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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
439,495	Female	47	1	28	0	1-2 Year	Yes	49,989	26	11	1
157,342	Female	26	1	37	1	< 1 Year	Yes	28,367	152	272	0
238,168	Male	36	1	28	0	1-2 Year	Yes	44,268	55	16	0
167,246	Male	44	1	28	0	1-2 Year	Yes	25,657	124	18	1
351,507	Female	38	1	11	0	1-2 Year	Yes	36,022	155	100	0
118,030	Female	25	1	28	0	< 1 Year	Yes	30,113	26	179	0
73,758	Female	44	1	0	0	1-2 Year	No	2,630	124	261	0
254,734	Female	25	1	37	1	< 1 Year	No	36,262	152	283	0
187,756	Male	58	1	8	0	1-2 Year	No	57,995	30	291	0
68,504	Female	26	1	31	0	< 1 Year	Yes	2,630	152	172	0
364,192	Male	51	1	46	1	1-2 Year	No	32,529	26	230	0
80,473	Male	78	1	3	1	1-2 Year	No	34,863	26	240	0
338,045	Male	40	1	28	1	1-2 Year	No	53,001	124	149	0
222,228	Female	25	1	15	1	< 1 Year	No	25,108	152	47	0
179,698	Female	52	1	3	0	1-2 Year	Yes	32,925	124	156	0
386,555	Female	25	1	33	1	< 1 Year	No	30,497	152	260	0
468,857	Male	31	1	39	0	< 1 Year	Yes	2,630	163	78	1
340,873	Male	57	1	39	1	1-2 Year	No	48,547	29	230	0
70,393	Male	37	1	8	1	1-2 Year	No	45,919	26	95	0
149,158	Male	24	1	8	0	< 1 Year	No	2,630	152	238	1
167,644	Male	77	1	39	0	1-2 Year	Yes	2,630	26	64	0
120,347	Female	48	1	28	0	1-2 Year	Yes	46,837	124	268	0
155,055	Female	21	1	8	0	< 1 Year	Yes	35,610	160	216	0
175,383	Female	28	1	30	1	< 1 Year	No	71,397	152	103	0
339,879	Male	39	1	11	0	1-2 Year	Yes	27,767	26	168	0
126,640	Female	24	1	8	1	< 1 Year	No	32,645	152	32	0
306,791	Male	48	1	8	0	1-2 Year	Yes	42,060	124	216	0
169,129	Male	63	1	8	0	1-2 Year	Yes	40,521	26	97	0
457,853	Female	41	1	28	0	1-2 Year	Yes	32,082	124	22	1
374,771	Male	47	1	5	1	1-2 Year	No	41,657	122	206	0
481,185	Male	20	1	14	1	< 1 Year	No	32,722	160	160	0
327,050	Male	54	1	41	1	1-2 Year	No	41,154	124	83	0
73,983	Female	26	1	18	1	< 1 Year	No	31,456	152	98	0
307,971	Female	25	1	46	1	< 1 Year	No	23,542	152	22	0
142,936	Male	23	1	21	0	< 1 Year	Yes	32,670	152	96	0
97,881	Female	24	1	8	0	< 1 Year	Yes	44,690	152	280	0
160,859	Male	24	1	50	0	< 1 Year	Yes	20,341	152	10	0
44,522	Female	24	1	39	1	< 1 Year	No	18,462	152	211	0
99,348	Male	59	1	29	0	1-2 Year	Yes	59,552	124	19	0
9,551	Female	41	1	46	0	1-2 Year	Yes	28,188	26	131	1
388,878	Female	26	1	8	1	< 1 Year	No	40,508	152	197	0
30,309	Female	21	1	15	1	< 1 Year	No	36,433	160	296	0
83,590	Female	28	1	26	1	< 1 Year	No	2,630	152	95	0
211,475	Male	63	1	28	0	1-2 Year	Yes	20,568	26	160	0
32,243	Male	42	1	3	1	1-2 Year	No	34,952	26	116	0
128,148	Male	44	1	5	0	1-2 Year	Yes	2,630	124	294	1
358,500	Female	67	1	28	1	1-2 Year	No	49,039	124	273	0
469,304	Male	52	1	3	0	1-2 Year	Yes	25,598	154	128	1
264,485	Male	52	1	8	0	1-2 Year	Yes	34,641	124	265	1
447,050	Female	26	1	41	1	< 1 Year	No	41,531	152	76	0
416,261	Female	42	1	28	0	1-2 Year	Yes	35,614	26	170	1
331,110	Female	72	1	31	0	1-2 Year	No	2,630	124	102	0
52,834	Male	31	1	15	0	< 1 Year	Yes	38,796	124	168	0
323,820	Female	22	1	36	1	< 1 Year	No	46,359	152	173	0
458,243	Male	46	1	28	1	1-2 Year	No	2,630	26	122	0
476,682	Male	25	1	36	1	< 1 Year	No	44,873	152	15	0
321,835	Male	44	1	8	0	1-2 Year	No	55,825	26	173	0
12,038	Male	59	1	28	0	1-2 Year	Yes	38,346	52	33	1
215,615	Female	24	1	46	1	< 1 Year	No	31,051	152	38	0
131,104	Female	38	1	28	1	1-2 Year	No	33,791	124	126	0
439,432	Male	31	1	8	0	< 1 Year	Yes	29,660	124	295	1
375,498	Male	22	1	11	1	< 1 Year	No	34,706	152	268	0
85,380	Male	42	1	50	0	1-2 Year	Yes	35,777	26	215	1
17,110	Male	37	1	43	0	1-2 Year	Yes	2,630	124	233	1
502,713	Female	22	1	9	1	< 1 Year	No	40,470	152	203	0
4,473	Male	53	1	39	0	1-2 Year	Yes	27,997	124	33	0
487,201	Female	29	1	15	1	< 1 Year	No	35,687	152	236	0
312,961	Male	50	1	28	0	1-2 Year	Yes	51,217	26	214	0
338,639	Male	58	1	28	0	1-2 Year	Yes	49,466	124	102	0
506,379	Male	50	1	23	0	1-2 Year	Yes	28,522	26	147	1
360,760	Female	27	1	21	1	< 1 Year	No	42,194	152	50	0
150,019	Female	26	1	28	1	< 1 Year	No	43,090	122	182	0
35,569	Female	30	1	14	1	< 1 Year	No	31,328	152	135	0
335,261	Female	22	1	15	1	< 1 Year	No	37,160	152	154	0
324,048	Female	21	1	15	1	< 1 Year	No	38,292	152	17	0
42,689	Male	59	1	50	0	1-2 Year	Yes	40,510	26	34	0
82,706	Male	26	1	8	1	< 1 Year	No	36,689	152	30	0
224,031	Female	32	1	28	0	1-2 Year	Yes	81,967	122	203	0
29,513	Male	72	1	46	1	1-2 Year	No	2,630	156	24	0
85,836	Male	32	1	28	1	< 1 Year	No	27,063	152	165	0
413,331	Female	22	1	46	1	< 1 Year	No	30,960	152	64	0
277,658	Female	28	1	11	1	< 1 Year	No	26,556	152	155	0
498,695	Male	59	1	28	0	1-2 Year	Yes	60,021	26	86	1
460,796	Female	27	1	50	1	< 1 Year	No	37,167	152	254	0
449,125	Male	51	1	46	0	1-2 Year	Yes	2,630	26	227	1
232,495	Male	32	1	28	0	< 1 Year	Yes	42,921	26	157	0
126,610	Male	50	1	28	0	1-2 Year	Yes	26,021	26	117	0
167,229	Male	30	1	28	0	< 1 Year	Yes	2,630	26	289	0
282,402	Female	47	1	28	0	1-2 Year	Yes	50,631	26	51	0
202,628	Male	71	1	28	0	> 2 Years	Yes	62,401	26	61	1
373,278	Male	54	1	23	0	1-2 Year	Yes	2,630	156	28	0
209,310	Male	20	1	3	0	< 1 Year	Yes	17,415	160	93	0
51,839	Male	55	1	48	0	1-2 Year	Yes	2,630	124	102	0
181,751	Female	23	1	15	0	< 1 Year	Yes	40,987	152	28	0
18,560	Female	22	1	8	1	< 1 Year	No	37,855	152	131	0
275,045	Female	22	1	21	1	< 1 Year	No	26,255	152	264	0
103,644	Male	78	1	28	1	1-2 Year	No	29,593	26	191	0
167,370	Male	28	1	6	1	< 1 Year	No	15,971	152	168	0
326,605	Female	22	1	45	0	< 1 Year	Yes	38,524	152	250	0
477,785	Female	21	1	11	1	< 1 Year	No	29,431	152	101	0

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