Split (2)

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
216,128	Male	69	1	3	0	1-2 Year	No	30,075	26	220	0
98,837	Male	40	1	28	0	1-2 Year	Yes	36,332	124	171	0
482,233	Male	44	1	8	0	1-2 Year	Yes	48,336	26	218	1
144,019	Male	47	0	8	1	1-2 Year	No	34,737	26	141	0
153,680	Female	25	1	28	0	1-2 Year	Yes	34,517	124	223	0
507,297	Female	26	1	6	1	< 1 Year	No	36,726	152	61	0
40,547	Male	39	1	46	0	1-2 Year	Yes	52,390	26	106	0
273,212	Female	23	1	37	0	< 1 Year	Yes	36,981	152	105	0
361,526	Male	25	1	50	1	< 1 Year	No	56,567	152	157	0
150,468	Female	33	1	28	0	< 1 Year	No	58,847	152	207	0
97,107	Male	39	1	50	0	1-2 Year	Yes	30,989	18	106	0
146,696	Female	48	1	15	0	1-2 Year	Yes	35,232	26	102	1
40,859	Female	37	1	41	0	1-2 Year	Yes	31,286	124	94	0
131,181	Male	61	1	28	0	1-2 Year	Yes	38,482	26	162	0
493,592	Female	54	1	43	1	1-2 Year	No	34,409	124	229	0
317,546	Male	51	1	41	1	1-2 Year	No	28,491	26	17	0
116,220	Female	32	1	8	0	1-2 Year	Yes	58,327	124	252	1
184,276	Male	68	1	12	1	1-2 Year	No	36,135	26	120	0
489,220	Female	47	1	28	0	1-2 Year	Yes	31,300	26	289	1
41,343	Female	34	1	6	0	1-2 Year	Yes	24,495	124	32	1
250,344	Female	61	1	29	1	1-2 Year	No	22,884	35	284	0
238,911	Female	22	1	15	0	< 1 Year	Yes	49,512	152	277	0
335,937	Male	48	1	28	0	1-2 Year	Yes	49,400	26	20	1
393,286	Female	23	1	41	1	< 1 Year	No	26,867	152	70	0
332,314	Female	23	1	2	1	< 1 Year	No	28,664	152	65	0
293,784	Male	51	1	8	1	1-2 Year	No	55,085	152	52	0
196,703	Male	46	1	28	0	> 2 Years	Yes	2,630	158	66	0
208,278	Male	36	1	46	1	1-2 Year	No	30,101	124	53	0
192,027	Female	25	1	30	1	< 1 Year	No	53,042	152	74	0
286,814	Female	32	1	29	1	< 1 Year	No	36,423	152	161	0
190,199	Male	63	1	8	0	1-2 Year	Yes	42,624	26	129	0
177,714	Female	48	1	14	0	1-2 Year	Yes	41,784	124	265	1
120,898	Female	24	1	8	1	< 1 Year	No	58,948	152	168	0
113,085	Female	40	1	28	0	1-2 Year	Yes	30,727	124	53	0
339,267	Male	46	1	28	0	1-2 Year	Yes	43,958	122	138	0
234,849	Male	41	1	28	0	1-2 Year	Yes	49,377	124	262	0
183,057	Male	58	1	41	0	1-2 Year	Yes	46,187	26	147	0
205,411	Male	21	1	47	0	< 1 Year	No	33,305	160	59	0
63,677	Male	45	1	28	0	1-2 Year	Yes	33,382	124	75	0
336,409	Male	29	1	8	0	1-2 Year	Yes	29,179	154	265	1
414,746	Male	35	1	35	1	1-2 Year	No	2,630	26	164	0
428,193	Male	24	1	28	1	< 1 Year	No	24,440	160	174	0
55,689	Female	39	1	3	0	1-2 Year	Yes	2,630	129	221	0
40,660	Female	27	1	28	0	< 1 Year	Yes	31,112	152	251	1
14,807	Female	73	1	25	0	1-2 Year	Yes	33,355	26	288	0
408,006	Male	43	1	3	1	1-2 Year	No	28,517	124	152	0
10,619	Male	42	1	8	0	1-2 Year	No	38,598	26	190	0
218,642	Female	33	1	3	0	< 1 Year	Yes	24,105	155	44	1
202,217	Male	64	1	28	0	1-2 Year	Yes	29,896	124	280	0
196,560	Male	61	1	50	0	1-2 Year	Yes	36,389	65	104	0
2,053	Male	43	1	28	0	1-2 Year	No	33,372	122	296	0
357,078	Female	56	1	28	0	1-2 Year	Yes	2,630	124	82	1
187,465	Male	40	1	33	0	1-2 Year	Yes	35,207	124	23	1
106,521	Male	56	1	8	1	1-2 Year	Yes	39,268	26	187	0
16,190	Female	37	1	13	0	1-2 Year	No	34,958	124	109	0
498,389	Male	20	1	13	1	< 1 Year	No	2,630	160	199	0
321,983	Male	25	1	8	1	< 1 Year	No	2,630	160	60	0
181,594	Male	60	1	28	0	1-2 Year	Yes	74,519	26	179	0
479,865	Male	42	1	28	1	1-2 Year	No	49,304	124	242	0
173,347	Female	28	1	50	1	< 1 Year	No	18,880	152	155	0
427,275	Male	56	1	6	0	1-2 Year	Yes	38,428	26	132	1
191,722	Male	39	1	28	0	1-2 Year	Yes	33,093	124	228	0
420,421	Female	27	1	28	0	< 1 Year	Yes	48,002	124	154	1
295,380	Female	55	1	10	1	1-2 Year	No	38,704	124	93	0
334,091	Male	61	1	50	0	1-2 Year	Yes	35,738	124	81	1
246,106	Male	21	1	28	0	< 1 Year	Yes	69,279	160	25	0
254,227	Male	30	1	46	1	< 1 Year	No	36,721	160	58	0
94,680	Male	57	1	28	0	1-2 Year	Yes	41,746	122	201	1
295,056	Female	44	1	50	1	1-2 Year	No	40,315	8	153	0
120,959	Female	30	1	33	0	< 1 Year	Yes	37,230	152	125	0
321,476	Male	63	1	28	0	1-2 Year	Yes	41,524	26	37	0
386,107	Male	24	1	8	1	< 1 Year	No	57,175	152	282	0
173,740	Male	51	1	28	0	1-2 Year	Yes	46,987	124	101	0
227,901	Female	57	1	3	1	1-2 Year	No	26,707	122	293	0
369,495	Male	30	1	21	0	1-2 Year	Yes	29,130	26	172	0
322,885	Male	40	1	0	1	1-2 Year	No	2,630	26	100	0
473,519	Male	51	1	41	0	1-2 Year	Yes	29,351	26	288	1
384,145	Male	24	1	37	1	< 1 Year	No	41,301	152	62	0
445,175	Male	31	1	8	1	1-2 Year	No	55,091	124	76	0
157,963	Female	25	1	11	1	< 1 Year	No	23,710	152	172	0
159,892	Female	61	1	28	0	1-2 Year	Yes	40,217	122	81	0
189,011	Male	37	1	47	0	1-2 Year	Yes	36,631	152	132	0
276,957	Male	59	1	28	0	1-2 Year	Yes	21,697	124	103	0
424,134	Female	60	1	41	1	1-2 Year	No	61,887	152	199	0
445,265	Male	51	1	3	1	1-2 Year	No	2,630	124	77	0
381,860	Male	24	1	17	1	< 1 Year	No	28,480	152	175	0
170,857	Female	60	1	3	0	1-2 Year	Yes	28,494	124	73	0
145,646	Female	38	1	7	1	1-2 Year	No	42,756	26	138	0
200,602	Male	23	1	36	1	< 1 Year	No	38,738	152	261	0
247,039	Female	68	1	48	0	1-2 Year	Yes	2,630	26	251	1
71,660	Female	40	1	41	0	1-2 Year	Yes	33,405	124	239	0
24,121	Female	68	1	48	1	1-2 Year	No	2,630	124	113	0
499,420	Male	68	1	33	1	1-2 Year	No	31,309	26	23	0
78,911	Female	21	1	50	0	< 1 Year	Yes	2,630	160	39	0
197,507	Female	25	1	41	1	< 1 Year	No	30,946	152	280	0
499,019	Female	26	1	21	1	< 1 Year	No	2,630	152	161	0
99,979	Female	40	1	8	1	1-2 Year	No	37,567	26	21	0
285,901	Female	24	1	6	1	< 1 Year	No	32,765	152	232	0
348,320	Female	25	1	29	1	< 1 Year	No	30,533	152	152	0
197,484	Male	41	1	41	0	1-2 Year	Yes	27,599	124	144	0

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