	144	0
314,738	Female	49	1	28	0	1-2 Year	Yes	34,257	125	201	0
360,273	Male	36	1	19	0	1-2 Year	Yes	2,630	157	162	0
179,814	Male	47	1	15	1	1-2 Year	No	27,343	124	254	0
62,333	Male	51	1	28	0	1-2 Year	Yes	59,032	52	261	0
377,325	Male	30	1	11	1	< 1 Year	No	23,451	152	28	0
56,909	Female	33	1	28	0	< 1 Year	Yes	28,572	26	225	0
100,423	Male	47	1	12	0	> 2 Years	Yes	2,630	26	152	0
468,840	Male	23	1	35	1	< 1 Year	No	32,463	152	293	0
105,114	Female	20	1	2	1	< 1 Year	No	31,729	160	169	0

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