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
421,756	Male	24	1	8	1	< 1 Year	No	39,959	152	202	0
242,448	Female	34	1	28	0	1-2 Year	Yes	30,600	124	190	0
462,727	Female	42	1	28	0	1-2 Year	Yes	23,683	42	273	1
129,314	Female	24	1	6	1	< 1 Year	No	32,278	152	267	0
333,357	Female	24	1	33	1	< 1 Year	No	25,868	152	271	0
146,394	Female	34	1	30	0	1-2 Year	Yes	23,803	152	83	0
6	Female	24	1	33	0	< 1 Year	Yes	2,630	160	176	0
124,556	Male	34	1	12	0	1-2 Year	No	2,630	157	229	0
437,902	Male	23	1	8	1	< 1 Year	No	27,433	160	192	0
141,968	Male	70	1	46	0	1-2 Year	Yes	26,841	122	128	1
367,747	Female	24	1	5	0	< 1 Year	No	32,348	152	288	0
116,366	Male	23	1	13	1	< 1 Year	No	31,907	152	246	0
200,707	Male	37	1	28	1	1-2 Year	No	2,630	24	122	0
319,829	Male	24	1	43	1	< 1 Year	No	29,815	152	31	0
402,813	Male	20	1	46	1	< 1 Year	No	23,453	160	106	0
56,668	Male	53	1	28	0	> 2 Years	Yes	45,714	122	82	0
492,279	Female	24	1	28	1	< 1 Year	No	50,058	152	241	0
90,093	Male	53	1	28	1	1-2 Year	No	55,908	26	83	0
195,493	Female	48	1	28	0	1-2 Year	Yes	31,298	157	156	0
96,619	Female	57	1	8	0	1-2 Year	Yes	34,824	124	106	1
230,736	Female	38	1	28	0	1-2 Year	Yes	34,229	124	127	1
144,149	Female	22	1	26	0	< 1 Year	Yes	24,612	152	12	0
365,495	Male	38	1	30	0	1-2 Year	Yes	24,687	152	213	1
15,755	Female	21	1	30	0	< 1 Year	Yes	2,630	160	213	0
477,356	Male	27	1	28	1	< 1 Year	No	50,196	152	73	0
175,500	Female	21	1	10	1	< 1 Year	No	25,746	152	201	0
299,374	Female	51	1	46	0	1-2 Year	Yes	25,904	124	92	1
59,417	Female	28	1	28	1	< 1 Year	No	44,574	152	237	0
166,560	Female	26	1	46	1	< 1 Year	No	26,775	152	165	0
459,752	Male	21	1	37	1	< 1 Year	No	29,040	152	158	0
105,344	Female	22	1	41	1	< 1 Year	No	29,219	160	142	0
219,382	Male	52	1	41	0	> 2 Years	Yes	29,661	124	158	0
271,807	Male	41	1	28	0	1-2 Year	Yes	2,630	124	251	1
87,299	Male	42	1	39	0	1-2 Year	Yes	28,528	163	16	1
4,747	Female	27	1	21	1	< 1 Year	No	33,517	152	285	0
321,338	Male	25	1	8	0	< 1 Year	Yes	34,745	152	89	1
404,901	Female	23	1	30	1	< 1 Year	No	28,987	152	177	0
272,352	Female	24	1	2	1	< 1 Year	No	41,475	152	10	0
85,991	Male	26	1	22	1	< 1 Year	No	36,308	152	195	0
421,602	Male	48	1	1	1	1-2 Year	No	2,630	124	10	0
111,837	Female	70	1	28	0	1-2 Year	Yes	58,124	52	153	0
205,021	Female	49	1	48	0	1-2 Year	Yes	2,630	31	241	0
246,047	Male	38	1	3	0	1-2 Year	Yes	37,603	124	167	0
347,987	Female	23	1	9	1	< 1 Year	No	43,113	152	212	0
209,033	Female	32	1	37	0	< 1 Year	No	30,027	152	89	0
167,648	Female	21	1	36	1	< 1 Year	No	32,876	152	238	0
277,204	Male	23	1	29	1	< 1 Year	No	17,305	152	57	0
468,280	Female	53	1	41	1	1-2 Year	No	31,792	152	63	0
400,666	Male	47	1	38	0	1-2 Year	Yes	31,562	26	19	1
58,678	Male	42	1	28	0	1-2 Year	Yes	35,024	60	208	0
409,075	Female	28	1	28	1	< 1 Year	No	44,423	152	261	0
482,963	Female	42	1	28	0	1-2 Year	Yes	51,499	124	278	1
317,387	Male	48	1	8	0	1-2 Year	Yes	51,629	26	153	1
429,684	Male	36	1	41	1	1-2 Year	No	2,630	152	175	0
381,867	Male	40	1	50	1	1-2 Year	No	43,684	26	92	0
241,770	Male	61	1	48	0	> 2 Years	Yes	2,630	124	290	0
316,257	Male	51	1	33	0	1-2 Year	Yes	30,252	26	234	0
284,123	Male	28	1	8	1	< 1 Year	No	134,022	152	106	0
235,870	Female	23	1	46	1	< 1 Year	No	26,504	152	128	0
113,006	Male	24	1	31	0	< 1 Year	No	2,630	152	239	0
416,636	Female	23	1	45	1	< 1 Year	No	24,906	151	44	0
284,308	Female	25	1	16	1	< 1 Year	No	25,747	152	54	0
126,693	Male	27	1	40	0	< 1 Year	Yes	32,659	26	297	0
181,852	Female	29	1	41	1	< 1 Year	No	36,867	152	60	0
168,194	Male	34	1	18	0	1-2 Year	No	22,653	124	158	1
284,716	Female	23	1	28	0	1-2 Year	Yes	2,630	157	219	1
349,114	Female	34	1	28	1	1-2 Year	No	56,450	124	102	0
251,744	Male	22	1	18	0	< 1 Year	Yes	2,630	160	252	0
264,657	Male	61	1	52	0	1-2 Year	Yes	37,777	26	234	0
24,428	Female	51	1	28	0	1-2 Year	Yes	40,514	26	184	0
62,137	Female	58	1	8	0	1-2 Year	Yes	44,783	26	261	0
182,485	Male	43	1	8	1	1-2 Year	No	43,972	124	175	0
333,855	Male	38	1	29	0	1-2 Year	Yes	30,392	155	270	1
355,765	Male	42	1	8	0	1-2 Year	Yes	35,553	124	256	0
482,205	Male	35	1	35	0	1-2 Year	Yes	21,500	124	48	1
34,605	Female	24	1	46	1	< 1 Year	No	28,867	160	51	0
80,405	Male	27	1	12	0	< 1 Year	Yes	34,038	124	172	1
263,155	Male	24	1	8	1	< 1 Year	No	37,969	151	60	0
46,581	Male	52	1	28	0	1-2 Year	Yes	26,455	26	247	1
220,962	Female	24	1	28	1	< 1 Year	No	47,876	26	269	0
464,802	Female	27	1	3	1	< 1 Year	No	18,006	152	162	0
264,018	Male	60	1	19	0	1-2 Year	Yes	34,515	26	19	0
498,305	Male	39	1	3	0	1-2 Year	Yes	34,541	124	132	1
64,854	Female	35	1	29	0	1-2 Year	Yes	39,519	124	286	1
19,322	Male	33	1	3	1	< 1 Year	No	2,630	160	190	0
79,450	Male	25	1	15	1	< 1 Year	No	29,082	152	282	0
149,992	Female	24	1	27	0	< 1 Year	No	2,630	151	35	0
500,191	Female	22	1	46	1	< 1 Year	No	24,877	152	83	0
124,026	Male	28	1	36	1	< 1 Year	No	74,671	152	267	0
278,923	Female	58	1	3	0	> 2 Years	Yes	22,455	155	37	0
423,424	Female	39	1	28	0	1-2 Year	Yes	51,077	13	272	1
73,704	Female	32	1	10	0	< 1 Year	No	24,448	152	49	0
45,468	Female	46	1	28	1	1-2 Year	No	42,394	26	147	0
233,452	Male	42	1	9	1	1-2 Year	No	29,608	152	228	0
163,589	Male	23	1	28	1	< 1 Year	No	53,538	152	60	0
141,798	Male	42	1	28	1	1-2 Year	No	33,647	26	292	0
146,650	Male	71	1	27	1	1-2 Year	No	24,218	124	135	0
150,709	Male	76	1	35	0	1-2 Year	Yes	24,297	26	45	0
213,679	Male	61	1	28	1	1-2 Year	No	68,803	26	44	0
374,038	Female	42	1	8	1	1-2 Year	No	40,189	120	110	0

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