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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
91,874	Male	23	1	11	1	< 1 Year	No	25,256	152	271	0
174,383	Female	52	1	46	0	> 2 Years	Yes	31,627	124	272	0
74,491	Male	66	1	8	1	1-2 Year	No	36,551	26	74	0
292,529	Male	24	1	8	1	< 1 Year	No	62,455	152	262	0
21,655	Male	35	1	30	0	1-2 Year	Yes	23,271	124	297	1
2,689	Female	24	1	11	1	< 1 Year	No	33,253	152	270	0
37,817	Female	37	1	28	0	1-2 Year	Yes	43,861	124	103	1
119,469	Male	26	1	8	1	< 1 Year	No	35,076	152	96	0
347,281	Male	27	1	15	0	1-2 Year	No	44,959	124	262	0
265,024	Male	44	1	28	0	1-2 Year	Yes	26,487	26	87	1
416,719	Male	46	1	28	0	1-2 Year	Yes	44,299	124	96	1
74,118	Male	56	1	1	0	1-2 Year	Yes	2,630	26	240	1
238,508	Male	32	1	36	1	1-2 Year	No	76,092	26	242	0
13,713	Male	51	1	8	1	1-2 Year	No	42,706	124	74	0
141,615	Male	28	1	41	1	1-2 Year	No	20,456	156	185	0
53,216	Male	37	1	46	1	1-2 Year	No	42,347	124	298	0
116,014	Male	41	1	46	1	1-2 Year	No	28,499	156	184	0
430,661	Female	22	1	30	1	< 1 Year	Yes	27,140	152	155	0
88,023	Male	40	1	32	0	1-2 Year	Yes	32,198	124	206	0
396,382	Female	21	1	41	1	< 1 Year	No	27,597	160	137	0
71,230	Female	28	1	3	1	< 1 Year	No	23,234	152	188	0
496,626	Female	21	1	25	1	< 1 Year	No	23,134	160	73	0
185,339	Male	27	1	44	1	< 1 Year	No	46,538	152	217	0
505,394	Female	22	1	8	1	< 1 Year	No	41,600	152	42	0
148,386	Male	31	1	9	0	1-2 Year	No	36,817	124	263	0
227,835	Female	33	1	12	0	< 1 Year	Yes	35,699	152	213	0
456,827	Female	42	1	41	1	1-2 Year	No	32,619	124	198	0
170,442	Female	24	1	9	1	< 1 Year	No	22,746	151	204	0
367,986	Male	27	1	20	0	< 1 Year	Yes	2,630	124	101	0
319,589	Male	78	1	28	0	> 2 Years	Yes	2,630	122	234	0
306,649	Male	42	1	46	1	1-2 Year	No	29,678	124	286	0
334,401	Female	23	1	47	0	< 1 Year	Yes	19,696	26	242	0
120,405	Male	21	1	8	1	< 1 Year	No	37,704	160	113	0
452,777	Male	50	1	12	0	1-2 Year	Yes	28,595	26	27	1
154,457	Female	68	1	28	1	1-2 Year	No	31,966	26	144	0
183,980	Male	31	1	8	0	< 1 Year	Yes	51,488	152	212	0
399,949	Female	26	1	8	1	< 1 Year	No	38,376	152	46	0
376,219	Female	54	1	0	0	1-2 Year	Yes	2,630	122	34	0
300,142	Female	23	1	12	1	< 1 Year	No	2,630	151	194	0
32,153	Female	57	1	28	1	1-2 Year	No	59,525	152	105	0
20,606	Female	48	1	26	1	1-2 Year	No	24,249	22	114	0
383,931	Female	25	1	8	1	< 1 Year	No	25,068	152	206	0
48,630	Male	35	1	28	0	1-2 Year	No	47,793	152	294	0
283,230	Female	39	1	28	0	1-2 Year	Yes	44,480	125	259	0
96,637	Female	36	1	15	1	1-2 Year	No	30,622	152	224	0
137,849	Male	75	1	28	0	1-2 Year	Yes	46,994	26	285	0
181,525	Male	60	1	14	0	1-2 Year	Yes	30,342	26	90	0
114,325	Male	21	1	26	0	< 1 Year	Yes	30,410	152	249	0
122,753	Male	62	1	28	1	1-2 Year	No	55,647	124	85	0
36,750	Male	69	1	28	0	1-2 Year	Yes	42,629	30	126	0
88,061	Female	43	1	28	0	1-2 Year	Yes	50,378	26	136	1
26,072	Male	23	1	8	0	< 1 Year	No	40,952	160	34	0
241,732	Male	41	1	3	0	1-2 Year	Yes	2,630	156	38	1
220,801	Female	74	1	8	0	1-2 Year	Yes	43,864	26	229	0
111,587	Female	25	1	28	1	< 1 Year	No	113,350	152	103	0
432,770	Female	24	1	8	1	< 1 Year	No	25,340	152	113	0
222,750	Female	23	1	15	0	< 1 Year	Yes	30,501	26	279	0
6,736	Female	25	1	10	1	< 1 Year	No	28,707	152	208	0
320,788	Female	22	1	46	1	< 1 Year	No	23,390	152	158	0
87,351	Male	28	1	8	0	< 1 Year	No	35,943	152	117	0
493,835	Male	24	1	50	1	< 1 Year	No	33,876	152	122	0
7,370	Male	46	1	8	1	1-2 Year	No	39,614	124	204	0
169,526	Male	43	1	15	0	1-2 Year	Yes	30,319	124	126	0
118,172	Female	43	1	10	1	1-2 Year	No	2,630	160	129	0
53,623	Female	21	1	24	1	< 1 Year	No	33,110	152	102	0
94,054	Female	24	1	8	1	< 1 Year	No	40,357	152	29	0
505,358	Male	52	1	18	0	1-2 Year	Yes	48,043	124	144	1
474,882	Female	23	1	6	1	< 1 Year	No	27,691	153	43	0
93,343	Female	23	1	11	1	< 1 Year	No	30,754	152	157	0
333,699	Male	21	1	8	0	< 1 Year	Yes	37,268	160	66	0
232,951	Female	23	1	8	1	< 1 Year	No	39,071	152	184	0
174,894	Male	26	1	29	1	< 1 Year	No	24,592	152	14	0
457,876	Female	52	1	46	0	1-2 Year	Yes	2,630	26	274	1
227,808	Female	21	1	46	0	< 1 Year	Yes	28,051	152	115	0
275,482	Male	61	1	20	0	1-2 Year	Yes	2,630	26	73	0
388,620	Female	24	1	46	1	< 1 Year	No	25,738	152	29	0
35,673	Female	59	1	28	1	1-2 Year	No	30,436	26	190	0
278,564	Female	26	1	30	0	< 1 Year	Yes	24,360	152	206	0
290,923	Male	21	1	28	1	< 1 Year	No	30,067	160	207	0
169,789	Male	25	1	28	0	< 1 Year	Yes	32,950	152	129	0
220,440	Male	65	1	32	1	1-2 Year	No	22,633	124	241	0
349,284	Female	28	1	28	1	< 1 Year	No	38,900	152	36	0
233,578	Male	54	1	28	0	1-2 Year	Yes	59,395	154	228	0
124,966	Female	30	1	28	0	1-2 Year	Yes	23,932	124	155	1
60,896	Male	58	1	18	0	1-2 Year	Yes	29,999	157	22	1
293,924	Male	47	1	28	1	1-2 Year	No	49,160	157	210	0
201,072	Male	55	1	10	0	1-2 Year	Yes	37,148	124	258	1
73,783	Male	22	1	41	0	< 1 Year	Yes	38,795	160	248	0
73,735	Female	67	1	3	1	1-2 Year	No	27,508	129	70	0
268,927	Female	26	1	17	1	< 1 Year	No	46,292	152	160	0
415,361	Female	42	1	28	0	1-2 Year	Yes	42,452	26	238	1
325,631	Male	21	1	41	1	< 1 Year	No	34,661	152	110	0
255,668	Male	24	1	13	1	< 1 Year	No	33,958	152	245	0
373,308	Female	44	1	28	1	1-2 Year	No	50,163	124	270	0
269,914	Male	36	1	28	0	1-2 Year	Yes	30,174	124	141	1
182,308	Male	48	1	33	0	1-2 Year	Yes	22,620	154	73	0
83,699	Female	49	1	29	0	> 2 Years	Yes	32,169	124	44	0
118,763	Male	21	1	49	1	< 1 Year	No	31,932	152	45	0
210,431	Male	40	1	46	1	1-2 Year	No	2,630	124	191	0
326,962	Female	25	1	14	1	< 1 Year	No	31,180	152	259	0

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