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
330,294	Male	32	1	18	0	< 1 Year	Yes	27,213	152	244	0
107,927	Female	42	1	11	0	1-2 Year	No	2,630	157	149	1
337,662	Female	60	1	28	1	1-2 Year	No	27,825	26	253	0
308,627	Male	43	1	28	0	1-2 Year	Yes	31,658	26	253	1
234,187	Male	68	1	28	0	> 2 Years	Yes	46,048	26	198	0
447,309	Male	27	1	28	1	< 1 Year	No	46,327	152	22	0
355,452	Female	44	1	8	0	1-2 Year	Yes	34,671	124	49	0
433,516	Female	27	1	8	1	< 1 Year	No	40,661	152	62	0
462,280	Male	45	1	28	0	1-2 Year	Yes	47,070	124	158	1
380,458	Female	46	1	39	0	1-2 Year	No	2,630	124	148	0
307,127	Female	43	1	15	1	1-2 Year	No	28,998	152	28	0
364,712	Male	55	1	41	0	1-2 Year	Yes	44,290	26	12	0
250,715	Male	46	1	28	1	1-2 Year	No	40,252	124	172	0
181,746	Male	45	1	28	0	1-2 Year	Yes	25,545	26	204	1
136,295	Male	21	1	9	0	< 1 Year	No	29,772	160	188	0
310,897	Male	48	1	28	1	1-2 Year	No	39,146	124	89	0
443,775	Female	51	1	28	0	1-2 Year	Yes	38,071	26	48	1
100,948	Male	41	1	30	1	1-2 Year	No	2,630	140	231	0
146,727	Male	31	1	24	0	1-2 Year	Yes	2,630	156	196	0
258,861	Male	26	1	46	1	< 1 Year	No	25,513	152	59	0
231,204	Male	45	1	28	1	1-2 Year	No	38,197	124	88	0
26,310	Female	41	1	28	0	1-2 Year	Yes	42,480	26	16	1
96,119	Female	31	1	50	1	< 1 Year	No	38,635	152	255	0
33,442	Male	66	1	8	0	1-2 Year	Yes	32,423	7	129	1
84,853	Female	25	1	8	0	< 1 Year	Yes	40,764	152	140	0
62,090	Male	53	1	46	1	1-2 Year	No	2,630	26	124	0
389,372	Female	53	1	28	1	1-2 Year	No	55,656	124	118	0
168,749	Male	44	1	26	1	1-2 Year	No	37,203	124	77	0
48,679	Female	30	1	3	0	< 1 Year	Yes	31,074	160	37	0
201,358	Female	23	1	6	1	< 1 Year	No	21,546	152	208	0
105,087	Female	56	1	12	0	> 2 Years	Yes	33,017	26	42	0
354,547	Male	39	1	41	0	1-2 Year	Yes	34,162	124	49	0
10,769	Female	21	1	22	1	< 1 Year	No	32,273	152	88	0
144,438	Male	30	1	41	1	< 1 Year	No	43,019	152	133	0
320,994	Male	71	1	8	0	1-2 Year	Yes	40,646	26	43	0
149,752	Male	54	1	6	1	1-2 Year	No	37,904	160	153	0
183,964	Male	57	1	8	1	1-2 Year	No	39,249	124	181	0
213,225	Female	24	1	15	1	< 1 Year	No	35,501	122	133	0
148,773	Female	34	1	28	0	1-2 Year	Yes	42,830	124	100	0
201,879	Male	23	1	11	1	< 1 Year	No	32,970	152	181	0
415,888	Female	24	1	2	1	< 1 Year	No	30,142	152	243	0
244,296	Male	53	1	8	0	1-2 Year	Yes	33,084	124	159	1
11,514	Male	27	1	28	0	< 1 Year	Yes	27,419	152	295	0
296,347	Female	23	1	10	0	< 1 Year	Yes	26,852	152	227	0
480,178	Male	49	1	28	0	1-2 Year	Yes	81,320	26	262	1
25,588	Female	22	1	39	1	< 1 Year	No	38,333	152	51	0
73,336	Male	23	1	47	1	< 1 Year	No	39,351	152	109	0
358,683	Female	36	1	28	0	1-2 Year	Yes	31,762	122	36	0
298,197	Female	26	1	5	1	< 1 Year	No	25,191	152	248	0
378,717	Male	28	1	46	0	< 1 Year	Yes	37,267	160	119	0
30,440	Male	34	1	30	0	1-2 Year	Yes	13,436	154	270	1
141,839	Male	58	1	28	0	> 2 Years	Yes	2,630	124	248	0
489,932	Female	39	1	28	0	1-2 Year	Yes	28,757	26	60	1
181,039	Male	64	1	7	0	1-2 Year	Yes	31,810	124	232	0
253,356	Male	25	1	28	1	< 1 Year	No	48,512	152	153	0
66,858	Female	26	1	30	0	1-2 Year	No	2,630	124	84	0
24,654	Male	78	1	4	0	1-2 Year	Yes	35,328	124	206	0
181,212	Female	26	1	3	0	< 1 Year	Yes	2,630	160	190	0
125,328	Male	56	1	29	0	1-2 Year	Yes	2,630	157	49	1
416,830	Female	24	1	12	1	< 1 Year	No	20,798	152	33	0
247,387	Male	42	1	28	0	1-2 Year	Yes	46,752	124	30	0
440,526	Female	26	1	35	1	< 1 Year	No	71,842	152	47	0
61,400	Male	41	1	48	0	1-2 Year	Yes	26,207	26	168	1
110,420	Male	29	1	28	1	< 1 Year	No	78,224	152	286	0
320,070	Female	40	1	38	0	1-2 Year	Yes	43,503	124	287	1
330,467	Male	22	1	47	0	< 1 Year	No	28,064	152	208	0
506,621	Male	49	1	28	0	1-2 Year	Yes	34,947	31	51	1
173,084	Male	64	1	39	0	1-2 Year	Yes	65,313	127	124	0
403,995	Male	23	1	8	1	< 1 Year	No	38,030	152	129	0
479,997	Male	20	1	46	1	< 1 Year	No	31,838	160	33	0
172,178	Female	60	1	11	0	1-2 Year	Yes	35,291	30	97	0
338,025	Male	33	1	29	1	< 1 Year	No	25,917	152	270	0
348,042	Male	41	1	28	0	> 2 Years	Yes	33,060	26	47	1
231,756	Female	69	1	8	1	1-2 Year	No	48,705	7	83	0
4,532	Male	21	1	21	1	< 1 Year	No	31,124	152	217	0
239,001	Male	48	1	17	0	1-2 Year	Yes	50,744	26	233	1
241,518	Male	49	1	28	0	> 2 Years	Yes	59,214	124	266	1
100,264	Female	74	1	6	1	1-2 Year	No	41,603	26	203	0
398,862	Male	23	1	14	1	< 1 Year	No	59,692	152	166	0
302,657	Male	24	1	5	0	< 1 Year	No	31,116	152	139	0
41,907	Female	22	1	28	1	1-2 Year	No	27,944	163	170	0
331,194	Male	72	1	28	1	1-2 Year	No	38,807	61	266	0
237,613	Male	50	1	8	1	1-2 Year	No	41,536	26	23	0
355,802	Male	53	1	28	1	1-2 Year	No	25,346	26	99	0
232,010	Male	22	1	15	0	< 1 Year	Yes	28,984	152	201	0
321,020	Female	40	1	15	0	1-2 Year	Yes	27,461	152	71	0
325,976	Female	22	1	7	1	< 1 Year	Yes	37,518	160	197	0
241,495	Male	27	1	2	0	1-2 Year	No	2,630	124	19	0
402,594	Female	24	1	30	1	< 1 Year	No	31,222	152	105	0
365,762	Male	44	1	38	0	1-2 Year	Yes	34,377	25	113	1
98,423	Male	25	1	14	1	< 1 Year	No	25,500	152	282	0
494,414	Male	25	1	48	1	< 1 Year	No	2,630	152	164	0
340,927	Female	23	1	27	1	< 1 Year	No	22,574	152	212	0
132,182	Female	45	1	28	0	1-2 Year	Yes	2,630	124	134	0
99,670	Male	43	1	6	1	1-2 Year	No	29,908	26	230	0
331,009	Male	50	1	9	0	1-2 Year	Yes	22,858	26	260	1
61,359	Male	20	1	10	0	< 1 Year	Yes	32,135	160	90	0
27,534	Female	23	1	24	1	< 1 Year	No	29,570	26	169	0
220,131	Male	24	1	2	1	< 1 Year	No	25,861	152	264	0
193,973	Female	26	1	36	0	< 1 Year	Yes	28,907	152	64	0

Subsets and Splits

No community queries yet

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