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
326,555	Male	31	1	29	1	< 1 Year	No	2,630	152	45	0
21,905	Male	60	1	28	0	1-2 Year	Yes	41,801	154	127	0
101,316	Female	46	1	28	0	1-2 Year	No	2,630	156	126	0
167,288	Male	25	1	21	1	< 1 Year	No	28,437	152	140	0
383,166	Male	22	1	46	1	< 1 Year	No	31,240	152	149	0
340,858	Male	52	1	46	0	1-2 Year	Yes	36,983	26	143	0
277,383	Male	49	1	28	0	1-2 Year	Yes	37,839	26	257	0
144,373	Female	49	1	48	0	1-2 Year	Yes	2,630	122	264	0
193,621	Female	25	1	9	0	< 1 Year	Yes	41,686	152	224	0
99,809	Male	21	1	8	1	< 1 Year	No	40,326	152	261	0
417,631	Male	26	1	45	1	< 1 Year	No	2,630	152	149	0
84,498	Female	41	1	28	0	1-2 Year	Yes	39,090	25	129	0
435,225	Male	43	1	41	0	1-2 Year	Yes	2,630	106	248	1
205,797	Female	23	1	21	1	< 1 Year	No	28,404	152	297	0
503,982	Male	42	1	46	0	1-2 Year	Yes	2,630	26	285	1
77,878	Female	25	1	41	0	< 1 Year	Yes	39,151	152	146	0
390,198	Female	29	1	28	0	< 1 Year	Yes	45,256	155	77	1
308,615	Female	25	1	36	0	< 1 Year	Yes	28,935	152	190	1
124,354	Female	27	1	36	0	< 1 Year	Yes	31,525	152	119	0
431,931	Female	22	1	17	1	< 1 Year	No	70,505	152	287	0
33,123	Female	24	1	19	0	< 1 Year	No	43,765	152	235	0
376,782	Male	27	1	50	1	< 1 Year	No	48,668	152	285	0
322,988	Female	65	1	11	0	1-2 Year	Yes	2,630	124	124	0
374,666	Male	22	1	50	1	< 1 Year	No	54,236	152	63	0
376,049	Male	25	1	11	0	< 1 Year	No	37,732	152	172	0
456,422	Female	21	1	41	1	< 1 Year	No	27,389	152	129	0
333,413	Male	78	1	48	0	1-2 Year	Yes	2,630	124	254	0
353,983	Male	73	1	28	0	1-2 Year	Yes	28,272	26	101	0
322,781	Male	20	1	50	1	< 1 Year	Yes	34,736	160	37	0
367,643	Female	23	1	45	1	< 1 Year	No	27,552	160	116	0
212,460	Male	41	1	28	0	1-2 Year	Yes	50,307	124	268	0
371,887	Female	34	1	37	0	1-2 Year	Yes	2,630	160	170	0
346,845	Female	22	1	29	1	< 1 Year	No	27,694	152	264	0
2,226	Male	24	1	8	1	< 1 Year	No	36,538	152	126	0
22,346	Male	68	1	28	0	1-2 Year	No	2,630	124	89	0
3,654	Male	49	1	46	0	1-2 Year	Yes	33,381	124	163	0
133,645	Female	58	1	32	1	1-2 Year	No	29,651	152	90	0
413,508	Male	29	1	28	0	1-2 Year	Yes	52,153	157	43	1
206,620	Female	26	1	28	1	< 1 Year	No	36,908	152	272	0
349,839	Male	61	1	20	0	1-2 Year	Yes	2,630	26	179	0
234,396	Female	25	1	50	0	< 1 Year	Yes	30,640	152	299	0
303,733	Female	25	1	8	1	< 1 Year	No	32,696	152	153	0
287,072	Male	41	1	50	1	1-2 Year	No	45,362	26	35	0
301,868	Female	23	1	9	0	< 1 Year	Yes	29,668	26	141	0
348,685	Female	32	1	42	0	1-2 Year	Yes	2,630	8	92	0
442,559	Male	22	1	28	1	< 1 Year	No	48,219	152	22	0
401,151	Female	48	1	41	0	1-2 Year	Yes	30,480	124	90	1
405,948	Male	37	1	51	1	1-2 Year	No	2,630	124	235	0
287,479	Female	21	1	35	0	< 1 Year	Yes	39,929	124	297	0
69,890	Male	29	1	46	1	1-2 Year	No	32,774	21	141	0
396,061	Male	41	1	28	0	1-2 Year	Yes	31,799	26	233	1
98,797	Female	25	1	36	0	< 1 Year	No	34,468	152	220	0
418,148	Female	70	1	2	1	1-2 Year	No	33,372	152	87	0
194,051	Female	21	1	32	1	< 1 Year	No	21,381	160	153	0
158,943	Female	66	1	46	0	1-2 Year	Yes	62,415	26	101	0
505,499	Male	44	1	38	0	1-2 Year	Yes	37,634	124	94	1
15,130	Female	23	1	11	1	< 1 Year	No	33,659	152	245	0
189,053	Male	65	1	28	0	1-2 Year	Yes	34,924	26	44	1
73,218	Male	78	1	12	1	1-2 Year	No	31,486	124	70	0
444,846	Male	23	1	28	1	< 1 Year	No	68,064	152	207	0
271,121	Male	23	1	46	1	< 1 Year	No	33,935	152	141	0
193,326	Male	25	1	47	0	< 1 Year	Yes	51,199	152	165	0
232,365	Female	25	1	28	1	< 1 Year	No	33,339	152	242	0
86,611	Male	22	1	10	1	< 1 Year	No	27,265	152	82	0
129,949	Male	21	1	7	1	< 1 Year	No	34,312	160	225	0
238,144	Male	57	1	33	1	1-2 Year	No	33,772	124	51	0
105,794	Female	35	1	32	0	1-2 Year	Yes	20,600	154	210	1
368,436	Male	53	1	28	0	1-2 Year	Yes	46,623	26	211	1
46,195	Male	52	1	8	0	1-2 Year	Yes	30,255	3	74	0
487,451	Female	23	1	36	1	< 1 Year	No	27,426	152	115	0
149,767	Male	28	1	6	0	< 1 Year	Yes	2,630	152	186	0
257,020	Female	24	1	8	1	< 1 Year	No	36,323	152	248	0
134,254	Male	47	1	18	0	1-2 Year	Yes	30,943	124	50	1
68,727	Female	43	1	46	0	1-2 Year	Yes	2,630	156	196	0
76,613	Male	58	1	28	0	1-2 Year	Yes	47,383	26	73	1
192,566	Male	35	1	47	1	1-2 Year	No	43,707	151	285	0
55,900	Male	74	1	28	0	> 2 Years	Yes	22,903	124	24	0
227,875	Male	27	1	3	1	< 1 Year	No	2,630	152	295	0
181,085	Female	38	1	46	1	1-2 Year	No	22,522	26	184	0
323,626	Female	37	1	28	0	1-2 Year	Yes	2,630	122	19	1
341,602	Female	20	1	36	0	< 1 Year	Yes	28,114	160	65	0
101,907	Male	40	1	15	0	1-2 Year	Yes	37,024	124	100	0
167,227	Male	35	1	47	0	1-2 Year	Yes	24,361	156	68	1
189,457	Female	27	1	21	0	< 1 Year	Yes	35,310	152	176	0
63,876	Female	28	1	17	1	< 1 Year	No	40,182	152	86	0
450,683	Male	28	1	30	1	< 1 Year	No	32,435	152	130	0
103,376	Male	28	1	28	1	< 1 Year	No	26,262	152	225	0
189,973	Male	59	1	28	0	1-2 Year	No	46,741	152	57	0
360,440	Male	41	1	46	0	1-2 Year	Yes	36,686	122	174	0
366,344	Female	59	1	36	1	1-2 Year	No	36,429	152	266	0
414,054	Male	23	1	23	1	< 1 Year	No	2,630	152	68	0
140,039	Male	28	1	3	1	< 1 Year	No	23,314	152	181	0
291,285	Female	21	1	36	1	< 1 Year	No	35,932	160	122	0
189,547	Female	35	1	48	0	1-2 Year	Yes	2,630	26	139	0
265,500	Female	34	1	3	0	1-2 Year	Yes	2,630	156	214	1
40,159	Male	23	1	36	1	< 1 Year	No	31,877	152	247	0
479,144	Female	30	1	18	0	< 1 Year	Yes	2,630	157	100	1
338,513	Female	23	1	50	1	< 1 Year	No	42,908	152	109	0
440,468	Female	22	1	32	1	< 1 Year	No	10,860	152	64	0
136,852	Female	38	1	28	0	1-2 Year	Yes	68,843	26	284	0

Subsets and Splits

No community queries yet

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