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
217,217	Male	35	1	29	0	1-2 Year	Yes	2,630	156	81	0
131,467	Male	75	1	28	0	1-2 Year	Yes	2,630	122	230	0
273,303	Female	49	1	12	0	1-2 Year	Yes	35,575	26	182	0
222,620	Female	59	1	28	0	1-2 Year	Yes	56,557	26	123	1
313,945	Male	69	1	8	0	1-2 Year	Yes	60,588	7	282	0
223,567	Male	43	1	28	1	1-2 Year	No	26,884	124	122	0
386,190	Male	54	1	30	0	> 2 Years	Yes	30,117	124	216	1
30,656	Female	45	1	17	0	1-2 Year	Yes	30,493	124	178	0
395,781	Female	22	1	13	1	< 1 Year	No	37,065	152	41	0
248,974	Male	55	1	8	0	1-2 Year	Yes	43,361	124	56	0
317,640	Male	28	1	41	1	< 1 Year	No	29,075	152	22	0
381,237	Male	28	1	8	1	< 1 Year	No	36,920	152	24	0
186,092	Female	42	1	11	0	1-2 Year	Yes	24,290	109	48	0
57,996	Female	33	1	39	0	1-2 Year	Yes	2,630	157	293	1
132,683	Female	56	1	28	0	1-2 Year	No	31,580	26	109	0
211,716	Female	43	1	52	0	1-2 Year	Yes	37,905	122	237	1
379,754	Female	22	1	47	1	< 1 Year	No	21,486	152	241	0
451,881	Female	44	1	28	0	1-2 Year	Yes	43,490	124	18	1
448,686	Male	26	1	41	1	< 1 Year	No	34,971	152	231	0
317,153	Female	51	1	24	0	1-2 Year	Yes	2,630	154	248	0
369,706	Female	21	1	28	1	< 1 Year	No	31,176	152	212	0
117,471	Male	22	1	8	0	< 1 Year	No	35,907	152	44	0
8,655	Male	40	1	3	0	1-2 Year	No	25,848	124	132	0
115,706	Male	45	1	28	0	1-2 Year	Yes	27,967	124	133	0
245,240	Female	53	1	28	0	1-2 Year	Yes	44,250	26	36	0
195,674	Male	46	1	28	0	1-2 Year	Yes	42,244	122	14	1
337,982	Male	50	1	28	0	> 2 Years	Yes	74,292	26	263	1
81,383	Female	48	1	28	0	1-2 Year	Yes	41,882	26	299	1
378,164	Female	36	1	8	0	1-2 Year	Yes	42,869	152	242	0
146,201	Female	36	1	36	0	1-2 Year	Yes	33,720	160	189	0
191,655	Male	21	1	15	1	< 1 Year	No	44,065	152	181	0
425,909	Male	61	1	46	1	1-2 Year	No	38,054	11	182	0
387,913	Female	25	1	46	1	< 1 Year	No	41,690	152	134	0
183,804	Female	43	1	28	0	> 2 Years	Yes	31,241	26	223	1
158,269	Male	64	1	3	1	1-2 Year	No	38,917	26	56	0
174,163	Male	51	1	12	0	1-2 Year	No	43,201	20	132	0
123,462	Female	49	1	39	1	1-2 Year	No	32,240	124	146	0
267,223	Female	26	1	29	1	< 1 Year	No	33,844	152	184	0
71,277	Female	68	1	28	1	1-2 Year	No	33,637	124	228	0
151,071	Female	55	1	5	0	1-2 Year	Yes	2,630	26	153	1
8,830	Male	52	1	11	0	1-2 Year	Yes	2,630	157	18	1
323,384	Female	24	1	6	1	< 1 Year	No	31,965	152	227	0
197,621	Male	24	1	11	1	< 1 Year	No	38,361	152	144	0
261,997	Female	27	1	8	1	< 1 Year	No	30,138	152	63	0
61,109	Male	35	1	2	0	1-2 Year	Yes	40,454	26	54	0
157,616	Female	26	1	3	0	1-2 Year	Yes	2,630	156	154	1
117,981	Female	62	1	28	0	1-2 Year	Yes	43,016	26	177	1
371,300	Male	63	1	23	0	1-2 Year	Yes	22,349	124	33	0
218,311	Male	24	1	8	1	< 1 Year	No	39,271	152	56	0
117,922	Female	21	1	41	0	< 1 Year	Yes	2,630	152	241	0
92,578	Male	24	1	30	1	< 1 Year	No	25,024	152	14	0
385,739	Female	36	1	15	1	1-2 Year	No	2,630	152	29	0
438,708	Female	24	1	46	1	< 1 Year	No	20,187	152	193	0
346,127	Male	25	1	28	1	< 1 Year	No	31,594	152	109	0
425,356	Female	22	1	47	1	< 1 Year	No	22,652	152	146	0
110,600	Male	27	1	6	0	< 1 Year	Yes	2,630	156	245	0
29,533	Male	40	1	8	0	1-2 Year	Yes	34,007	154	110	0
127,642	Female	23	1	8	1	< 1 Year	No	30,962	152	277	0
109,118	Female	33	1	30	0	< 1 Year	Yes	2,630	124	240	0
49,639	Female	40	1	18	0	1-2 Year	Yes	2,630	156	184	0
195,604	Male	24	1	15	1	< 1 Year	No	2,630	151	257	0
165,216	Male	57	1	45	0	1-2 Year	Yes	27,977	26	244	0
429,980	Male	40	1	11	0	1-2 Year	Yes	2,630	124	229	1
484,608	Male	47	1	28	0	1-2 Year	Yes	41,765	26	124	1
457,039	Male	58	1	34	1	1-2 Year	No	35,446	26	156	0
158,053	Male	39	1	28	0	1-2 Year	Yes	38,087	26	240	1
349,195	Male	80	1	11	1	1-2 Year	No	29,536	124	238	0
186,633	Female	41	1	28	0	1-2 Year	Yes	35,355	124	210	0
336,668	Male	37	1	28	0	1-2 Year	Yes	38,289	154	145	0
446,736	Female	51	1	11	0	1-2 Year	Yes	26,638	124	252	1
207,079	Male	61	1	28	0	> 2 Years	Yes	31,685	26	226	0
17,861	Male	46	1	28	0	1-2 Year	Yes	27,331	125	268	0
298,725	Female	23	1	46	1	< 1 Year	No	32,935	152	57	0
361,536	Female	38	1	28	0	1-2 Year	Yes	32,113	26	206	0
218,348	Female	54	1	4	0	1-2 Year	No	2,630	124	87	0
131,064	Male	58	1	28	0	> 2 Years	Yes	35,848	26	123	1
344,825	Female	40	1	39	0	1-2 Year	Yes	42,334	26	191	0
427,980	Male	39	1	8	0	1-2 Year	Yes	39,962	124	294	1
479,018	Male	42	1	46	0	1-2 Year	Yes	2,630	157	200	1
360,433	Male	23	1	32	0	< 1 Year	Yes	29,244	160	184	0
148,799	Female	25	1	4	1	< 1 Year	No	26,046	152	218	0
158,235	Female	21	1	43	1	< 1 Year	No	21,699	152	91	0
99,203	Male	33	1	28	0	< 1 Year	Yes	59,339	124	107	0
409,596	Female	22	1	46	1	< 1 Year	No	35,260	152	108	0
69,618	Male	32	1	20	0	1-2 Year	Yes	2,630	157	289	0
293,555	Female	21	1	50	0	< 1 Year	Yes	42,288	152	210	0
211,422	Male	45	1	28	0	1-2 Year	Yes	23,549	26	125	0
179,961	Male	23	1	2	1	< 1 Year	No	37,513	151	38	0
129,950	Male	50	1	15	0	1-2 Year	Yes	2,630	157	241	0
172,429	Male	22	1	28	1	< 1 Year	No	47,932	156	111	0
99,881	Male	21	1	47	0	< 1 Year	Yes	32,512	152	288	0
168,731	Male	57	1	28	0	1-2 Year	Yes	25,058	163	93	0
398,601	Female	23	1	33	1	< 1 Year	No	27,680	152	49	0
44,582	Male	25	1	11	1	< 1 Year	No	2,630	152	22	0
62,554	Female	43	1	28	0	1-2 Year	Yes	30,135	26	278	0
391,489	Female	78	1	8	1	1-2 Year	No	57,518	122	136	0
342,863	Female	41	1	28	0	> 2 Years	Yes	44,083	26	175	1
193,126	Male	26	1	12	1	< 1 Year	No	2,630	152	38	0
178,871	Male	58	1	41	0	1-2 Year	Yes	43,440	26	187	0
491,742	Male	50	1	28	0	1-2 Year	Yes	49,753	26	225	1

Subsets and Splits

No community queries yet

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