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
190,320	Male	37	1	41	0	< 1 Year	Yes	39,046	124	252	1
216,798	Female	52	1	39	0	1-2 Year	Yes	2,630	124	246	0
162,898	Female	78	1	28	1	1-2 Year	No	57,994	26	89	0
265,608	Female	46	1	28	0	1-2 Year	Yes	49,443	124	222	0
265,216	Female	51	1	28	0	1-2 Year	Yes	33,372	124	34	1
434,685	Male	48	1	35	1	1-2 Year	No	27,441	10	220	0
472,088	Female	28	1	12	0	1-2 Year	Yes	28,831	124	146	1
376,664	Female	60	1	28	0	1-2 Year	Yes	52,009	26	160	0
93,701	Female	65	1	11	1	1-2 Year	No	2,630	120	113	0
338,749	Female	23	1	8	1	< 1 Year	No	24,822	152	258	0
278,178	Male	71	1	28	1	1-2 Year	No	56,666	122	43	0
119,737	Male	24	1	9	1	< 1 Year	No	34,564	152	213	0
310,644	Male	32	1	46	0	1-2 Year	Yes	24,492	26	251	0
340,413	Female	21	1	37	0	< 1 Year	Yes	26,131	160	294	0
286,331	Male	73	1	35	1	1-2 Year	No	42,954	152	61	0
257,154	Male	64	1	8	0	1-2 Year	Yes	52,620	26	295	1
107,492	Female	25	1	12	0	< 1 Year	Yes	2,630	160	286	0
22,582	Male	37	1	28	1	1-2 Year	No	58,488	26	240	0
295,833	Male	52	1	28	0	1-2 Year	Yes	33,350	26	282	0
96,066	Female	50	1	41	1	1-2 Year	No	42,012	12	233	0
114,362	Female	23	1	8	0	< 1 Year	Yes	35,479	152	224	0
17,711	Male	44	0	48	0	1-2 Year	Yes	2,630	124	30	0
341,864	Female	51	1	28	0	1-2 Year	Yes	55,659	26	269	1
105,429	Male	24	1	33	1	< 1 Year	No	2,630	160	182	0
345,542	Male	51	1	28	1	1-2 Year	No	38,059	124	86	0
180,357	Female	65	1	27	1	1-2 Year	No	26,404	124	203	0
208,860	Female	67	1	41	1	1-2 Year	No	33,256	26	212	0
213,243	Male	40	1	28	1	1-2 Year	Yes	46,740	26	40	0
230,447	Male	59	1	2	1	1-2 Year	No	17,581	26	94	0
331,471	Female	42	1	36	1	1-2 Year	No	44,400	152	40	0
321,434	Male	60	1	33	0	1-2 Year	No	34,797	124	240	0
128,706	Female	21	1	40	0	< 1 Year	Yes	35,438	160	280	0
168,068	Male	43	1	39	0	1-2 Year	Yes	2,630	156	271	0
58,171	Male	43	1	28	0	1-2 Year	Yes	55,450	25	26	0
363,415	Female	64	1	28	0	1-2 Year	Yes	41,473	124	25	0
233,935	Male	66	1	33	1	1-2 Year	No	36,008	124	265	0
293,521	Female	26	1	14	1	< 1 Year	No	27,091	152	153	0
69,629	Male	78	1	8	0	1-2 Year	Yes	31,480	124	15	0
94,249	Female	28	1	11	1	< 1 Year	No	2,630	152	280	0
358,188	Male	31	1	8	0	1-2 Year	No	70,480	124	277	0
136,624	Male	64	1	28	0	1-2 Year	Yes	43,661	122	98	0
150,340	Female	22	1	21	1	< 1 Year	No	22,706	152	219	0
378,204	Male	43	1	28	0	1-2 Year	Yes	39,732	52	43	1
322,555	Female	24	1	28	1	< 1 Year	No	25,652	160	65	0
281,018	Male	24	1	6	1	< 1 Year	No	39,890	152	257	0
398,892	Female	54	1	28	0	1-2 Year	Yes	31,817	26	213	1
349,138	Male	57	1	12	0	1-2 Year	Yes	27,426	157	229	1
34,079	Female	53	1	46	0	1-2 Year	Yes	2,630	156	167	1
25,725	Male	63	1	28	0	< 1 Year	Yes	34,944	124	244	0
135,350	Female	31	1	37	1	< 1 Year	No	27,760	152	137	0
356,116	Male	31	1	47	1	< 1 Year	No	43,972	152	210	0
18,466	Female	24	1	50	0	< 1 Year	Yes	35,117	152	53	0
184,387	Female	22	1	13	1	< 1 Year	No	25,720	152	46	0
215,040	Male	42	1	28	0	1-2 Year	Yes	31,488	61	13	1
314,409	Male	43	1	46	0	1-2 Year	Yes	28,058	26	280	0
288,799	Female	56	1	28	1	1-2 Year	No	291,169	26	94	0
101,280	Female	41	1	28	1	1-2 Year	No	32,811	156	263	0
374,917	Female	25	1	7	1	< 1 Year	No	53,378	152	243	0
76,407	Male	53	1	28	0	1-2 Year	No	51,221	122	221	0
78,941	Female	38	1	28	0	> 2 Years	Yes	39,582	124	209	1
3,174	Female	40	1	50	0	1-2 Year	Yes	23,052	26	186	0
65,344	Female	21	1	39	1	< 1 Year	No	46,317	152	167	0
425,138	Female	24	1	41	1	< 1 Year	No	47,080	152	73	0
41,882	Male	29	1	43	1	< 1 Year	No	21,098	152	39	0
504,656	Male	20	1	44	1	< 1 Year	No	40,786	160	36	0
496,291	Female	27	1	14	1	< 1 Year	No	19,015	152	172	0
336,695	Female	33	1	28	0	< 1 Year	Yes	2,630	152	67	0
276,528	Male	43	1	46	0	1-2 Year	Yes	27,731	4	203	1
126,930	Male	64	1	41	0	> 2 Years	Yes	97,823	26	255	0
451,434	Male	78	1	26	1	1-2 Year	No	37,359	22	130	0
8,498	Male	53	1	28	0	> 2 Years	Yes	33,762	39	67	0
408,892	Female	47	1	15	0	> 2 Years	Yes	31,504	124	155	1
19,366	Male	26	1	29	0	< 1 Year	Yes	25,126	154	63	1
8,511	Male	23	1	50	0	< 1 Year	No	22,573	152	15	0
385,574	Female	21	1	36	1	< 1 Year	No	32,430	152	250	0
19,770	Female	59	1	28	0	> 2 Years	Yes	54,224	3	299	0
371,476	Female	35	1	36	1	1-2 Year	No	32,572	152	184	0
328,238	Male	28	1	8	1	< 1 Year	No	40,944	152	180	0
422,567	Male	25	1	28	1	< 1 Year	No	32,229	152	240	0
117,069	Female	23	1	8	1	< 1 Year	No	23,239	160	147	0
364,268	Male	24	1	11	1	< 1 Year	No	29,079	152	52	0
283,166	Female	65	1	46	0	1-2 Year	Yes	26,284	124	173	0
55,492	Female	25	1	35	1	< 1 Year	No	31,318	152	288	0
416,606	Male	22	1	8	1	< 1 Year	No	29,431	160	237	0
241,413	Male	70	1	8	0	1-2 Year	Yes	2,630	124	124	0
324,920	Female	22	1	17	1	< 1 Year	No	36,244	152	279	0
351,814	Male	43	1	2	0	1-2 Year	Yes	30,661	26	79	0
480,021	Male	77	1	46	1	1-2 Year	No	24,210	26	206	0
469,711	Female	63	1	28	1	1-2 Year	No	32,805	26	154	0
412,871	Male	33	1	28	1	1-2 Year	No	64,669	8	265	0
347,482	Female	26	1	30	1	< 1 Year	No	37,823	152	219	0
46,886	Female	22	1	28	0	< 1 Year	Yes	48,147	26	226	0
488,536	Female	53	1	28	0	> 2 Years	Yes	30,209	31	292	1
93,867	Male	48	1	18	0	1-2 Year	Yes	24,199	124	286	0
239,314	Female	64	1	21	0	1-2 Year	Yes	35,640	26	246	0
50,522	Male	66	1	33	1	1-2 Year	No	31,623	26	265	0
198,821	Male	26	1	17	1	< 1 Year	No	41,385	152	66	0
234,198	Male	29	1	30	1	< 1 Year	No	2,630	152	185	0
171,911	Female	22	1	30	1	< 1 Year	No	20,919	152	116	0
183,731	Female	50	1	28	0	1-2 Year	Yes	46,134	124	217	0

Subsets and Splits

No community queries yet

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