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
346,587	Male	44	1	3	0	1-2 Year	No	27,329	124	14	0
16,897	Male	51	1	21	0	1-2 Year	Yes	2,630	124	39	0
349,075	Female	41	1	33	1	1-2 Year	No	45,104	152	134	0
320,224	Female	21	1	8	1	< 1 Year	No	44,514	160	250	0
414,608	Male	25	1	17	1	< 1 Year	No	30,568	151	200	0
76,927	Male	29	1	35	1	< 1 Year	No	28,938	152	73	0
272,750	Female	42	1	28	0	1-2 Year	Yes	31,651	124	242	0
419,298	Male	43	1	41	1	1-2 Year	No	33,964	26	129	0
376,718	Male	36	1	35	0	1-2 Year	Yes	41,322	124	107	0
398,632	Male	26	1	41	1	< 1 Year	No	69,865	152	71	0
475,428	Female	45	1	28	0	1-2 Year	Yes	44,493	124	59	1
52,186	Male	42	1	3	0	1-2 Year	Yes	32,084	26	15	1
505,429	Female	28	1	15	1	< 1 Year	No	32,372	152	130	0
128,551	Female	63	1	40	0	1-2 Year	Yes	34,730	26	127	0
442,220	Female	46	1	28	0	> 2 Years	Yes	43,832	26	136	1
270,410	Female	22	1	41	1	< 1 Year	No	24,285	152	82	0
345,277	Female	26	1	27	1	< 1 Year	No	24,191	152	22	0
311,731	Male	20	1	12	1	< 1 Year	No	31,061	160	242	0
277,168	Male	39	1	28	0	1-2 Year	Yes	41,190	124	67	0
376,561	Female	21	1	37	0	< 1 Year	Yes	13,603	160	109	0
42,002	Male	48	1	28	1	1-2 Year	No	52,583	26	226	0
351,713	Male	44	1	8	0	1-2 Year	No	36,228	124	76	0
314,728	Female	67	1	28	0	> 2 Years	Yes	41,235	26	276	0
238,496	Female	25	1	34	1	< 1 Year	No	2,630	152	140	0
29,024	Male	56	1	41	0	1-2 Year	Yes	52,102	26	223	0
464,171	Male	44	1	28	0	1-2 Year	Yes	40,662	124	240	1
477,273	Female	38	1	18	0	1-2 Year	Yes	29,300	124	198	1
147,772	Male	22	1	28	0	1-2 Year	Yes	2,630	124	192	1
11,848	Male	24	1	46	1	< 1 Year	No	40,161	152	282	0
347,348	Male	28	1	15	0	< 1 Year	Yes	2,630	152	19	0
6,393	Female	22	1	30	1	< 1 Year	No	32,940	26	87	0
488,086	Male	35	1	38	0	1-2 Year	Yes	31,016	124	54	1
115,016	Male	61	1	8	0	1-2 Year	No	2,630	26	44	0
213,207	Female	21	1	15	0	< 1 Year	Yes	30,987	152	265	0
80,216	Male	34	1	18	0	1-2 Year	Yes	30,971	152	265	0
199,312	Female	24	1	36	0	< 1 Year	No	2,630	152	60	0
31,510	Female	62	1	46	0	1-2 Year	Yes	47,515	11	147	0
44,835	Female	44	1	11	0	1-2 Year	No	31,094	157	176	0
371,320	Female	21	1	15	0	< 1 Year	No	2,630	152	198	0
115,667	Male	47	1	28	0	1-2 Year	Yes	50,950	124	92	0
212,484	Male	29	1	10	1	< 1 Year	No	29,382	152	223	0
312,702	Male	42	1	15	1	1-2 Year	No	30,496	124	27	0
65,315	Male	22	1	28	0	< 1 Year	Yes	51,304	26	271	0
357,435	Male	26	1	28	1	< 1 Year	No	29,072	152	116	0
251,878	Female	27	1	29	1	< 1 Year	No	25,338	152	71	0
102,475	Male	24	1	21	0	< 1 Year	Yes	43,118	152	237	0
234,467	Male	45	1	43	0	1-2 Year	No	2,630	26	99	0
458,195	Male	22	1	39	1	< 1 Year	No	2,630	152	156	0
277,602	Female	54	1	28	0	1-2 Year	Yes	94,970	26	160	0
372,113	Female	22	1	36	0	1-2 Year	Yes	41,271	163	218	0
357,369	Male	35	1	50	0	1-2 Year	Yes	45,457	26	177	1
111,826	Male	23	1	30	0	< 1 Year	Yes	36,086	152	249	1
399,939	Female	23	1	8	1	< 1 Year	No	27,273	26	166	0
158,438	Female	53	1	47	1	1-2 Year	No	45,791	124	130	0
291,570	Female	58	1	28	0	1-2 Year	Yes	2,630	124	243	0
253,918	Male	57	1	28	0	1-2 Year	Yes	35,109	124	52	1
336,538	Female	21	1	47	0	< 1 Year	Yes	39,408	152	90	0
424,390	Male	55	1	28	0	> 2 Years	Yes	41,838	26	54	1
99,133	Female	35	1	15	1	1-2 Year	No	27,123	152	268	0
292,461	Male	41	1	28	1	1-2 Year	No	53,720	26	203	0
422,787	Male	41	1	0	1	1-2 Year	No	2,630	26	279	0
151,986	Male	48	1	31	0	1-2 Year	Yes	2,630	124	107	0
480,963	Male	41	1	14	0	> 2 Years	Yes	37,778	124	166	1
240,272	Male	31	1	18	0	< 1 Year	Yes	28,598	153	232	0
80,720	Male	79	1	28	1	1-2 Year	No	26,616	26	100	0
252,947	Male	21	1	39	0	1-2 Year	No	34,564	154	219	0
261,928	Male	43	1	28	0	1-2 Year	Yes	34,541	124	220	0
168,959	Male	43	1	8	0	1-2 Year	Yes	35,466	124	215	0
43,481	Male	59	1	24	0	1-2 Year	Yes	37,996	26	98	0
95,021	Male	60	1	28	0	1-2 Year	Yes	51,602	124	259	0
9,790	Female	20	1	15	0	< 1 Year	Yes	29,398	160	289	0
168,925	Female	22	1	39	0	< 1 Year	Yes	31,583	152	187	0
174,916	Male	55	1	28	0	1-2 Year	Yes	37,373	124	166	0
132,396	Female	62	1	28	0	1-2 Year	Yes	39,246	26	20	1
191,947	Male	66	1	0	0	1-2 Year	Yes	2,630	26	34	0
93,485	Male	54	1	41	0	1-2 Year	Yes	24,503	26	127	0
178,697	Female	25	1	28	1	< 1 Year	No	26,054	152	71	0
340,856	Female	26	1	32	1	< 1 Year	No	32,136	152	183	0
355,015	Male	42	1	35	0	> 2 Years	Yes	47,126	124	253	0
213,136	Male	49	1	33	0	1-2 Year	Yes	48,772	125	63	0
43,454	Female	27	1	30	1	< 1 Year	No	28,845	152	188	0
296,250	Male	24	1	36	0	< 1 Year	Yes	2,630	152	22	0
108,981	Male	23	1	26	0	< 1 Year	Yes	32,857	152	67	0
324,866	Male	45	1	28	0	1-2 Year	No	50,474	26	13	0
166,798	Female	22	1	29	1	< 1 Year	No	26,510	152	43	0
348,299	Male	30	1	12	0	< 1 Year	Yes	32,878	124	40	0
415,463	Female	51	1	6	0	1-2 Year	Yes	27,541	26	197	1
424,126	Female	48	1	50	1	1-2 Year	No	29,028	152	114	0
108,184	Male	24	1	37	0	< 1 Year	Yes	25,023	152	101	0
370,686	Female	23	1	47	0	< 1 Year	Yes	35,732	152	101	0
358,565	Male	63	1	48	1	1-2 Year	No	2,630	124	294	0
365,481	Male	25	1	34	0	< 1 Year	Yes	31,430	152	31	0
272,266	Male	21	1	29	0	< 1 Year	Yes	30,785	152	286	0
400,362	Male	24	1	36	1	< 1 Year	No	22,162	152	148	0
29,815	Male	57	1	28	0	1-2 Year	Yes	68,256	124	88	0
431,840	Male	21	1	46	1	< 1 Year	No	24,784	152	87	0
333,349	Female	62	1	28	0	1-2 Year	No	27,412	26	92	0
43,151	Male	54	1	18	0	1-2 Year	Yes	2,630	26	71	0
417,925	Male	29	1	35	1	< 1 Year	No	23,263	152	285	0
339,353	Female	25	1	46	1	< 1 Year	No	22,063	152	74	0

Subsets and Splits

No community queries yet

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