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
407,988	Male	58	1	46	1	1-2 Year	No	35,389	124	134	0
371,797	Female	48	1	8	1	1-2 Year	No	2,630	154	166	0
388,871	Male	26	1	41	1	< 1 Year	No	36,428	152	288	0
133,703	Male	57	1	41	0	> 2 Years	Yes	37,758	124	292	0
175,102	Female	26	1	28	1	< 1 Year	No	37,900	152	277	0
93,990	Male	55	1	46	1	1-2 Year	No	25,495	11	130	0
505,749	Male	24	1	13	1	< 1 Year	No	24,708	151	217	0
362,193	Male	62	1	28	1	1-2 Year	No	35,116	26	135	0
439,994	Female	24	1	35	1	< 1 Year	No	28,279	152	49	0
229,733	Female	46	1	35	0	1-2 Year	Yes	33,866	26	239	1
31,156	Male	42	1	46	0	1-2 Year	Yes	45,573	11	224	0
332,462	Male	47	1	11	0	1-2 Year	Yes	35,407	124	57	0
504,185	Female	23	1	30	1	< 1 Year	No	26,795	152	72	0
271,169	Male	21	1	29	1	< 1 Year	No	25,722	152	227	0
126,803	Male	45	1	28	0	1-2 Year	Yes	49,391	26	189	0
188,309	Female	30	1	33	1	< 1 Year	No	34,836	152	216	0
246,422	Female	22	1	30	1	< 1 Year	No	24,798	152	81	0
232,884	Female	23	1	47	1	< 1 Year	No	40,845	152	13	0
287,562	Male	49	1	46	0	1-2 Year	Yes	2,630	156	36	0
211,180	Male	26	1	50	1	< 1 Year	No	41,985	152	179	0
159,811	Male	21	1	46	1	< 1 Year	No	34,109	152	174	0
437,647	Female	43	1	46	0	1-2 Year	Yes	36,917	26	257	1
267,981	Male	45	1	28	1	1-2 Year	No	33,559	124	120	0
65,797	Female	24	1	11	1	< 1 Year	No	20,901	152	249	0
444,026	Female	27	1	28	0	1-2 Year	Yes	34,522	26	20	1
315,548	Male	38	1	41	1	1-2 Year	No	26,486	124	250	0
130,660	Female	54	1	35	1	1-2 Year	No	28,104	124	84	0
282,300	Female	39	1	28	1	1-2 Year	No	40,977	26	288	0
416,791	Female	51	1	3	0	1-2 Year	Yes	26,755	154	238	1
97,402	Male	23	1	41	1	< 1 Year	No	53,782	152	146	0
309,304	Female	66	1	6	0	1-2 Year	Yes	18,355	26	54	0
327,828	Male	71	1	9	0	> 2 Years	Yes	31,068	124	14	0
99,828	Male	26	1	28	1	< 1 Year	No	33,269	152	77	0
322,953	Male	23	1	46	0	< 1 Year	Yes	33,465	26	163	0
226,575	Male	47	1	13	0	1-2 Year	Yes	38,811	26	295	0
237,391	Male	20	1	28	0	1-2 Year	Yes	2,630	156	261	0
364,308	Male	47	1	28	0	1-2 Year	Yes	36,273	26	291	1
321,794	Male	21	1	36	1	< 1 Year	No	50,021	152	203	0
245,837	Female	26	1	11	1	< 1 Year	Yes	2,630	152	55	0
216,676	Male	30	1	28	0	< 1 Year	Yes	34,659	152	128	0
454,584	Male	36	1	27	0	1-2 Year	Yes	2,630	124	124	1
124,230	Male	57	1	28	1	1-2 Year	Yes	41,839	61	227	0
399,207	Male	53	1	15	0	> 2 Years	Yes	33,038	124	93	1
331,677	Male	45	1	28	0	> 2 Years	Yes	36,129	26	84	1
137,848	Male	21	1	8	1	< 1 Year	No	31,387	160	170	0
144,547	Female	21	1	11	0	< 1 Year	Yes	2,630	152	48	0
80,457	Male	33	1	28	0	< 1 Year	Yes	30,390	26	111	1
10,916	Female	23	1	46	1	< 1 Year	No	27,722	152	85	0
71,231	Female	23	1	41	1	< 1 Year	No	37,549	152	285	0
160,177	Female	25	1	10	0	< 1 Year	Yes	23,354	152	68	0
97,011	Male	23	1	46	1	< 1 Year	No	25,660	152	103	0
471,105	Female	26	1	29	1	< 1 Year	No	30,119	152	132	0
341,084	Male	35	1	28	0	1-2 Year	Yes	68,310	124	22	0
348,708	Male	24	1	17	1	< 1 Year	No	31,448	152	24	0
223,344	Male	25	1	47	0	1-2 Year	Yes	39,457	124	42	0
94,527	Female	41	1	8	1	1-2 Year	No	2,630	26	40	0
211,424	Female	38	1	28	0	1-2 Year	Yes	42,171	26	163	1
322,597	Male	39	1	46	0	1-2 Year	Yes	36,077	26	267	1
123,521	Male	23	1	3	1	< 1 Year	No	24,450	152	42	0
85,145	Male	41	1	37	0	1-2 Year	Yes	27,567	124	54	1
279,855	Male	33	1	28	0	1-2 Year	Yes	39,654	122	271	1
191,050	Male	32	1	24	0	1-2 Year	Yes	2,630	157	234	1
484,772	Male	39	1	47	1	1-2 Year	No	21,559	26	69	0
210,734	Male	56	1	28	0	1-2 Year	Yes	45,274	26	47	0
209,986	Male	41	1	28	0	1-2 Year	Yes	44,076	26	213	0
201,280	Male	45	1	28	0	1-2 Year	Yes	39,096	124	180	1
2,446	Female	53	1	8	1	1-2 Year	No	19,461	19	225	0
303,025	Male	25	1	18	1	< 1 Year	No	29,230	152	28	0
34,708	Female	31	1	33	0	< 1 Year	Yes	2,630	152	189	0
118,944	Male	29	1	24	1	1-2 Year	No	17,418	124	127	0
282,979	Female	49	1	28	0	1-2 Year	Yes	48,502	26	84	1
35,853	Female	50	1	28	1	1-2 Year	No	30,287	26	271	0
309,113	Male	41	1	28	0	1-2 Year	Yes	34,312	124	191	0
24,441	Male	22	1	28	1	< 1 Year	No	79,429	152	78	0
392,581	Male	45	1	28	0	1-2 Year	Yes	40,394	124	63	1
441,404	Female	40	1	28	0	1-2 Year	Yes	49,405	13	241	1
427,065	Female	27	1	29	1	< 1 Year	No	24,948	152	63	0
383,603	Male	65	1	46	1	1-2 Year	No	2,630	122	150	0
372,490	Male	22	1	41	0	< 1 Year	Yes	29,493	152	269	0
239,463	Female	27	1	45	1	< 1 Year	No	21,972	152	272	0
138,000	Male	23	1	9	0	< 1 Year	Yes	37,555	26	291	0
481,393	Female	38	1	28	0	> 2 Years	Yes	28,924	124	293	1
77,881	Female	56	1	28	0	1-2 Year	Yes	27,397	26	269	0
101,275	Female	21	1	28	0	< 1 Year	Yes	31,807	124	278	0
213,371	Male	38	1	28	0	1-2 Year	Yes	30,998	26	131	0
186,197	Male	24	1	29	1	< 1 Year	No	36,268	152	207	0
420,894	Male	56	1	28	0	> 2 Years	Yes	34,165	124	109	1
376,310	Male	39	1	36	1	1-2 Year	No	31,792	26	262	0
315,769	Male	23	1	27	0	< 1 Year	Yes	27,621	152	212	0
5,927	Male	23	1	47	1	< 1 Year	No	34,283	152	231	0
126,209	Female	25	1	2	0	< 1 Year	Yes	30,215	152	11	0
126,136	Male	27	1	9	0	< 1 Year	Yes	29,180	152	228	0
64,846	Female	22	1	8	0	< 1 Year	Yes	43,597	152	107	0
35,000	Female	33	1	8	0	< 1 Year	Yes	27,575	152	63	0
14,954	Male	48	1	14	0	1-2 Year	Yes	24,715	124	198	0
343,018	Male	64	1	24	0	1-2 Year	No	25,638	122	287	0
262,534	Male	27	1	30	1	< 1 Year	No	25,111	152	184	0
40,266	Female	25	1	29	1	< 1 Year	No	26,600	152	247	0
77,587	Male	22	1	3	1	< 1 Year	No	38,337	160	74	0
65,843	Male	23	1	36	1	< 1 Year	No	18,218	152	62	0

Subsets and Splits

No community queries yet

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