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
392,856	Female	25	1	41	1	< 1 Year	No	29,690	152	188	0
434,013	Female	46	1	28	0	1-2 Year	Yes	28,753	26	176	1
346,358	Female	27	1	21	1	< 1 Year	No	26,973	152	274	0
77,784	Female	53	1	28	1	1-2 Year	No	27,235	26	25	0
109,410	Female	67	1	41	0	1-2 Year	Yes	2,630	157	15	0
437,666	Male	21	1	3	1	< 1 Year	No	28,824	160	162	0
44,283	Female	23	1	46	1	< 1 Year	No	35,579	152	198	0
377,491	Male	61	1	28	0	1-2 Year	Yes	51,425	26	56	0
473,232	Female	36	1	28	0	1-2 Year	Yes	40,233	124	148	1
63,921	Male	60	1	50	1	1-2 Year	No	49,119	8	298	0
315,157	Male	50	1	8	0	1-2 Year	Yes	51,258	26	231	0
76,205	Male	23	1	28	1	< 1 Year	No	48,396	152	126	0
294,124	Female	23	1	46	1	< 1 Year	No	32,754	151	57	0
246,045	Male	59	1	28	0	1-2 Year	Yes	53,769	52	285	0
355,102	Male	42	1	13	0	1-2 Year	Yes	20,534	26	276	0
309,532	Female	24	1	30	1	< 1 Year	No	21,050	152	48	0
164,478	Male	23	1	8	0	< 1 Year	Yes	36,152	152	284	0
228,919	Female	42	1	30	1	1-2 Year	No	28,654	26	41	0
88,040	Female	67	1	29	0	1-2 Year	Yes	61,667	26	107	1
354,500	Male	39	1	48	1	1-2 Year	No	2,630	122	63	0
89,941	Male	37	1	33	0	1-2 Year	Yes	2,630	156	132	0
419,963	Male	55	1	18	0	1-2 Year	Yes	35,001	26	126	1
327,837	Female	25	1	13	1	< 1 Year	No	19,816	152	53	0
232,061	Male	48	1	0	0	1-2 Year	Yes	2,630	122	151	0
324,451	Female	24	1	47	1	< 1 Year	No	2,630	152	242	0
256,761	Male	51	1	43	0	1-2 Year	Yes	26,741	124	95	0
133,850	Female	35	1	36	1	1-2 Year	No	35,150	151	87	0
354,648	Female	35	1	3	0	> 2 Years	Yes	2,630	26	249	0
56,637	Female	22	1	15	0	< 1 Year	Yes	36,074	152	44	0
433,278	Male	49	1	45	0	1-2 Year	Yes	34,449	26	90	1
342,265	Female	25	1	21	1	< 1 Year	No	24,202	152	78	0
479,797	Male	44	1	28	0	1-2 Year	Yes	40,531	26	286	1
273,815	Male	31	1	41	0	1-2 Year	Yes	30,237	124	184	1
193,443	Male	26	1	6	0	< 1 Year	Yes	42,849	152	248	0
372,808	Male	37	1	8	1	1-2 Year	No	30,787	124	21	0
6,710	Male	26	1	15	1	< 1 Year	No	26,268	152	29	0
229,734	Female	27	1	8	1	< 1 Year	No	45,394	152	244	0
65,078	Female	24	1	3	0	< 1 Year	Yes	23,608	26	120	1
165,075	Male	50	1	28	0	> 2 Years	Yes	62,797	26	31	0
50,261	Female	80	1	28	0	1-2 Year	Yes	39,111	26	196	0
325,034	Female	25	1	28	1	< 1 Year	No	54,263	152	233	0
484,906	Female	43	1	47	1	1-2 Year	No	29,666	26	195	0
255,391	Male	25	1	3	1	< 1 Year	No	55,397	152	277	0
168,951	Male	48	1	46	0	1-2 Year	Yes	45,516	26	85	1
43,647	Male	58	1	43	1	1-2 Year	No	25,923	25	30	0
266,070	Male	41	1	39	1	1-2 Year	No	38,066	124	259	0
429,067	Female	56	1	28	1	1-2 Year	No	65,984	26	93	0
19,319	Female	22	1	40	1	< 1 Year	No	29,456	152	144	0
492,543	Male	45	1	8	0	1-2 Year	Yes	44,908	25	291	1
160,695	Female	38	1	46	0	1-2 Year	Yes	30,459	156	173	1
21,110	Male	38	1	35	0	1-2 Year	Yes	33,418	124	42	0
450,696	Male	48	1	28	0	1-2 Year	Yes	37,769	26	30	1
324,706	Female	48	1	30	0	1-2 Year	Yes	30,526	26	249	0
239,602	Male	28	1	41	1	< 1 Year	No	29,373	152	298	0
203,583	Male	54	1	38	0	1-2 Year	Yes	24,732	26	210	0
323,313	Male	31	1	28	0	1-2 Year	Yes	37,560	154	286	1
285,903	Male	42	1	28	1	1-2 Year	No	35,341	124	249	0
25,117	Male	27	1	3	0	< 1 Year	Yes	28,616	152	268	0
390,314	Female	36	1	30	0	1-2 Year	Yes	45,902	26	60	1
124,881	Female	23	1	41	1	< 1 Year	No	28,641	152	58	0
280,798	Female	25	1	2	1	< 1 Year	No	41,492	152	153	0
249,741	Female	76	1	3	0	1-2 Year	Yes	21,458	124	154	0
168,129	Male	78	1	28	0	> 2 Years	Yes	68,526	26	289	1
157,907	Female	21	1	28	0	< 1 Year	Yes	27,776	152	178	0
311,561	Female	23	1	28	0	< 1 Year	Yes	32,069	26	298	0
216,763	Female	22	1	41	1	< 1 Year	No	23,183	152	36	0
353,442	Male	45	1	8	0	1-2 Year	Yes	51,182	124	235	0
113,008	Female	22	1	49	0	< 1 Year	No	2,630	152	167	0
87,006	Male	23	1	8	1	< 1 Year	No	32,386	152	149	0
320,941	Female	26	1	41	1	< 1 Year	No	41,479	152	184	0
219,027	Male	23	1	36	0	< 1 Year	Yes	43,412	152	274	1
273,238	Male	40	1	46	0	1-2 Year	Yes	35,145	93	123	0
8,550	Male	42	1	28	0	1-2 Year	No	41,649	26	19	0
31,530	Female	80	1	50	1	1-2 Year	No	25,387	65	263	0
113,854	Male	65	1	28	1	1-2 Year	No	31,935	26	153	0
57,454	Female	26	1	28	1	< 1 Year	No	40,001	152	93	0
263,078	Female	23	1	7	1	< 1 Year	No	49,232	151	203	0
498,934	Female	25	1	33	1	< 1 Year	No	35,365	152	35	0
496,577	Female	25	1	37	1	< 1 Year	No	40,951	152	32	0
504,706	Male	53	1	43	1	1-2 Year	No	32,952	26	59	0
300,289	Female	26	1	41	1	< 1 Year	No	21,552	152	134	0
348,554	Female	67	1	28	0	1-2 Year	Yes	2,630	124	62	1
92,246	Female	32	1	15	0	< 1 Year	No	38,373	152	162	0
288,434	Female	22	1	33	1	< 1 Year	No	33,032	152	217	0
240,579	Female	35	1	25	0	1-2 Year	No	23,129	152	115	0
406,696	Female	54	1	28	0	1-2 Year	Yes	36,139	26	292	1
11,139	Female	69	1	3	0	1-2 Year	Yes	27,681	124	158	0
185,698	Female	26	1	41	1	< 1 Year	No	27,876	152	156	0
365,201	Female	23	1	30	1	< 1 Year	No	24,745	152	183	0
492,434	Male	24	1	15	1	< 1 Year	No	35,812	152	164	0
453,848	Female	39	1	8	0	1-2 Year	Yes	36,191	7	136	1
20,773	Male	23	1	29	1	< 1 Year	No	28,018	152	145	0
377,596	Male	21	1	46	1	< 1 Year	No	27,657	152	230	0
483,259	Female	37	1	41	1	1-2 Year	No	18,277	26	98	0
173,927	Male	50	1	8	1	1-2 Year	No	2,630	124	185	0
354,599	Female	29	1	11	1	< 1 Year	No	21,357	152	177	0
445,300	Female	21	1	11	1	< 1 Year	No	28,722	160	52	0
342,542	Male	47	1	8	0	1-2 Year	Yes	2,630	157	141	0
310,999	Female	42	1	35	0	1-2 Year	Yes	20,846	154	66	0
106,152	Male	27	1	28	0	< 1 Year	No	57,550	152	59	1

Subsets and Splits

No community queries yet

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