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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
208,733	Male	23	1	6	1	< 1 Year	No	24,091	152	61	0
50,892	Male	73	1	3	1	1-2 Year	No	31,160	26	98	0
48,710	Male	40	1	28	1	1-2 Year	No	51,521	124	267	0
43,479	Female	21	1	33	1	< 1 Year	No	28,678	152	129	0
148,981	Male	57	1	29	0	1-2 Year	Yes	36,843	26	128	0
61,287	Female	53	1	50	0	1-2 Year	No	2,630	157	190	0
76,863	Male	23	1	28	1	< 1 Year	No	47,508	152	94	0
185,857	Male	27	1	28	1	< 1 Year	No	83,148	152	163	0
450,053	Male	35	1	28	0	1-2 Year	Yes	32,135	156	203	1
368,712	Female	42	1	36	0	1-2 Year	Yes	31,517	157	107	1
47,539	Male	50	1	28	0	1-2 Year	Yes	37,032	26	209	0
335,112	Male	25	1	44	1	< 1 Year	No	38,240	152	290	0
347,887	Female	22	1	8	0	< 1 Year	Yes	28,404	152	64	0
251,797	Male	46	1	28	0	1-2 Year	Yes	48,514	26	238	1
239,258	Female	22	1	8	1	< 1 Year	No	95,135	152	103	0
285,945	Female	57	1	28	0	1-2 Year	Yes	27,535	26	97	0
377,052	Male	65	1	45	0	1-2 Year	Yes	23,672	26	201	0
131,840	Female	74	1	28	0	1-2 Year	Yes	31,531	124	28	0
425,179	Female	21	1	37	1	< 1 Year	No	2,630	152	254	0
46,020	Male	25	1	41	1	< 1 Year	No	54,582	152	274	0
72,692	Male	35	1	28	1	1-2 Year	Yes	2,630	157	38	0
374,068	Female	53	1	47	1	1-2 Year	No	35,502	113	27	0
338,540	Male	38	1	28	1	1-2 Year	No	72,800	122	173	0
135,557	Female	41	1	28	0	1-2 Year	No	2,630	124	228	0
175,637	Female	29	1	28	1	< 1 Year	No	42,401	152	217	0
215,483	Male	58	1	28	0	1-2 Year	Yes	2,630	81	54	0
65,400	Female	64	1	28	1	1-2 Year	Yes	44,427	25	220	0
332,544	Male	68	1	28	0	1-2 Year	Yes	51,612	152	272	0
55,417	Male	67	1	46	1	1-2 Year	No	34,931	124	217	0
79,552	Male	25	1	41	1	< 1 Year	No	32,837	152	147	0
350,260	Male	47	1	29	0	1-2 Year	Yes	52,698	124	21	1
507,320	Male	53	1	8	1	1-2 Year	No	38,036	71	276	0
70,041	Female	57	1	3	1	1-2 Year	No	32,498	152	133	0
294,031	Male	40	1	15	1	1-2 Year	No	30,641	124	164	0
62,003	Female	73	1	28	0	> 2 Years	Yes	64,222	124	195	0
152,463	Female	60	1	7	1	1-2 Year	No	2,630	124	45	0
326,655	Male	33	1	30	0	1-2 Year	Yes	2,630	124	274	0
151,413	Female	31	1	8	0	1-2 Year	No	31,330	26	42	0
184,009	Male	45	1	36	1	1-2 Year	No	35,699	26	263	0
170,125	Male	54	1	28	0	1-2 Year	Yes	2,630	26	210	0
304,384	Male	20	1	46	0	< 1 Year	Yes	24,346	160	235	0
341,555	Female	64	1	39	0	1-2 Year	Yes	31,945	26	160	0
39,765	Male	46	1	28	0	1-2 Year	Yes	36,807	124	258	0
132,519	Male	61	1	28	0	1-2 Year	Yes	45,168	124	158	0
43,664	Female	34	1	28	0	1-2 Year	No	2,630	157	255	0
455,135	Female	50	1	46	0	1-2 Year	Yes	47,517	26	260	1
304,779	Female	56	1	11	0	1-2 Year	Yes	41,716	124	22	1
487,396	Female	23	1	46	1	< 1 Year	No	22,455	160	172	0
426,575	Female	41	1	8	0	1-2 Year	Yes	32,614	26	35	1
377,049	Female	39	1	28	0	1-2 Year	Yes	29,282	155	141	0
18,338	Female	22	1	46	1	< 1 Year	No	27,433	152	126	0
41,509	Male	21	1	17	1	< 1 Year	No	69,187	160	222	0
196,948	Female	46	1	28	1	1-2 Year	No	42,653	124	121	0
11,087	Male	24	1	35	0	< 1 Year	Yes	35,239	124	56	0
91,413	Male	49	1	8	1	1-2 Year	No	47,794	124	201	0
188,650	Male	24	1	15	0	< 1 Year	Yes	30,048	160	116	0
395,725	Male	56	1	29	0	1-2 Year	Yes	34,938	26	293	1
348,876	Male	56	1	28	0	1-2 Year	Yes	39,572	124	50	0
142,764	Female	54	1	20	0	1-2 Year	Yes	2,630	26	175	0
30,264	Male	34	1	46	1	1-2 Year	No	26,874	152	50	0
194,360	Male	45	1	29	0	1-2 Year	No	23,151	26	204	0
106,368	Male	41	1	15	0	1-2 Year	Yes	34,501	26	140	1
83,551	Male	45	1	31	0	1-2 Year	Yes	2,630	9	30	1
351,777	Female	57	1	28	0	> 2 Years	Yes	50,482	24	87	0
83,513	Male	32	1	29	0	1-2 Year	Yes	2,630	156	257	0
347,988	Male	21	1	10	0	< 1 Year	Yes	29,604	152	243	0
42,718	Female	21	1	41	1	< 1 Year	No	2,630	160	91	0
42,354	Female	77	1	28	0	1-2 Year	Yes	33,564	26	297	0
331,804	Female	43	1	15	0	1-2 Year	Yes	26,894	26	171	0
381,072	Male	53	1	8	0	1-2 Year	Yes	31,732	124	185	0
67,462	Male	41	1	3	1	1-2 Year	Yes	2,630	124	120	0
110,065	Male	45	1	28	0	1-2 Year	Yes	40,377	61	197	0
451,801	Male	74	1	47	1	1-2 Year	Yes	51,388	16	127	0
81,307	Female	47	1	37	0	1-2 Year	Yes	44,536	124	257	0
40,934	Female	26	1	41	1	< 1 Year	No	39,141	152	54	0
394,214	Male	36	1	8	0	1-2 Year	Yes	35,659	124	69	1
434,425	Male	29	1	28	1	< 1 Year	No	30,378	152	163	0
485,836	Male	45	1	28	1	1-2 Year	No	28,544	60	26	0
479,753	Male	22	1	36	1	< 1 Year	No	32,793	152	102	0
87,809	Female	24	1	41	0	< 1 Year	Yes	2,630	152	78	0
26,575	Male	44	1	28	0	1-2 Year	Yes	2,630	26	145	1
341,207	Male	57	1	3	0	1-2 Year	Yes	30,531	26	53	0
223,336	Male	43	1	8	1	1-2 Year	No	53,303	26	57	0
226,318	Male	68	1	28	0	1-2 Year	Yes	49,711	124	157	0
94,012	Female	41	1	3	0	1-2 Year	Yes	2,630	26	59	1
19,167	Female	42	1	28	1	1-2 Year	No	29,864	125	228	0
198,768	Male	23	1	8	1	< 1 Year	No	32,642	152	209	0
360,576	Male	27	1	28	1	1-2 Year	No	35,659	124	112	0
245,017	Female	35	1	9	0	1-2 Year	Yes	37,686	124	271	1
286,659	Female	33	1	8	1	< 1 Year	No	30,525	152	64	0
340,090	Male	51	1	28	0	1-2 Year	Yes	55,449	124	274	0
87,334	Male	27	1	30	1	< 1 Year	No	24,614	152	74	0
202,124	Female	43	1	47	1	1-2 Year	No	38,318	152	130	0
383,101	Female	25	1	41	0	< 1 Year	Yes	37,409	26	175	1
111,003	Female	26	1	30	1	< 1 Year	No	32,476	152	113	0
219,612	Male	52	1	28	0	1-2 Year	Yes	39,980	26	266	1
233,366	Male	28	1	14	1	< 1 Year	No	34,874	151	206	0
130,858	Male	41	1	28	0	1-2 Year	Yes	77,169	124	178	0
130,562	Female	50	1	28	0	1-2 Year	Yes	43,968	26	257	1
358,874	Male	57	1	7	0	1-2 Year	Yes	32,114	124	268	0

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