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
419,590	Female	46	1	28	0	1-2 Year	Yes	36,985	124	52	1
349,000	Male	43	1	8	0	1-2 Year	Yes	31,967	26	231	0
379,119	Female	29	1	18	0	1-2 Year	Yes	32,920	26	283	0
376,853	Male	55	1	28	0	1-2 Year	Yes	52,878	26	62	0
322,719	Male	69	1	3	0	1-2 Year	Yes	40,639	3	98	0
119,011	Male	28	1	14	1	< 1 Year	No	37,389	152	95	0
173,945	Male	22	1	33	1	< 1 Year	No	30,151	152	290	0
244,762	Male	22	1	10	1	< 1 Year	No	31,974	152	28	0
260,786	Male	63	1	3	0	1-2 Year	Yes	2,630	26	275	0
84,844	Male	70	1	47	0	> 2 Years	Yes	39,342	26	259	0
401,445	Female	45	1	28	0	1-2 Year	Yes	64,119	26	271	1
148,527	Male	23	1	27	0	< 1 Year	No	30,642	152	110	0
244,677	Female	62	1	28	0	1-2 Year	Yes	40,272	158	135	0
488,206	Female	23	1	11	1	< 1 Year	No	25,695	152	137	0
284,165	Female	43	1	28	0	1-2 Year	Yes	48,203	124	241	0
264,341	Female	22	1	4	0	< 1 Year	Yes	34,723	152	115	0
305,428	Female	50	1	29	0	1-2 Year	Yes	2,630	157	158	0
372,900	Male	22	1	39	1	< 1 Year	No	36,850	152	241	0
356,364	Male	40	1	41	0	1-2 Year	Yes	34,504	26	33	1
220,864	Male	26	1	28	0	< 1 Year	Yes	42,940	152	157	0
194,378	Male	57	1	28	0	1-2 Year	No	31,957	60	79	0
364,148	Female	23	1	46	1	< 1 Year	No	26,346	152	122	0
345,446	Female	24	1	11	0	< 1 Year	Yes	33,357	152	215	0
489,824	Female	25	1	37	1	< 1 Year	No	27,047	152	150	0
250,195	Male	25	1	41	1	< 1 Year	No	32,307	152	62	0
493,617	Male	25	1	33	1	< 1 Year	No	32,814	152	237	0
150,778	Female	27	1	10	1	< 1 Year	No	19,742	152	160	0
325,769	Male	47	1	37	0	1-2 Year	Yes	42,437	26	95	1
63,805	Male	37	1	3	0	1-2 Year	Yes	50,642	26	293	0
181,427	Female	20	1	46	1	< 1 Year	No	21,943	160	161	0
320,408	Male	35	1	47	0	1-2 Year	Yes	31,048	124	231	0
180,931	Female	61	1	35	1	1-2 Year	No	34,300	26	223	0
165,118	Male	24	1	8	1	< 1 Year	No	29,875	152	276	0
301,086	Female	42	1	8	1	1-2 Year	No	40,026	26	165	0
296,706	Female	48	1	28	1	1-2 Year	No	41,861	52	273	0
345,965	Female	53	1	3	0	1-2 Year	Yes	33,323	26	243	0
243,601	Male	44	1	28	0	1-2 Year	Yes	69,856	124	54	0
18,389	Female	27	1	45	1	< 1 Year	No	19,060	152	132	0
274,364	Female	61	1	28	0	1-2 Year	Yes	53,738	124	118	0
118,197	Female	50	1	35	1	1-2 Year	No	38,047	122	19	0
82	Female	28	1	28	1	< 1 Year	No	38,529	152	235	0
95,543	Male	66	1	30	0	1-2 Year	Yes	37,036	26	276	1
39,978	Female	51	1	28	0	1-2 Year	Yes	33,825	122	90	1
97,274	Male	51	1	46	1	1-2 Year	No	68,760	26	292	0
197,933	Male	63	1	28	0	> 2 Years	Yes	35,299	26	34	1
146,975	Male	38	1	45	0	1-2 Year	Yes	32,172	124	103	0
35,505	Female	22	1	8	1	< 1 Year	No	62,028	152	139	0
281,553	Male	38	1	37	0	1-2 Year	Yes	2,630	124	147	0
6,100	Male	29	1	30	1	< 1 Year	No	30,711	151	266	0
66,592	Female	45	1	8	0	1-2 Year	Yes	41,405	124	166	0
191,869	Male	54	1	3	1	1-2 Year	No	2,630	124	20	0
372,369	Male	21	1	15	0	< 1 Year	Yes	34,912	160	227	0
187,793	Female	26	1	46	1	< 1 Year	No	23,910	152	76	0
356,006	Male	60	1	28	0	1-2 Year	Yes	52,613	26	245	0
5,847	Female	37	1	28	0	1-2 Year	No	32,009	124	17	0
442,548	Female	22	1	41	1	< 1 Year	No	37,477	152	216	0
179,236	Female	71	1	28	0	1-2 Year	Yes	40,289	157	53	1
303,699	Male	42	1	48	0	1-2 Year	Yes	2,630	124	215	0
369,914	Male	59	1	28	0	> 2 Years	Yes	56,859	122	254	0
449,636	Female	39	1	28	1	1-2 Year	No	45,340	122	23	0
456,578	Male	63	1	28	1	1-2 Year	No	2,630	26	149	0
487,621	Female	25	1	15	1	< 1 Year	No	41,646	152	232	0
50,203	Male	36	1	8	0	1-2 Year	Yes	39,906	124	101	1
126,672	Male	39	1	50	1	1-2 Year	No	38,783	8	182	0
63,952	Female	28	1	35	1	< 1 Year	No	22,221	152	243	0
316,891	Female	59	1	8	0	1-2 Year	Yes	32,576	124	160	0
165,593	Female	32	1	15	1	< 1 Year	No	2,630	152	289	0
321,616	Male	29	1	32	0	< 1 Year	Yes	34,354	152	120	0
187,858	Female	27	1	28	1	< 1 Year	No	29,390	152	122	0
254,469	Male	61	1	41	0	1-2 Year	Yes	30,038	124	22	0
291,017	Male	38	1	8	0	1-2 Year	Yes	53,134	124	285	0
296,343	Female	22	1	11	1	< 1 Year	No	18,857	152	272	0
124,839	Female	22	1	15	0	< 1 Year	Yes	35,477	160	48	0
177,322	Male	63	0	28	0	1-2 Year	Yes	59,880	122	139	0
36,672	Female	62	1	28	1	1-2 Year	No	41,514	26	115	0
45,052	Male	28	1	2	1	< 1 Year	No	30,512	152	16	0
287,063	Female	45	1	8	0	1-2 Year	Yes	33,179	124	268	0
5,828	Male	26	1	15	1	< 1 Year	No	29,533	152	232	0
246,360	Female	20	1	36	0	< 1 Year	Yes	37,186	160	19	0
396,236	Female	25	1	14	1	< 1 Year	No	34,677	152	115	0
198,093	Male	23	1	15	1	< 1 Year	No	27,273	152	292	0
277,634	Male	53	1	38	0	1-2 Year	Yes	38,796	124	74	0
162,845	Male	24	1	30	1	< 1 Year	No	31,538	152	237	0
98,765	Female	49	1	6	1	1-2 Year	No	26,067	152	113	0
367,057	Male	32	1	39	1	1-2 Year	No	29,119	124	284	0
74,082	Male	25	1	49	1	< 1 Year	No	44,722	152	85	0
138,796	Male	39	1	28	1	1-2 Year	Yes	57,349	26	48	0
235,098	Female	22	1	8	1	< 1 Year	No	46,396	152	37	0
37,862	Female	24	1	6	1	< 1 Year	No	20,786	152	105	0
458,696	Female	26	1	16	1	< 1 Year	No	25,249	152	92	0
125,399	Female	25	1	46	1	< 1 Year	No	26,758	152	296	0
274,739	Male	58	1	1	0	1-2 Year	Yes	2,630	124	218	0
352,788	Male	29	1	8	1	< 1 Year	No	2,630	152	10	0
76,463	Male	36	1	28	0	1-2 Year	Yes	28,951	26	191	1
61,540	Male	36	1	28	1	1-2 Year	No	51,004	124	84	0
313,952	Male	43	1	46	0	1-2 Year	Yes	28,615	154	80	0
217,229	Male	49	1	28	1	1-2 Year	No	40,292	124	11	0
475,491	Female	35	1	28	1	1-2 Year	No	29,022	26	73	0
334,810	Male	38	1	28	1	1-2 Year	No	45,444	124	24	0
240,082	Male	62	1	28	1	1-2 Year	No	33,485	24	138	0

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