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
181,019	Male	57	1	11	0	> 2 Years	Yes	2,630	124	282	0
37,969	Female	22	1	28	0	< 1 Year	Yes	64,869	152	119	0
436,696	Female	30	1	8	1	< 1 Year	No	37,064	152	98	0
43,644	Male	31	1	3	1	< 1 Year	No	28,183	152	12	0
408,058	Female	50	1	28	0	1-2 Year	Yes	59,825	26	83	1
89,547	Female	24	1	11	1	< 1 Year	No	40,602	152	176	0
332,426	Male	35	1	28	0	1-2 Year	Yes	71,643	124	291	0
86,248	Female	26	1	30	1	< 1 Year	No	29,455	152	153	0
441,502	Female	39	1	15	1	1-2 Year	No	36,170	152	207	0
265,259	Male	53	1	46	0	1-2 Year	Yes	19,337	26	54	0
472,667	Male	26	1	28	1	< 1 Year	No	44,297	152	225	0
453,857	Female	21	1	15	1	< 1 Year	Yes	41,786	160	252	0
242,191	Male	57	1	28	1	1-2 Year	No	38,263	26	47	0
124,795	Male	25	1	11	1	< 1 Year	No	29,783	160	132	0
243,407	Female	27	1	29	1	< 1 Year	No	37,734	152	215	0
59,241	Male	25	1	4	1	< 1 Year	No	2,630	152	30	0
57,243	Male	22	1	36	0	< 1 Year	Yes	2,630	152	167	0
73,393	Male	59	1	28	0	1-2 Year	Yes	49,807	26	83	0
10,815	Female	23	1	21	0	< 1 Year	No	27,873	152	210	0
176,522	Male	63	1	35	1	1-2 Year	No	38,246	26	39	0
406,797	Female	24	1	8	1	< 1 Year	No	39,626	152	59	0
271,071	Male	62	1	3	1	1-2 Year	No	25,280	30	166	0
354,888	Male	65	1	8	1	1-2 Year	Yes	2,630	124	120	0
37,523	Female	28	1	3	0	1-2 Year	Yes	20,150	124	291	1
61,929	Male	24	1	8	1	< 1 Year	No	57,452	152	121	0
5,679	Male	24	1	47	0	< 1 Year	Yes	48,149	152	207	0
198,110	Male	40	1	46	0	1-2 Year	Yes	29,109	124	278	1
101,043	Female	41	1	15	1	1-2 Year	No	30,373	124	97	0
326,312	Female	62	1	10	1	1-2 Year	No	38,578	26	203	0
36,748	Male	40	1	8	0	1-2 Year	Yes	34,994	26	126	1
352,361	Female	25	1	14	1	< 1 Year	No	34,640	152	277	0
118,819	Female	22	1	49	0	< 1 Year	No	24,924	152	127	0
2,460	Male	45	1	28	0	1-2 Year	Yes	45,337	26	50	0
62,202	Male	21	1	13	0	< 1 Year	Yes	34,322	160	142	1
318,492	Male	38	1	28	1	1-2 Year	No	39,895	61	148	0
283,605	Male	29	1	46	1	< 1 Year	No	32,037	152	182	0
294,061	Male	33	1	27	0	1-2 Year	Yes	22,726	163	121	1
203,432	Female	26	1	28	1	< 1 Year	Yes	2,630	160	263	0
224,697	Female	46	1	28	0	1-2 Year	Yes	2,630	156	130	0
2,833	Female	21	1	36	1	< 1 Year	No	28,878	160	23	0
479,864	Male	23	1	23	1	< 1 Year	No	24,651	152	290	0
207,936	Female	25	1	46	1	1-2 Year	No	25,663	124	37	0
202,209	Male	42	1	28	1	1-2 Year	No	40,211	26	255	0
1,095	Female	24	1	50	1	< 1 Year	No	26,717	152	296	0
232,269	Female	29	1	49	1	< 1 Year	No	29,627	152	117	0
459,130	Female	46	1	3	1	1-2 Year	No	42,948	124	110	0
45,690	Male	31	1	28	0	1-2 Year	Yes	2,630	156	192	0
174,980	Male	25	1	28	0	< 1 Year	Yes	57,481	152	33	1
158,113	Male	36	1	15	0	1-2 Year	Yes	31,713	124	87	0
309,834	Male	21	1	2	1	< 1 Year	No	30,031	160	47	0
196,528	Female	54	1	50	1	1-2 Year	No	41,703	124	234	0
223,630	Male	30	1	16	1	< 1 Year	No	25,410	152	184	0
222,343	Female	51	1	48	0	1-2 Year	Yes	2,630	26	282	0
121,586	Male	44	1	28	0	1-2 Year	Yes	36,847	26	249	0
24,983	Female	47	1	8	1	1-2 Year	No	34,673	124	291	0
164,253	Female	33	1	46	0	< 1 Year	Yes	47,982	26	259	1
84,896	Female	26	1	18	0	< 1 Year	Yes	26,197	152	213	0
105,073	Female	29	1	30	1	< 1 Year	No	28,586	152	73	0
500,533	Male	39	1	46	0	1-2 Year	Yes	2,630	156	43	1
86,958	Female	23	1	2	1	< 1 Year	No	23,075	152	287	0
369,988	Male	46	1	28	0	> 2 Years	Yes	38,527	124	56	1
136,954	Male	28	1	3	0	1-2 Year	Yes	2,630	156	47	0
79,621	Female	80	1	47	0	> 2 Years	Yes	33,396	26	260	0
245,180	Female	24	1	37	0	< 1 Year	Yes	32,033	26	294	0
110,424	Male	50	1	11	1	1-2 Year	No	30,827	124	35	0
15,562	Female	34	1	41	1	1-2 Year	No	54,586	152	146	0
201,843	Male	49	1	28	0	> 2 Years	Yes	46,144	124	147	0
3,187	Male	28	1	48	0	< 1 Year	No	2,630	152	66	0
259,637	Female	25	1	32	0	< 1 Year	Yes	24,085	152	170	0
80,153	Female	24	1	6	1	< 1 Year	No	2,630	152	173	0
38,865	Female	28	1	41	1	< 1 Year	No	58,521	152	55	0
37,369	Male	43	1	21	1	1-2 Year	No	30,771	26	293	0
58,235	Male	23	1	50	0	< 1 Year	No	24,639	152	233	0
255,151	Female	24	1	28	0	< 1 Year	No	44,514	152	50	0
212,441	Female	51	1	35	0	1-2 Year	Yes	2,630	156	98	1
224,933	Male	50	1	28	0	> 2 Years	Yes	36,329	26	113	0
52,531	Female	59	1	3	1	1-2 Year	No	31,096	124	221	0
381,551	Female	40	1	46	0	1-2 Year	Yes	29,457	156	34	1
17,177	Male	24	1	41	1	< 1 Year	No	23,763	152	100	0
274,826	Male	27	1	45	1	< 1 Year	No	29,316	152	250	0
323,642	Female	25	1	32	1	< 1 Year	No	19,495	152	142	0
142,803	Male	65	1	8	0	> 2 Years	Yes	25,147	124	211	0
339,968	Male	34	1	3	0	1-2 Year	Yes	2,630	157	154	0
267,309	Female	22	1	24	0	< 1 Year	Yes	22,549	152	60	0
308,749	Male	28	1	45	1	< 1 Year	No	34,084	152	268	0
153,609	Female	53	1	40	1	1-2 Year	Yes	31,766	26	136	0
174,022	Female	51	1	28	0	1-2 Year	Yes	45,077	26	184	0
424,968	Male	51	1	36	0	> 2 Years	Yes	2,630	26	292	1
427,815	Female	21	1	46	1	< 1 Year	No	23,002	160	11	0
301,011	Male	47	1	41	1	1-2 Year	Yes	50,667	124	176	0
359,957	Male	26	1	8	1	< 1 Year	No	50,626	152	163	0
141,255	Female	51	1	45	0	1-2 Year	Yes	26,541	160	36	0
254,780	Male	21	1	24	1	< 1 Year	No	2,630	152	132	0
384,459	Male	66	1	30	1	1-2 Year	No	29,670	26	225	0
485,053	Female	22	1	29	1	< 1 Year	No	45,597	152	294	0
42,878	Male	50	1	6	0	1-2 Year	Yes	29,776	124	292	0
32,076	Male	27	1	24	0	< 1 Year	No	38,826	152	156	0
435,894	Male	46	1	8	0	1-2 Year	Yes	44,368	124	119	1
236,938	Male	55	1	28	0	1-2 Year	Yes	66,043	124	240	0
179,079	Male	63	1	48	0	1-2 Year	No	2,630	26	17	0

Subsets and Splits

No community queries yet

The top public SQL queries from the community will appear here once available.