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
113,492	Male	22	1	19	0	1-2 Year	Yes	34,023	26	47	0
360,410	Male	25	1	28	1	< 1 Year	No	26,298	152	262	0
144,436	Male	29	1	29	0	< 1 Year	No	30,192	154	263	0
283,473	Male	48	1	28	0	1-2 Year	Yes	23,275	26	290	0
58,944	Male	41	1	8	0	1-2 Year	Yes	2,630	124	229	1
339,100	Male	50	1	15	1	1-2 Year	No	25,684	152	219	0
22,090	Female	77	1	28	0	1-2 Year	Yes	38,183	26	292	0
65,698	Male	52	1	28	1	1-2 Year	No	2,630	124	265	0
205,927	Female	71	1	28	0	> 2 Years	Yes	25,878	26	190	0
233,967	Male	55	1	33	0	1-2 Year	Yes	37,116	26	272	0
391,456	Male	48	1	28	0	1-2 Year	Yes	2,630	157	252	1
358,297	Female	26	1	28	1	< 1 Year	No	43,431	152	58	0
88,941	Male	55	1	3	1	1-2 Year	No	2,630	124	46	0
171,487	Female	24	1	28	1	< 1 Year	No	46,501	152	238	0
324,578	Female	21	1	30	1	< 1 Year	No	29,133	160	288	0
458,290	Female	25	1	41	1	< 1 Year	No	21,783	152	70	0
285,892	Male	23	1	18	1	< 1 Year	No	20,791	152	15	0
69,712	Male	42	1	29	0	1-2 Year	Yes	2,630	154	58	0
254,374	Female	47	1	28	1	1-2 Year	No	50,406	124	68	0
335,510	Female	23	1	16	1	< 1 Year	No	28,977	152	61	0
244,105	Female	26	1	11	1	< 1 Year	No	28,546	152	68	0
102,788	Female	31	1	30	0	< 1 Year	Yes	24,910	124	22	0
399,670	Male	31	1	13	1	1-2 Year	No	36,709	26	209	0
68,585	Male	45	1	28	0	> 2 Years	Yes	2,630	26	84	0
48,677	Male	43	1	36	0	1-2 Year	Yes	2,630	124	111	0
340,913	Female	20	1	13	0	< 1 Year	Yes	39,040	160	52	0
345,102	Male	63	1	28	0	1-2 Year	Yes	56,463	55	194	0
279,448	Female	50	1	8	0	1-2 Year	Yes	50,581	7	279	1
268,748	Male	36	1	27	0	1-2 Year	Yes	27,108	124	115	1
388,490	Female	24	1	15	1	< 1 Year	No	51,226	152	145	0
305,716	Male	43	1	3	0	1-2 Year	Yes	20,617	155	219	0
164,105	Male	47	1	28	0	1-2 Year	Yes	31,616	26	174	1
505,039	Female	21	1	30	1	< 1 Year	No	2,630	152	149	0
431,831	Male	51	1	14	0	1-2 Year	Yes	2,630	26	219	1
465,703	Male	26	1	15	1	< 1 Year	No	32,479	152	165	0
350,056	Female	41	1	41	1	1-2 Year	No	44,751	124	230	0
402,903	Male	55	1	28	0	1-2 Year	Yes	34,723	26	55	1
143,532	Female	48	1	28	0	1-2 Year	Yes	29,827	156	156	0
149,701	Male	41	1	43	0	1-2 Year	No	29,218	124	102	0
367,716	Male	44	1	3	0	1-2 Year	Yes	19,857	124	221	0
202,166	Male	60	1	7	0	1-2 Year	Yes	2,630	26	241	0
15,484	Male	47	1	7	1	1-2 Year	No	49,833	26	177	0
75,733	Male	44	1	28	0	1-2 Year	Yes	36,169	26	289	1
398,845	Male	71	1	47	0	1-2 Year	No	40,701	26	249	0
153,264	Female	59	1	46	0	1-2 Year	No	38,139	124	211	0
219,401	Female	23	1	46	1	< 1 Year	No	34,843	152	27	0
285,861	Male	24	1	41	1	< 1 Year	No	47,330	152	110	0
149,134	Male	63	1	36	0	1-2 Year	Yes	35,280	15	95	0
380,084	Female	43	1	46	1	1-2 Year	No	37,749	124	222	0
15,803	Male	70	1	8	1	1-2 Year	No	23,339	26	85	0
241,780	Male	22	1	36	1	< 1 Year	No	23,040	152	52	0
20,886	Male	23	1	37	0	< 1 Year	Yes	30,623	152	299	0
416,507	Female	25	1	3	1	< 1 Year	No	28,484	152	185	0
175,958	Male	44	1	28	1	1-2 Year	Yes	35,943	124	221	0
360,736	Male	25	1	28	1	< 1 Year	No	31,416	152	27	0
462,554	Male	50	1	28	0	1-2 Year	Yes	23,471	26	209	1
136,219	Male	24	1	29	1	< 1 Year	No	20,905	152	211	0
283,550	Male	50	1	28	0	1-2 Year	Yes	26,781	26	173	0
37,111	Female	22	1	6	1	< 1 Year	No	38,033	152	297	0
248,198	Female	32	1	30	0	< 1 Year	Yes	24,303	152	181	0
400,691	Male	41	1	28	0	1-2 Year	Yes	34,584	26	127	1
505,022	Male	40	1	28	0	1-2 Year	Yes	37,857	124	273	1
455,115	Male	25	1	28	1	< 1 Year	No	44,202	152	167	0
240,870	Male	23	1	15	1	< 1 Year	No	20,343	26	86	0
70,710	Male	24	1	28	0	< 1 Year	Yes	32,506	150	211	0
122,138	Female	23	1	37	1	< 1 Year	No	39,839	151	247	0
209,577	Male	24	1	41	1	< 1 Year	No	29,373	152	153	0
106,050	Male	48	1	41	0	1-2 Year	Yes	32,047	124	62	0
124,107	Male	25	1	29	1	< 1 Year	No	25,226	152	95	0
373,277	Female	49	0	11	1	1-2 Year	No	2,630	120	141	0
212,024	Male	57	1	48	0	1-2 Year	Yes	2,630	26	161	0
61,836	Male	57	1	28	1	1-2 Year	No	51,386	152	33	0
136,593	Male	48	1	28	0	1-2 Year	Yes	40,649	124	59	1
277,256	Female	42	1	28	0	> 2 Years	Yes	52,281	26	242	0
12,433	Male	62	1	39	1	1-2 Year	No	32,404	26	39	0
42,786	Female	71	1	3	0	1-2 Year	Yes	31,662	30	205	0
178,733	Male	73	1	18	0	1-2 Year	Yes	26,198	26	198	0
386,287	Female	27	1	36	1	< 1 Year	No	2,630	152	255	0
92,552	Female	22	1	26	0	< 1 Year	Yes	32,858	160	28	0
228,072	Male	47	1	8	0	1-2 Year	Yes	32,975	26	159	0
465,067	Female	66	1	46	1	1-2 Year	No	32,846	124	198	0
85,446	Female	41	1	11	1	1-2 Year	No	38,277	120	135	0
360,775	Male	24	1	2	0	< 1 Year	Yes	28,420	152	161	0
105,793	Male	38	1	28	1	1-2 Year	No	27,140	26	268	0
199,541	Male	21	1	35	1	< 1 Year	No	27,258	152	116	0
347,232	Male	42	1	28	0	> 2 Years	Yes	27,793	122	202	0
156,327	Female	25	1	28	0	< 1 Year	No	2,630	160	150	1
87,277	Male	47	1	28	0	1-2 Year	Yes	28,251	122	82	0
82,806	Male	33	1	39	1	< 1 Year	No	2,630	152	178	0
134,936	Male	37	1	41	0	1-2 Year	Yes	28,031	124	245	0
291,555	Male	26	1	28	1	< 1 Year	No	45,407	152	165	0
33,561	Male	58	1	28	0	1-2 Year	Yes	26,139	124	262	0
278,100	Female	20	1	25	1	< 1 Year	No	24,481	160	258	0
116,593	Male	65	1	8	1	1-2 Year	Yes	29,189	4	46	0
107,563	Female	45	1	36	0	1-2 Year	Yes	2,630	157	108	0
184,195	Female	22	1	2	1	< 1 Year	No	24,169	152	71	0
378,001	Male	58	1	48	0	> 2 Years	Yes	2,630	124	14	0
390,218	Male	68	1	41	1	1-2 Year	No	21,828	124	271	0
159,910	Female	44	1	30	0	1-2 Year	Yes	21,679	124	214	0
58,947	Female	24	1	50	1	< 1 Year	No	20,860	152	144	0

Subsets and Splits

No community queries yet

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