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
106,144	Male	39	1	3	0	1-2 Year	Yes	27,438	122	61	0
462,648	Male	51	1	8	0	1-2 Year	Yes	38,037	26	228	1
203,479	Male	24	1	14	1	< 1 Year	No	21,274	152	122	0
288,495	Female	24	1	28	1	< 1 Year	No	29,114	152	126	0
245,042	Female	50	1	12	1	1-2 Year	No	2,630	124	41	0
191,745	Male	59	1	41	1	1-2 Year	No	2,630	122	25	0
75,839	Female	36	1	8	0	1-2 Year	Yes	28,375	4	164	0
186,187	Male	40	1	28	0	> 2 Years	Yes	35,056	122	121	0
151,960	Male	51	1	28	1	1-2 Year	No	46,031	124	35	0
464,052	Male	60	1	48	1	1-2 Year	No	2,630	15	214	0
72,684	Female	23	1	10	1	< 1 Year	No	22,561	152	190	0
131,187	Male	23	1	30	1	< 1 Year	No	30,196	152	228	0
481,224	Female	41	1	28	0	1-2 Year	Yes	47,264	26	230	1
387,444	Male	48	1	29	1	1-2 Year	No	38,296	26	189	0
326,771	Female	27	1	33	1	< 1 Year	No	44,092	152	89	0
192,110	Female	26	1	35	1	< 1 Year	No	25,521	152	99	0
145,900	Male	27	1	30	1	< 1 Year	No	56,511	152	299	0
75,885	Male	54	1	28	1	1-2 Year	Yes	39,547	26	294	0
360,036	Male	24	1	15	0	< 1 Year	Yes	29,313	151	132	0
377,146	Male	48	1	28	0	1-2 Year	Yes	35,371	124	224	0
228,960	Female	52	1	28	0	1-2 Year	Yes	32,695	122	54	0
421,831	Male	31	1	28	0	< 1 Year	Yes	2,630	124	186	1
88,993	Male	60	1	28	1	1-2 Year	Yes	34,510	26	256	0
489,193	Female	24	1	41	1	< 1 Year	No	26,952	152	146	0
363,105	Male	40	1	7	0	1-2 Year	Yes	46,144	26	144	1
150,220	Female	49	1	28	0	1-2 Year	No	39,800	26	76	0
5,010	Female	25	1	8	0	< 1 Year	Yes	38,133	152	287	0
23,309	Male	21	1	11	1	< 1 Year	No	35,842	160	173	0
326,911	Male	21	1	32	0	< 1 Year	Yes	35,447	152	291	0
233,471	Male	62	1	41	0	1-2 Year	Yes	43,943	26	85	0
254,967	Female	25	1	28	1	< 1 Year	No	23,037	26	78	0
252,285	Female	26	1	21	1	< 1 Year	No	26,569	152	158	0
67,752	Male	39	1	28	1	1-2 Year	No	43,558	124	35	0
369,438	Male	22	1	8	1	< 1 Year	No	28,967	160	35	0
24,145	Male	22	1	40	1	< 1 Year	No	2,630	160	187	0
241,356	Female	20	1	39	0	< 1 Year	Yes	27,566	160	135	0
300,778	Male	26	1	11	1	< 1 Year	No	29,592	152	89	0
149,092	Male	23	1	6	1	< 1 Year	No	22,091	152	110	0
109,540	Male	21	1	50	0	< 1 Year	Yes	31,736	152	281	0
337,101	Female	45	1	8	0	1-2 Year	Yes	28,979	124	169	0
350,690	Male	37	1	30	1	1-2 Year	No	2,630	160	107	0
320,438	Female	41	1	45	1	1-2 Year	No	22,373	152	71	0
246,381	Male	64	1	33	0	1-2 Year	Yes	39,682	26	55	0
62,828	Female	27	1	41	1	< 1 Year	No	26,805	152	231	0
141,121	Male	58	1	28	1	1-2 Year	No	36,253	122	278	0
362,997	Male	45	1	46	0	1-2 Year	No	44,882	124	159	0
158,655	Female	21	1	46	0	< 1 Year	No	22,818	160	36	0
194,547	Male	65	1	28	0	1-2 Year	Yes	2,630	13	110	0
142,528	Male	45	1	15	1	1-2 Year	No	2,630	152	84	0
30,918	Male	25	1	8	1	< 1 Year	No	42,363	152	83	0
188,733	Male	69	1	28	0	> 2 Years	Yes	59,627	26	274	0
364,843	Female	29	1	28	0	< 1 Year	Yes	52,736	152	152	0
485,582	Male	22	1	36	1	< 1 Year	No	25,004	152	147	0
360,504	Male	32	1	28	0	< 1 Year	Yes	68,460	124	27	0
224,779	Female	23	1	6	1	< 1 Year	No	27,629	152	48	0
159,675	Female	24	1	36	0	< 1 Year	No	36,405	152	79	0
373,610	Male	61	1	28	0	> 2 Years	Yes	47,478	26	248	0
248,622	Male	23	1	11	1	< 1 Year	No	52,397	152	107	0
261,527	Female	40	1	28	1	1-2 Year	No	35,790	124	294	0
304,543	Male	62	1	38	0	1-2 Year	Yes	24,975	124	70	0
173,961	Female	23	1	22	0	< 1 Year	Yes	33,933	151	109	0
344,674	Male	25	1	3	1	< 1 Year	No	47,830	152	54	0
435,802	Male	47	1	8	1	1-2 Year	No	43,331	30	34	0
68,998	Male	70	1	28	0	1-2 Year	Yes	2,630	120	272	0
172,097	Male	46	1	4	0	1-2 Year	Yes	26,542	124	42	1
97,196	Female	72	1	20	0	1-2 Year	No	2,630	124	183	0
331,244	Male	40	1	39	1	1-2 Year	No	28,111	124	124	0
102,598	Female	32	1	37	0	< 1 Year	No	40,647	152	282	0
42,739	Male	22	1	6	1	< 1 Year	No	27,571	152	196	0
91,654	Male	50	1	28	0	1-2 Year	Yes	31,231	124	275	0
138,261	Male	36	1	28	1	1-2 Year	No	30,082	152	74	0
481,135	Male	24	1	30	1	< 1 Year	No	29,634	152	123	0
238,272	Female	28	1	35	1	< 1 Year	No	23,896	152	115	0
345,339	Male	23	1	45	0	< 1 Year	Yes	43,362	152	245	0
200,041	Female	27	1	24	1	< 1 Year	No	2,630	152	85	0
47,768	Female	26	1	8	1	< 1 Year	No	33,631	160	171	0
88,894	Female	22	1	41	0	< 1 Year	Yes	28,462	152	94	0
245,358	Male	25	1	28	1	< 1 Year	No	36,060	160	222	0
34,728	Female	30	1	41	1	< 1 Year	No	22,404	152	217	0
49,020	Male	41	1	28	1	1-2 Year	No	49,158	124	163	0
25,993	Male	36	1	29	0	1-2 Year	No	35,149	124	141	0
347,966	Female	40	1	28	0	1-2 Year	Yes	34,803	124	169	1
314,053	Female	21	1	9	1	< 1 Year	Yes	28,799	160	11	0
90,017	Male	21	1	17	1	< 1 Year	No	29,276	160	162	0
53,637	Female	32	1	28	1	< 1 Year	No	43,029	152	119	0
300,246	Male	30	1	3	1	< 1 Year	No	37,502	152	177	0
248,410	Female	78	0	15	0	1-2 Year	Yes	44,387	14	125	0
124,515	Female	21	1	35	1	< 1 Year	No	25,913	152	166	0
134,088	Female	23	1	8	0	< 1 Year	Yes	27,075	152	249	0
280,330	Female	22	1	22	1	< 1 Year	No	34,098	152	246	0
477,931	Female	26	1	30	1	< 1 Year	No	27,364	152	110	0
327,254	Female	22	1	9	1	< 1 Year	Yes	2,630	152	161	0
391,882	Female	32	1	43	1	< 1 Year	No	2,630	1	28	0
270,101	Male	26	1	15	0	< 1 Year	No	28,846	152	42	0
225,832	Female	44	1	50	1	1-2 Year	No	38,419	152	12	0
219,080	Male	26	1	8	0	< 1 Year	Yes	38,508	107	16	0
140,442	Male	53	1	28	0	1-2 Year	Yes	37,461	163	28	0
250,678	Male	26	1	2	1	< 1 Year	No	19,160	152	257	0
174,119	Female	20	1	46	0	< 1 Year	Yes	25,873	160	232	0
83,016	Male	63	1	4	0	1-2 Year	Yes	56,187	26	33	0

Subsets and Splits

No community queries yet

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