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
137,571	Male	24	1	28	1	< 1 Year	Yes	48,301	152	96	0
105,343	Male	21	1	40	0	< 1 Year	Yes	34,820	124	217	0
142,463	Male	27	1	28	1	< 1 Year	No	35,267	152	114	0
85,227	Male	45	1	28	0	1-2 Year	No	67,396	26	37	0
212,631	Female	51	1	28	0	1-2 Year	Yes	39,224	157	53	1
181,089	Female	38	1	33	0	1-2 Year	Yes	30,235	154	281	0
166,883	Female	45	1	47	1	1-2 Year	No	40,515	16	140	0
373,778	Male	67	1	8	1	1-2 Year	No	2,630	25	95	0
319,907	Male	52	1	28	0	1-2 Year	Yes	46,545	26	241	1
394,777	Male	24	1	22	1	< 1 Year	No	29,317	151	178	0
366,246	Female	21	1	3	0	< 1 Year	Yes	27,204	160	111	0
411,944	Female	74	1	12	1	1-2 Year	No	26,654	26	155	0
74,378	Male	28	1	36	0	< 1 Year	Yes	26,859	152	238	0
253,846	Female	24	1	15	0	< 1 Year	Yes	37,490	151	146	0
271,779	Male	24	1	15	0	< 1 Year	Yes	33,145	152	24	0
208,386	Female	22	1	7	1	< 1 Year	No	33,604	152	202	0
23,187	Male	28	1	11	1	< 1 Year	No	30,804	152	105	0
453,046	Male	40	1	33	0	1-2 Year	Yes	25,208	124	13	1
201,965	Male	23	1	30	1	< 1 Year	No	27,330	152	93	0
377,102	Male	21	1	15	0	< 1 Year	Yes	43,209	160	208	0
476,465	Male	36	1	38	0	1-2 Year	Yes	33,188	26	59	1
176,009	Female	34	1	46	1	1-2 Year	No	27,180	124	13	0
187,428	Female	24	1	39	0	< 1 Year	Yes	39,669	152	61	0
324,157	Female	78	1	28	1	1-2 Year	No	50,656	26	254	0
373,647	Male	38	1	37	0	1-2 Year	Yes	29,995	152	136	0
75,825	Male	26	1	28	0	1-2 Year	Yes	240,809	156	286	1
405,318	Male	44	1	0	1	1-2 Year	No	2,630	122	253	0
221,992	Male	35	1	46	0	1-2 Year	Yes	2,630	160	214	0
80,236	Male	23	1	21	1	< 1 Year	No	26,935	152	226	0
2,485	Male	40	1	50	0	1-2 Year	Yes	18,559	124	124	0
176,959	Female	55	1	47	0	1-2 Year	Yes	37,008	26	282	0
141,289	Male	55	1	11	1	1-2 Year	No	29,460	26	180	0
285,038	Male	42	1	43	0	1-2 Year	Yes	53,720	124	47	0
147,172	Male	43	1	29	0	1-2 Year	Yes	32,382	124	194	1
42,507	Male	27	1	40	0	1-2 Year	Yes	36,219	26	282	0
126,120	Female	22	1	30	1	< 1 Year	No	30,013	152	78	0
360,170	Female	24	1	15	0	< 1 Year	Yes	38,184	152	40	0
206,839	Male	39	1	28	1	1-2 Year	Yes	28,797	124	144	1
130,277	Male	59	1	28	0	1-2 Year	Yes	56,046	124	275	0
171,251	Female	62	1	28	0	1-2 Year	Yes	2,630	124	28	0
21,968	Female	25	1	41	1	< 1 Year	No	34,660	152	135	0
306,669	Male	43	1	35	0	1-2 Year	Yes	30,589	26	291	0
364,016	Female	24	1	25	1	< 1 Year	No	29,151	152	212	0
198,387	Female	24	1	8	1	< 1 Year	No	22,993	152	146	0
242,346	Female	25	1	9	0	< 1 Year	Yes	24,062	152	87	0
173,647	Female	40	1	27	0	1-2 Year	Yes	2,630	154	216	0
149,109	Female	53	1	41	1	1-2 Year	No	33,424	124	28	0
93,726	Male	22	1	29	1	< 1 Year	No	35,746	152	262	0
499,842	Female	49	1	11	1	1-2 Year	No	29,010	152	128	0
327,888	Male	43	1	28	0	1-2 Year	Yes	85,315	30	140	0
59,901	Female	35	1	36	1	1-2 Year	No	32,280	152	176	0
183,270	Female	33	1	30	1	1-2 Year	No	25,416	122	24	0
344,580	Female	68	1	12	0	1-2 Year	Yes	15,459	26	222	0
243,272	Female	64	1	29	0	1-2 Year	No	2,630	124	98	0
60,490	Male	36	1	8	0	1-2 Year	Yes	36,833	154	104	1
270,528	Female	25	1	18	0	< 1 Year	Yes	28,587	152	72	0
392,528	Male	41	1	28	0	1-2 Year	Yes	29,757	124	66	1
101,571	Female	26	1	41	1	< 1 Year	No	29,617	152	226	0
209,939	Female	41	1	8	0	1-2 Year	Yes	28,945	26	270	0
56,410	Male	66	1	28	0	> 2 Years	Yes	2,630	156	47	0
157,602	Male	58	1	45	0	1-2 Year	Yes	31,368	124	268	1
260,299	Male	34	1	15	0	1-2 Year	Yes	2,630	156	189	0
340,596	Male	40	1	50	1	1-2 Year	No	23,073	157	230	0
356,015	Male	73	1	36	1	1-2 Year	No	37,275	26	86	0
119,840	Female	32	1	33	1	< 1 Year	No	26,799	152	169	0
481,786	Male	60	1	45	1	1-2 Year	No	25,259	124	81	0
122,470	Male	43	1	8	0	1-2 Year	Yes	41,670	154	185	0
378,777	Male	23	1	33	1	< 1 Year	No	33,107	152	125	0
244,290	Male	24	1	15	0	< 1 Year	No	29,791	152	66	0
9,023	Female	44	1	28	1	1-2 Year	No	31,507	26	244	0
217,808	Male	60	1	28	1	1-2 Year	No	38,323	13	257	0
35,350	Male	23	1	12	1	< 1 Year	No	25,796	152	23	0
504,969	Male	28	1	41	1	< 1 Year	No	29,987	152	241	0
373,255	Female	28	1	19	1	< 1 Year	No	2,630	152	195	0
238,285	Male	45	1	8	0	1-2 Year	Yes	40,231	26	263	0
366,049	Male	58	0	8	1	1-2 Year	No	39,599	124	167	0
290,432	Female	42	1	8	1	1-2 Year	No	24,200	7	22	0
154,479	Female	23	1	36	0	< 1 Year	Yes	31,421	152	200	0
383,845	Male	22	1	46	1	< 1 Year	No	28,986	160	293	0
307,840	Female	67	1	28	1	1-2 Year	No	50,263	26	180	0
93,791	Female	25	1	28	0	< 1 Year	Yes	43,412	124	206	0
463,078	Male	42	1	30	1	1-2 Year	No	38,547	26	102	0
388,133	Female	22	1	21	1	< 1 Year	No	41,701	152	95	0
129,996	Male	57	1	28	1	1-2 Year	No	38,280	124	49	0
487,365	Female	45	1	39	0	1-2 Year	Yes	32,100	26	17	1
275,167	Male	22	1	50	1	< 1 Year	No	29,102	152	250	0
363,355	Male	26	1	6	1	< 1 Year	No	28,729	152	234	0
366,479	Female	24	1	12	1	< 1 Year	No	32,192	152	157	0
368,415	Male	51	1	39	0	1-2 Year	Yes	39,077	124	225	0
63,249	Female	20	1	27	0	< 1 Year	Yes	25,727	124	182	0
187,654	Female	24	1	36	1	< 1 Year	No	34,198	152	222	0
126,954	Female	78	1	28	0	1-2 Year	Yes	44,410	26	196	0
468,395	Male	42	1	8	1	1-2 Year	No	33,318	26	29	0
23,451	Female	24	1	41	0	< 1 Year	Yes	37,628	152	103	1
474,900	Male	33	1	47	0	1-2 Year	Yes	30,217	124	45	1
187,081	Female	42	1	36	0	1-2 Year	Yes	34,187	156	274	1
297,288	Female	23	1	41	1	< 1 Year	No	37,872	152	204	0
319,231	Male	28	1	41	1	< 1 Year	No	47,786	152	273	0
287,256	Male	26	1	28	1	< 1 Year	No	33,296	152	45	0
338,560	Female	21	1	29	0	< 1 Year	Yes	38,254	152	165	0

Subsets and Splits

No community queries yet

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