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
33,873	Male	62	1	28	1	1-2 Year	No	47,946	124	47	0
322,798	Female	27	1	21	1	< 1 Year	No	21,742	152	226	0
131,644	Female	26	1	30	1	< 1 Year	No	24,967	152	97	0
74,744	Male	67	1	50	1	1-2 Year	No	35,247	18	108	0
18,699	Male	44	1	15	1	1-2 Year	No	27,285	124	127	0
172,207	Female	29	1	23	1	< 1 Year	No	29,744	152	139	0
124,684	Female	22	1	46	1	< 1 Year	No	19,313	152	157	0
388,821	Male	43	1	28	0	1-2 Year	Yes	42,009	26	166	1
186,646	Male	22	1	28	0	< 1 Year	Yes	49,379	154	129	0
31,401	Male	49	1	11	0	1-2 Year	Yes	22,559	22	184	1
214,097	Female	37	1	36	0	1-2 Year	Yes	2,630	26	99	0
129,791	Male	42	1	28	0	1-2 Year	Yes	60,559	29	64	0
24,536	Male	22	1	30	1	< 1 Year	No	34,623	152	139	0
1,484	Female	24	1	39	1	< 1 Year	No	29,911	152	107	0
461,566	Male	65	1	24	1	1-2 Year	No	27,399	122	141	0
246,713	Female	32	1	45	1	1-2 Year	No	26,491	154	282	0
245,028	Female	58	1	9	0	1-2 Year	Yes	40,183	152	64	0
301,443	Female	47	1	28	0	1-2 Year	Yes	33,747	124	239	0
121,285	Female	25	1	27	0	< 1 Year	Yes	27,929	152	90	1
399,240	Male	44	1	28	0	1-2 Year	Yes	26,574	163	144	1
299,020	Male	68	1	33	1	1-2 Year	No	32,585	124	272	0
273,611	Male	22	1	2	1	< 1 Year	No	21,216	160	104	0
108,577	Female	46	1	28	0	1-2 Year	Yes	38,607	24	64	1
453,332	Female	25	1	46	1	< 1 Year	No	22,958	152	84	0
193,245	Male	40	1	50	0	1-2 Year	Yes	20,377	154	57	1
40,958	Female	37	1	28	0	1-2 Year	Yes	40,501	122	164	0
98,858	Female	22	1	30	1	< 1 Year	No	33,902	152	270	0
108,444	Male	32	1	11	0	1-2 Year	No	17,510	26	200	0
354,693	Female	21	1	8	1	< 1 Year	No	46,344	160	109	0
265,089	Male	46	1	28	1	1-2 Year	No	30,580	26	144	0
338,793	Female	45	1	28	0	1-2 Year	Yes	37,259	122	41	0
296,179	Female	45	1	45	0	1-2 Year	Yes	44,569	25	205	0
32,709	Female	35	1	41	0	1-2 Year	Yes	2,630	160	192	0
308,543	Male	39	1	4	1	1-2 Year	No	31,753	26	65	0
433,434	Male	58	1	46	1	1-2 Year	No	38,648	124	116	0
330,599	Male	48	1	28	0	1-2 Year	Yes	2,630	157	234	0
298,480	Female	57	1	28	0	1-2 Year	No	26,902	26	78	0
83,266	Female	46	1	48	1	1-2 Year	No	2,630	124	209	0
172,141	Male	50	1	50	0	1-2 Year	Yes	52,453	30	195	0
75,058	Male	21	1	41	1	< 1 Year	No	34,331	156	264	0
63,538	Male	24	1	9	1	< 1 Year	No	37,034	152	228	0
107,357	Male	47	1	28	0	> 2 Years	Yes	2,630	124	265	1
352,772	Male	64	1	29	0	1-2 Year	Yes	30,129	26	52	0
388,022	Male	39	1	28	0	1-2 Year	Yes	42,270	26	299	1
330,488	Male	23	1	41	1	< 1 Year	No	26,075	26	34	0
96,573	Female	46	1	28	0	1-2 Year	Yes	41,860	26	180	0
46,766	Female	30	1	47	0	< 1 Year	Yes	36,445	152	122	0
131,094	Male	74	1	43	0	1-2 Year	No	28,171	124	97	0
440,575	Male	39	1	32	0	1-2 Year	Yes	2,630	26	108	1
396,860	Female	31	1	32	1	< 1 Year	No	2,630	152	229	0
180,482	Female	23	1	41	1	< 1 Year	No	32,294	152	20	0
432,490	Male	35	1	28	0	1-2 Year	Yes	46,896	124	263	1
228,193	Male	29	1	8	1	< 1 Year	No	31,516	152	120	0
317,155	Female	25	1	29	1	< 1 Year	No	29,752	151	27	0
124,095	Female	32	1	41	0	< 1 Year	Yes	22,929	124	187	1
318,212	Male	20	1	43	1	< 1 Year	No	26,422	160	181	0
366,097	Male	24	1	28	1	< 1 Year	No	50,273	152	18	0
336,064	Male	51	1	18	0	1-2 Year	Yes	35,327	124	197	0
313,796	Male	55	1	3	1	1-2 Year	No	26,420	26	35	0
424,032	Male	80	1	3	1	1-2 Year	No	23,933	26	247	0
164,881	Female	25	1	8	1	< 1 Year	No	47,210	152	145	0
86,912	Male	47	1	28	1	1-2 Year	No	24,519	122	165	0
377,638	Male	59	1	28	0	> 2 Years	Yes	2,630	54	230	0
278,268	Male	40	1	28	0	> 2 Years	Yes	50,978	26	128	0
73,710	Male	50	1	21	0	1-2 Year	Yes	30,107	26	288	0
71,236	Male	21	1	3	1	< 1 Year	No	20,685	160	280	0
11,690	Male	27	1	28	0	< 1 Year	Yes	35,469	152	176	0
384,489	Female	34	1	8	1	1-2 Year	No	28,720	152	69	0
498,470	Male	42	1	47	1	1-2 Year	No	29,301	16	171	0
169,768	Female	50	1	0	1	1-2 Year	No	2,630	45	195	0
464,864	Female	22	1	8	1	< 1 Year	No	33,862	152	211	0
494,822	Female	22	1	11	1	< 1 Year	No	30,984	152	30	0
432,115	Female	25	1	30	1	< 1 Year	No	22,099	152	213	0
130,437	Female	20	1	17	1	< 1 Year	No	48,557	160	203	0
364,147	Male	33	1	23	0	< 1 Year	Yes	2,630	152	217	1
299,215	Male	48	1	41	0	1-2 Year	Yes	41,657	26	60	0
4,689	Male	29	1	28	1	< 1 Year	No	29,254	152	223	0
56,572	Male	23	1	28	0	< 1 Year	Yes	68,724	152	233	0
134,228	Male	58	1	46	0	1-2 Year	Yes	50,085	26	299	1
81,981	Female	21	1	10	1	< 1 Year	No	33,186	152	39	0
118,615	Male	33	1	28	1	1-2 Year	No	29,619	26	29	0
10,986	Male	24	1	3	0	< 1 Year	Yes	22,188	152	99	0
34,351	Female	25	1	39	0	< 1 Year	Yes	26,157	152	208	0
285,145	Female	24	1	41	1	< 1 Year	No	52,705	152	10	0
467,058	Male	44	1	28	1	1-2 Year	No	37,684	26	201	0
455,469	Female	34	1	9	1	1-2 Year	No	2,630	152	291	0
154,652	Male	20	1	47	0	< 1 Year	Yes	36,175	160	59	0
432,896	Male	37	1	28	0	1-2 Year	Yes	40,377	26	260	1
234,020	Female	24	1	14	1	< 1 Year	No	35,101	152	93	0
299,905	Male	42	1	28	0	1-2 Year	Yes	38,651	122	189	0
12,760	Male	26	1	46	0	< 1 Year	Yes	27,633	152	243	0
466,983	Male	40	1	10	1	1-2 Year	No	2,630	152	125	0
380,018	Male	54	1	28	0	1-2 Year	Yes	53,941	26	243	1
115,009	Male	21	1	27	1	< 1 Year	Yes	2,630	160	78	0
239,653	Male	39	1	15	0	1-2 Year	Yes	25,594	156	176	0
189,183	Male	24	1	41	1	< 1 Year	No	57,670	152	285	0
270,069	Female	78	1	37	0	1-2 Year	Yes	38,723	26	299	1
257,099	Female	52	1	39	1	1-2 Year	No	30,023	124	284	0
102,247	Male	22	1	9	0	< 1 Year	Yes	30,245	152	142	0
453,104	Male	41	1	9	1	1-2 Year	No	35,499	26	196	0

Subsets and Splits

No community queries yet

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