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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
205,828	Female	79	1	49	0	1-2 Year	Yes	19,485	26	130	0
185,110	Male	27	1	50	1	< 1 Year	No	34,838	152	287	0
448,393	Female	31	1	35	1	< 1 Year	No	37,244	152	61	0
209,604	Female	41	1	28	0	1-2 Year	Yes	73,250	122	258	0
184,115	Male	21	1	9	1	< 1 Year	No	24,699	160	294	0
71,632	Female	24	1	3	1	< 1 Year	No	35,792	152	253	0
186,775	Male	52	1	28	1	1-2 Year	No	51,302	124	87	0
380,930	Male	25	1	36	0	< 1 Year	Yes	28,976	124	274	0
247,505	Female	68	1	8	0	1-2 Year	Yes	45,375	25	242	0
457,138	Female	28	1	41	1	< 1 Year	No	21,295	152	269	0
123,029	Male	24	1	32	1	< 1 Year	No	19,147	152	265	0
283,525	Female	55	1	28	0	1-2 Year	Yes	29,395	124	295	0
226,540	Male	78	1	28	1	1-2 Year	No	26,743	124	269	0
100,370	Male	28	1	50	0	< 1 Year	Yes	2,630	156	228	0
107,858	Female	22	1	8	0	< 1 Year	Yes	41,749	152	72	0
207,782	Female	24	1	49	1	< 1 Year	No	30,996	152	83	0
379,050	Female	47	1	18	1	1-2 Year	No	27,811	26	236	0
334,562	Female	31	1	40	0	1-2 Year	Yes	2,630	124	252	0
250,799	Female	38	1	46	0	1-2 Year	Yes	2,630	156	85	0
441,122	Female	57	1	28	1	1-2 Year	No	42,228	55	48	0
344,019	Male	24	1	28	1	< 1 Year	No	26,373	152	198	0
434,384	Female	47	1	28	0	1-2 Year	Yes	27,687	26	63	1
450,020	Female	21	1	46	1	< 1 Year	No	38,942	160	214	0
348,981	Male	33	1	3	1	< 1 Year	No	36,740	152	186	0
473,958	Male	24	1	29	1	< 1 Year	No	2,630	152	134	0
46,867	Male	53	1	28	1	1-2 Year	No	48,212	26	172	0
214,375	Female	22	1	3	1	< 1 Year	No	22,597	152	202	0
176,219	Male	24	1	8	0	< 1 Year	No	61,878	152	295	0
152,910	Female	31	1	35	1	< 1 Year	No	22,410	152	283	0
377,695	Female	46	1	3	0	1-2 Year	No	35,785	124	97	0
459,074	Male	35	1	28	0	1-2 Year	Yes	42,949	157	136	1
177,662	Female	53	1	28	0	1-2 Year	Yes	111,876	26	78	0
99,477	Male	52	1	20	0	1-2 Year	Yes	2,630	124	152	0
242,665	Female	38	1	29	0	1-2 Year	Yes	2,630	157	281	0
493,538	Male	36	1	28	0	1-2 Year	Yes	38,687	124	64	1
417,026	Female	30	1	36	1	< 1 Year	No	35,385	152	123	0
84,192	Male	43	1	28	0	1-2 Year	Yes	27,841	124	299	1
10,964	Male	45	1	28	0	1-2 Year	Yes	33,592	26	97	0
363,357	Female	32	1	11	1	1-2 Year	No	38,310	124	11	0
325,872	Female	21	1	6	0	1-2 Year	Yes	42,151	163	65	1
302,369	Female	23	1	33	1	< 1 Year	No	44,076	152	110	0
47,218	Male	22	1	24	0	< 1 Year	Yes	25,510	152	91	0
281,868	Male	65	1	39	0	1-2 Year	Yes	26,388	26	252	0
353,305	Female	45	1	45	0	1-2 Year	Yes	32,811	26	159	1
43,291	Male	78	1	27	1	1-2 Year	No	23,476	26	151	0
14,679	Female	67	1	28	1	1-2 Year	No	47,667	122	266	0
301,102	Female	30	1	3	1	< 1 Year	No	46,541	160	73	0
174,296	Female	45	1	28	0	1-2 Year	Yes	22,974	26	242	0
296,647	Female	25	1	9	0	< 1 Year	No	32,238	152	267	0
42,121	Male	29	1	15	0	< 1 Year	Yes	29,858	152	225	0
491,683	Male	32	1	28	0	1-2 Year	Yes	2,630	157	270	1
208,153	Male	54	1	28	1	1-2 Year	No	30,725	124	106	0
259,766	Female	26	1	8	1	< 1 Year	No	26,831	152	281	0
210,286	Female	51	1	34	0	1-2 Year	Yes	29,736	124	70	0
76,821	Female	46	1	33	0	1-2 Year	Yes	28,133	124	92	1
78,758	Male	67	1	11	1	1-2 Year	No	34,307	26	264	0
61,495	Male	43	1	29	1	1-2 Year	No	33,149	124	60	0
78,622	Male	48	1	30	1	1-2 Year	No	33,635	152	107	0
162,601	Female	42	1	3	1	1-2 Year	No	2,630	124	113	0
149,147	Female	23	1	37	0	< 1 Year	Yes	35,380	152	23	0
479,030	Female	23	1	38	1	< 1 Year	No	29,477	160	231	0
41,081	Male	66	1	47	0	1-2 Year	Yes	47,576	16	172	0
433,728	Female	44	1	28	0	1-2 Year	Yes	40,383	26	248	1
274,983	Male	60	1	28	0	> 2 Years	Yes	29,144	124	126	0
256,404	Male	54	1	28	0	1-2 Year	Yes	42,658	124	245	0
435,267	Female	30	1	16	1	< 1 Year	No	35,481	152	71	0
116,089	Female	78	1	42	0	1-2 Year	Yes	32,476	124	209	0
18,440	Female	35	1	28	0	1-2 Year	Yes	31,687	122	283	0
448,049	Female	25	1	21	1	< 1 Year	No	28,964	152	222	0
358,095	Female	61	1	28	1	1-2 Year	No	31,190	26	79	0
91,224	Male	21	1	11	1	< 1 Year	No	26,036	160	141	0
27,019	Female	24	1	46	1	< 1 Year	No	29,081	152	203	0
232,892	Female	38	1	26	0	1-2 Year	No	41,404	156	160	0
234,811	Male	65	1	35	1	1-2 Year	No	26,840	26	224	0
491,860	Male	22	1	28	1	< 1 Year	No	66,266	152	295	0
174,974	Male	21	1	8	1	< 1 Year	No	46,831	160	167	0
194,102	Male	64	1	8	0	1-2 Year	Yes	34,643	60	162	0
359,735	Male	38	1	10	1	1-2 Year	No	38,897	152	184	0
498,984	Male	49	1	12	1	1-2 Year	No	22,001	26	204	0
438,702	Male	27	1	41	1	< 1 Year	No	26,006	152	58	0
393,224	Female	41	1	46	1	1-2 Year	No	25,677	152	25	0
181,964	Female	44	1	28	0	1-2 Year	Yes	55,107	124	108	1
193,169	Male	23	1	22	0	< 1 Year	No	30,925	152	191	0
148,699	Male	25	1	15	1	< 1 Year	No	34,780	152	217	0
349,791	Female	36	1	29	1	1-2 Year	No	28,532	26	240	0
384,843	Male	52	1	28	1	1-2 Year	No	31,683	124	51	0
219,984	Female	42	1	28	0	> 2 Years	Yes	44,850	124	77	1
507,527	Male	43	1	36	0	1-2 Year	Yes	33,734	124	32	1
484,362	Female	25	1	4	1	< 1 Year	No	33,613	152	275	0
275,599	Male	24	1	29	1	< 1 Year	No	17,792	152	201	0
153,089	Male	21	1	9	1	< 1 Year	No	2,630	160	71	0
339,049	Male	54	1	11	0	1-2 Year	Yes	26,199	26	83	0
34,110	Female	36	1	28	0	1-2 Year	Yes	37,499	45	297	0
445,256	Male	46	1	28	1	1-2 Year	No	41,697	124	64	0
189,776	Female	48	1	8	0	1-2 Year	Yes	45,536	4	271	1
58,289	Male	47	1	28	0	1-2 Year	Yes	31,189	124	123	0
289,107	Female	24	1	49	0	< 1 Year	No	26,071	152	207	0
44,306	Male	31	1	11	0	< 1 Year	No	2,630	1	50	0
141,934	Female	39	1	20	0	1-2 Year	Yes	2,630	124	190	0
347,187	Male	54	1	28	0	1-2 Year	Yes	2,630	55	241	0

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