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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
304,128	Female	26	1	47	1	< 1 Year	No	26,581	152	145	0
183,913	Male	24	1	45	0	< 1 Year	Yes	42,905	152	33	0
898	Male	41	1	45	0	1-2 Year	Yes	26,978	25	213	0
141,158	Male	24	1	8	1	< 1 Year	No	55,630	152	121	0
248,818	Male	74	1	29	0	1-2 Year	Yes	34,832	26	93	0
240,744	Male	60	1	8	1	1-2 Year	No	63,697	124	186	0
312,237	Female	39	1	31	1	1-2 Year	No	2,630	26	188	0
670	Female	23	1	28	1	< 1 Year	No	49,577	152	55	0
417,257	Female	24	1	10	1	< 1 Year	No	27,202	152	34	0
66,250	Female	47	1	8	0	1-2 Year	Yes	35,632	154	135	0
264,173	Male	51	1	36	0	1-2 Year	No	37,153	124	35	0
48,309	Female	38	1	31	1	1-2 Year	No	2,630	124	91	0
428,279	Male	75	1	26	1	1-2 Year	No	37,056	22	239	0
332,379	Male	47	1	41	0	1-2 Year	Yes	2,630	124	56	0
350,910	Female	25	1	15	0	< 1 Year	Yes	35,632	152	234	0
260,243	Male	35	1	28	1	1-2 Year	No	38,375	124	261	0
295,278	Female	52	1	17	0	1-2 Year	Yes	50,382	124	253	0
185,174	Male	20	1	50	0	< 1 Year	Yes	37,622	160	184	0
173,460	Female	20	1	47	0	< 1 Year	Yes	32,471	160	20	0
52,310	Male	42	1	0	0	1-2 Year	No	2,630	26	191	0
61,031	Female	48	1	15	1	1-2 Year	No	2,630	124	42	0
340,424	Male	62	1	8	1	1-2 Year	No	40,642	124	288	0
288,672	Male	64	1	28	0	1-2 Year	Yes	40,217	26	177	0
258,242	Female	23	1	43	1	< 1 Year	No	30,998	26	63	0
258,937	Female	25	1	3	0	< 1 Year	Yes	29,840	152	166	0
311,763	Female	54	1	14	0	1-2 Year	Yes	25,539	26	89	1
462,700	Female	67	1	48	1	1-2 Year	No	2,630	124	217	0
32,175	Male	51	1	46	0	< 1 Year	No	2,630	1	107	0
268,729	Male	41	1	37	0	1-2 Year	Yes	29,514	124	158	0
34,438	Female	25	1	30	1	< 1 Year	No	23,203	152	287	0
78,608	Female	70	1	28	0	1-2 Year	Yes	22,115	26	233	0
355,155	Male	45	1	50	0	1-2 Year	Yes	31,211	8	291	0
451,680	Female	25	1	15	1	< 1 Year	No	31,918	160	91	0
144,163	Female	23	1	50	1	< 1 Year	No	28,920	152	264	0
45,601	Female	26	1	30	1	< 1 Year	No	25,766	152	135	0
128,798	Male	22	1	41	1	< 1 Year	No	31,233	152	182	0
444,627	Male	32	1	41	0	1-2 Year	Yes	34,470	124	265	1
357,948	Female	43	1	28	1	1-2 Year	No	37,677	26	186	0
359,076	Male	33	1	28	0	1-2 Year	No	36,051	124	56	0
139,313	Female	51	1	28	0	1-2 Year	Yes	38,795	26	219	0
490,011	Female	40	1	28	0	1-2 Year	Yes	2,630	26	200	1
447,991	Female	36	1	29	1	1-2 Year	No	40,196	152	84	0
226,097	Male	41	1	28	0	1-2 Year	Yes	40,250	124	162	0
82,746	Male	37	1	2	0	1-2 Year	Yes	28,629	124	139	0
365,155	Male	42	1	28	0	1-2 Year	Yes	44,948	26	19	0
490,279	Female	55	1	48	1	1-2 Year	No	2,630	26	131	0
234,863	Male	41	1	28	0	1-2 Year	Yes	34,131	26	280	0
215,966	Male	27	1	46	1	< 1 Year	No	43,560	152	139	0
113,130	Male	44	1	28	0	> 2 Years	Yes	38,641	26	86	0
278,162	Male	26	1	2	1	< 1 Year	No	37,622	152	42	0
83,549	Male	30	1	41	1	< 1 Year	No	25,132	152	142	0
54,614	Female	76	1	14	1	1-2 Year	No	27,118	124	184	0
353,430	Female	29	1	28	1	< 1 Year	No	44,712	152	156	0
41,842	Female	58	1	7	0	1-2 Year	Yes	44,515	124	182	1
32,834	Male	33	1	41	0	< 1 Year	Yes	2,630	160	163	0
428,653	Male	25	1	28	1	< 1 Year	No	45,278	152	143	0
235,104	Male	58	1	28	0	1-2 Year	Yes	39,427	26	231	0
365,083	Female	23	1	15	0	< 1 Year	Yes	30,856	152	28	0
149,747	Female	32	1	36	0	1-2 Year	Yes	2,630	156	98	0
149,022	Female	21	1	21	1	< 1 Year	No	21,546	152	148	0
236,596	Male	34	1	28	0	1-2 Year	Yes	32,430	156	297	1
33,424	Female	53	1	21	1	1-2 Year	No	29,254	152	117	0
504,314	Female	38	1	41	0	1-2 Year	Yes	29,554	26	231	1
163,445	Male	40	1	15	0	1-2 Year	Yes	2,630	156	138	0
178,285	Male	69	1	8	1	1-2 Year	No	42,760	124	77	0
187,600	Female	54	1	30	0	1-2 Year	Yes	24,394	26	227	0
195,401	Female	22	1	36	0	< 1 Year	Yes	34,125	152	84	0
275,791	Female	58	1	28	0	1-2 Year	Yes	46,156	29	35	0
130,978	Female	23	1	8	1	< 1 Year	No	48,102	26	146	0
405,896	Female	45	1	3	0	1-2 Year	Yes	27,463	124	13	1
382,711	Male	20	1	38	1	< 1 Year	No	2,630	160	107	0
307,778	Female	52	1	28	0	1-2 Year	Yes	2,630	26	250	0
258,788	Female	50	1	37	1	1-2 Year	No	31,394	152	132	0
89,138	Male	30	1	3	0	1-2 Year	Yes	2,630	156	274	0
152,594	Male	26	1	46	0	< 1 Year	Yes	28,573	152	259	0
192,149	Female	27	1	15	1	< 1 Year	No	25,742	152	52	0
187,344	Male	24	1	33	1	< 1 Year	No	2,630	160	196	0
206,172	Male	29	1	15	1	< 1 Year	No	27,429	152	244	0
318,380	Female	27	1	28	1	< 1 Year	No	40,538	152	229	0
255,666	Female	70	1	47	1	1-2 Year	No	28,582	124	73	0
207,593	Male	55	1	29	1	1-2 Year	No	43,597	26	155	0
162,311	Male	38	1	38	1	1-2 Year	No	32,206	26	192	0
360,462	Female	52	1	28	0	1-2 Year	Yes	56,292	26	178	0
31,056	Male	63	1	3	0	1-2 Year	Yes	37,023	124	122	1
5,000	Male	63	1	2	1	1-2 Year	No	30,791	26	40	0
330,915	Female	24	1	18	1	< 1 Year	No	33,576	152	98	0
485,275	Male	48	1	28	0	1-2 Year	Yes	39,606	124	53	1
190,122	Male	46	1	29	1	1-2 Year	No	31,833	124	136	0
21,256	Female	22	1	17	0	< 1 Year	Yes	35,305	152	94	0
12,247	Male	41	1	29	0	1-2 Year	No	34,897	26	80	0
79,207	Male	41	1	50	0	1-2 Year	Yes	40,659	18	162	0
305,051	Male	60	1	28	0	1-2 Year	Yes	38,508	26	48	0
249,931	Male	20	1	23	0	1-2 Year	Yes	2,630	156	29	0
16,478	Male	44	1	0	0	1-2 Year	Yes	2,630	122	59	0
315,493	Male	44	1	15	0	1-2 Year	Yes	2,630	26	269	0
496,682	Female	65	1	50	1	1-2 Year	No	44,492	124	248	0
168,757	Female	21	1	28	0	1-2 Year	Yes	37,544	122	191	0
38,295	Male	26	1	9	1	< 1 Year	No	33,328	152	143	0
103,006	Female	21	1	38	1	< 1 Year	No	2,630	152	233	0
11,138	Male	27	1	46	1	< 1 Year	No	27,043	152	163	0

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