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
371,849	Male	30	1	9	1	1-2 Year	No	23,999	26	216	0
2,216	Male	23	1	41	1	< 1 Year	No	40,072	152	223	0
268,639	Male	23	1	8	0	< 1 Year	Yes	57,565	152	99	0
495,509	Male	22	1	50	1	< 1 Year	No	44,465	152	119	0
441,415	Male	51	1	35	0	> 2 Years	Yes	2,630	26	144	1
462,658	Female	38	1	50	1	1-2 Year	No	28,774	124	268	0
410,868	Male	52	1	13	1	1-2 Year	No	25,483	124	11	0
307,410	Male	30	1	28	0	< 1 Year	Yes	39,588	124	215	1
396,619	Male	75	1	3	1	1-2 Year	No	34,035	26	261	0
200,129	Female	48	1	28	0	1-2 Year	Yes	26,790	154	58	0
184,688	Male	59	1	28	0	1-2 Year	Yes	25,514	156	94	0
28,307	Male	22	1	30	1	< 1 Year	No	29,214	152	50	0
456,798	Male	40	1	12	1	1-2 Year	No	32,595	152	34	0
244,369	Female	39	1	28	1	1-2 Year	No	25,227	124	168	0
96,318	Male	48	1	5	0	1-2 Year	Yes	24,156	124	104	0
502,985	Female	25	1	34	1	< 1 Year	No	32,069	152	233	0
252,598	Female	63	1	28	1	1-2 Year	No	42,396	26	21	0
200,427	Male	62	1	39	1	1-2 Year	Yes	31,434	26	208	0
14,186	Female	25	1	28	1	< 1 Year	No	35,789	152	14	0
281,016	Male	38	1	28	0	1-2 Year	Yes	34,111	157	195	1
269,526	Female	42	1	28	0	1-2 Year	Yes	37,760	26	198	0
51,434	Female	44	1	28	0	> 2 Years	Yes	43,225	26	235	0
341,586	Male	25	1	28	1	< 1 Year	No	70,410	152	256	0
203,330	Female	23	1	50	0	1-2 Year	Yes	27,380	124	269	0
206,193	Male	60	1	28	0	1-2 Year	Yes	66,862	24	296	0
304,517	Female	26	1	41	1	< 1 Year	No	29,233	152	163	0
101,028	Female	40	1	8	1	1-2 Year	No	21,554	160	72	0
122,963	Male	48	1	46	0	1-2 Year	Yes	35,183	124	223	0
128,512	Female	51	1	47	0	1-2 Year	No	27,490	16	254	0
116,190	Female	30	1	34	1	< 1 Year	No	2,630	152	33	0
199,904	Female	55	1	28	0	1-2 Year	Yes	29,770	55	162	0
502,732	Female	29	1	10	1	< 1 Year	No	28,160	151	13	0
26,746	Female	76	1	28	0	1-2 Year	Yes	32,727	26	96	0
16,273	Male	50	1	8	0	1-2 Year	Yes	24,895	26	192	1
43,813	Male	36	1	16	0	1-2 Year	Yes	27,028	152	279	0
62,669	Male	58	1	4	1	1-2 Year	No	2,630	26	35	0
48,397	Female	40	1	14	1	1-2 Year	Yes	22,193	122	110	0
143,432	Male	24	1	11	1	< 1 Year	No	31,467	152	166	0
486,349	Male	44	1	28	0	1-2 Year	Yes	2,630	157	236	1
256,167	Male	29	1	30	0	< 1 Year	No	23,212	152	221	0
178,538	Male	40	1	27	0	< 1 Year	No	2,630	1	68	0
249,236	Female	27	1	28	1	< 1 Year	No	40,352	152	45	0
357,300	Female	28	1	28	0	1-2 Year	Yes	51,753	124	162	0
254,814	Female	21	1	15	0	< 1 Year	Yes	26,662	152	270	0
100,754	Male	31	1	35	1	< 1 Year	No	36,956	152	49	0
378,032	Male	25	1	6	1	< 1 Year	No	19,955	152	107	0
440,250	Male	22	1	30	1	< 1 Year	No	29,289	152	269	0
353,160	Female	50	1	28	0	1-2 Year	Yes	2,630	124	142	1
197,737	Female	39	1	48	1	1-2 Year	No	2,630	124	223	0
907	Male	44	1	28	0	1-2 Year	Yes	35,482	26	59	0
206,089	Female	33	1	46	0	1-2 Year	Yes	24,061	155	216	1
175,935	Male	49	1	39	0	1-2 Year	Yes	33,064	124	200	0
312,964	Male	46	1	29	0	> 2 Years	Yes	39,116	26	282	1
410,215	Male	42	1	33	1	1-2 Year	No	31,323	35	56	0
175,150	Male	42	1	3	0	1-2 Year	Yes	15,414	124	213	1
367,588	Female	26	1	36	1	< 1 Year	No	40,178	152	74	0
26,805	Male	25	1	45	1	1-2 Year	No	29,284	124	35	0
202,128	Male	33	1	28	1	1-2 Year	No	25,353	156	165	0
470,744	Female	23	1	39	1	< 1 Year	No	30,556	152	163	0
159,796	Male	41	1	11	0	1-2 Year	Yes	2,630	124	248	1
22,835	Male	21	1	15	0	< 1 Year	No	41,437	160	48	0
242,386	Female	39	1	28	0	1-2 Year	No	39,013	26	111	0
17,746	Female	25	1	46	1	< 1 Year	No	23,370	152	252	0
125,061	Male	23	1	8	1	< 1 Year	No	40,949	160	17	0
178,501	Female	59	1	47	0	1-2 Year	Yes	2,630	156	294	0
169,980	Male	27	1	50	1	< 1 Year	No	26,255	152	118	0
405,118	Female	55	1	28	0	> 2 Years	Yes	35,309	26	71	1
211,949	Female	21	1	28	0	< 1 Year	Yes	45,372	152	247	0
91,371	Male	42	1	8	0	1-2 Year	Yes	47,053	26	32	1
137,463	Female	29	1	41	0	< 1 Year	Yes	2,630	152	174	0
194,454	Female	30	1	28	0	< 1 Year	Yes	32,525	152	125	0
162,939	Male	41	1	41	1	1-2 Year	No	37,973	26	176	0
55,513	Female	22	1	6	1	< 1 Year	No	39,011	152	299	0
183,722	Female	25	1	10	1	< 1 Year	No	28,701	152	78	0
493,707	Female	22	1	46	1	< 1 Year	No	26,787	26	200	0
252,266	Female	48	1	28	0	> 2 Years	Yes	35,948	122	245	0
69,909	Female	42	1	33	0	> 2 Years	Yes	36,154	124	123	0
15,465	Male	24	1	28	0	< 1 Year	Yes	34,584	152	36	0
353,192	Female	24	1	41	1	< 1 Year	No	24,074	152	82	0
271,386	Male	50	1	8	0	1-2 Year	Yes	32,688	26	235	0
364,320	Male	59	1	28	0	1-2 Year	No	66,237	124	30	0
307,336	Female	31	1	35	0	1-2 Year	Yes	59,255	154	61	1
275,524	Female	26	1	8	1	< 1 Year	No	33,247	152	133	0
367,743	Male	27	1	11	1	< 1 Year	No	27,363	152	53	0
423,001	Female	23	1	45	1	< 1 Year	No	27,112	152	218	0
304,018	Female	44	1	3	0	1-2 Year	Yes	19,463	26	212	1
115,315	Female	42	1	28	0	1-2 Year	Yes	44,849	124	99	0
302,754	Male	55	1	28	0	1-2 Year	Yes	2,630	156	26	0
266,469	Male	28	1	28	1	< 1 Year	No	30,289	152	275	0
292,539	Male	44	1	14	0	1-2 Year	Yes	35,176	124	214	0
11,038	Female	25	1	3	1	< 1 Year	No	25,123	152	12	0
27,463	Male	24	1	15	1	< 1 Year	No	33,042	152	137	0
487,854	Female	49	1	18	1	1-2 Year	No	31,612	26	187	0
102,902	Female	49	1	46	1	1-2 Year	No	2,630	26	12	0
129,427	Female	27	1	39	1	< 1 Year	No	2,630	152	168	0
438,560	Male	48	1	46	0	1-2 Year	Yes	22,471	124	165	1
323,265	Female	40	1	25	1	1-2 Year	Yes	30,524	152	48	0
332,752	Male	70	1	46	1	1-2 Year	No	28,473	124	235	0
474,483	Male	43	1	28	0	1-2 Year	Yes	37,167	124	122	1
299,689	Male	26	1	17	1	< 1 Year	No	49,941	152	202	0

Subsets and Splits

No community queries yet

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