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
293,387	Male	27	1	15	1	< 1 Year	No	50,405	152	33	0
339,479	Female	23	1	46	0	< 1 Year	Yes	33,137	26	58	0
202,149	Male	61	1	46	1	1-2 Year	No	32,460	26	295	0
204,719	Female	34	1	36	1	1-2 Year	No	35,782	152	26	0
173,434	Female	39	1	32	0	1-2 Year	Yes	30,844	156	256	0
263,694	Male	40	1	28	0	1-2 Year	No	45,164	122	103	0
123,935	Male	56	1	33	1	1-2 Year	Yes	2,630	124	136	0
377,359	Male	50	1	8	0	> 2 Years	Yes	41,645	26	220	1
331,635	Male	43	1	34	0	1-2 Year	Yes	37,185	26	52	1
486,352	Female	50	1	28	0	> 2 Years	Yes	34,745	155	241	1
206,291	Male	28	1	37	0	< 1 Year	Yes	31,760	160	81	0
418,010	Female	30	1	8	1	< 1 Year	No	34,585	160	148	0
458,697	Male	20	1	11	1	< 1 Year	No	25,807	160	296	0
41,894	Female	29	1	8	1	< 1 Year	No	53,641	152	200	0
432,876	Female	21	1	10	1	< 1 Year	No	25,773	160	91	0
36,780	Female	22	1	37	1	< 1 Year	No	2,630	152	146	0
288,779	Male	26	1	50	1	< 1 Year	No	38,853	152	274	0
108,044	Male	24	1	23	1	< 1 Year	No	38,590	152	264	0
398,309	Female	21	1	11	1	< 1 Year	No	28,346	152	40	0
299,978	Male	53	1	28	0	1-2 Year	Yes	31,991	124	106	1
303,794	Male	60	1	6	0	1-2 Year	No	2,630	156	123	0
443,087	Female	38	1	28	0	1-2 Year	Yes	30,295	124	188	1
31,979	Male	32	1	8	0	1-2 Year	Yes	2,630	26	124	1
196,878	Male	39	1	37	1	1-2 Year	No	2,630	160	182	0
323,458	Male	32	1	8	0	1-2 Year	Yes	2,630	156	83	0
10,690	Male	21	1	17	1	< 1 Year	No	25,635	152	214	0
331,068	Male	65	1	28	0	> 2 Years	Yes	51,964	25	75	1
14,893	Male	52	1	11	1	1-2 Year	No	34,621	124	279	0
135,235	Male	28	1	8	1	< 1 Year	No	45,317	156	115	0
283,783	Female	49	1	6	1	1-2 Year	No	44,081	26	194	0
359,500	Male	38	1	28	0	1-2 Year	Yes	45,250	26	229	0
27,757	Male	45	1	28	0	1-2 Year	Yes	48,188	124	109	1
272,203	Male	24	1	2	0	< 1 Year	No	22,537	152	285	0
65,050	Male	69	1	23	0	1-2 Year	Yes	32,356	26	120	0
332,381	Male	27	1	35	1	< 1 Year	No	23,508	152	63	0
480,190	Male	24	1	50	1	< 1 Year	No	35,824	152	275	0
5,822	Female	65	1	46	0	1-2 Year	Yes	51,680	26	55	0
365,330	Female	49	1	46	0	1-2 Year	Yes	43,497	11	146	0
174,882	Female	42	1	28	0	1-2 Year	Yes	2,630	124	215	1
60,096	Male	32	1	28	0	< 1 Year	Yes	28,489	124	25	0
501,939	Male	27	1	44	1	< 1 Year	No	30,277	152	275	0
297,723	Male	76	1	20	0	> 2 Years	Yes	2,630	124	255	0
31,277	Female	22	1	43	1	< 1 Year	No	2,630	152	60	0
373,305	Female	24	1	8	1	< 1 Year	No	43,950	151	145	0
288,789	Female	38	1	28	0	1-2 Year	Yes	27,240	23	130	0
379,531	Female	55	1	28	1	1-2 Year	No	48,221	26	36	0
267,988	Male	26	1	8	0	< 1 Year	No	30,548	152	258	0
447,584	Male	25	1	36	1	< 1 Year	No	28,024	160	39	0
56,515	Male	64	1	28	0	1-2 Year	Yes	27,368	124	287	0
343,238	Male	35	1	30	0	1-2 Year	Yes	41,757	124	90	0
334,911	Female	23	1	41	1	< 1 Year	No	42,652	152	91	0
106,341	Male	72	1	47	1	1-2 Year	No	26,169	16	291	0
261,961	Female	52	1	28	1	1-2 Year	No	60,112	26	229	0
361,437	Male	44	1	46	0	1-2 Year	Yes	34,487	124	166	1
20,463	Female	39	1	11	0	1-2 Year	Yes	2,630	157	85	1
62,226	Female	33	1	11	0	1-2 Year	Yes	35,200	124	142	0
286,154	Male	51	1	13	0	1-2 Year	Yes	34,459	124	182	1
51,307	Female	28	1	21	1	< 1 Year	No	17,643	152	178	0
308,223	Male	50	1	41	1	1-2 Year	No	33,248	124	210	0
99,716	Male	72	1	8	0	1-2 Year	Yes	2,630	26	247	0
87,329	Female	78	1	46	0	1-2 Year	No	45,008	11	68	0
24,810	Male	65	1	11	0	1-2 Year	Yes	40,962	26	68	0
233,580	Male	34	1	8	1	1-2 Year	No	64,051	124	62	0
218,410	Male	25	1	33	1	< 1 Year	No	23,429	152	114	0
142,519	Male	46	1	28	0	1-2 Year	Yes	28,660	26	260	0
221,574	Female	47	1	50	0	1-2 Year	Yes	36,831	152	106	0
37,673	Male	77	1	42	0	1-2 Year	No	38,753	124	270	0
39,875	Male	33	1	28	0	1-2 Year	Yes	25,256	156	170	0
294,640	Male	21	1	43	0	< 1 Year	Yes	24,508	152	144	0
179,579	Male	49	1	11	0	1-2 Year	Yes	39,900	26	73	0
206,460	Female	51	1	7	0	1-2 Year	Yes	2,630	26	215	0
464,217	Male	27	1	28	1	< 1 Year	No	30,440	152	100	0
309,920	Male	46	1	47	0	1-2 Year	Yes	30,771	124	48	0
460,017	Male	54	1	33	0	1-2 Year	Yes	49,369	26	276	1
19,871	Female	26	1	8	1	< 1 Year	No	68,613	152	120	0
197,831	Female	28	1	33	1	< 1 Year	No	28,978	152	209	0
185,781	Female	44	1	28	0	> 2 Years	Yes	78,264	55	29	0
315,380	Male	44	1	33	0	> 2 Years	Yes	33,470	124	75	0
443,119	Female	21	1	32	1	< 1 Year	No	32,894	160	287	0
485,279	Male	58	1	28	0	> 2 Years	Yes	31,679	26	98	1
173,812	Female	34	1	19	0	1-2 Year	Yes	37,931	124	23	1
229,285	Male	49	1	28	0	1-2 Year	Yes	50,289	124	238	1
47,315	Female	39	1	28	0	1-2 Year	Yes	2,630	26	157	1
35,420	Male	26	1	28	0	< 1 Year	Yes	55,157	26	213	0
43,322	Male	53	1	8	0	1-2 Year	Yes	32,413	25	242	1
44,155	Male	60	1	28	1	1-2 Year	No	42,882	13	54	0
359,185	Female	36	1	28	0	1-2 Year	Yes	2,630	26	283	1
99,049	Female	35	1	28	0	1-2 Year	Yes	46,705	122	10	0
272,131	Female	41	1	28	0	1-2 Year	Yes	52,290	124	182	0
349,098	Male	41	1	21	0	1-2 Year	Yes	2,630	124	191	0
200,364	Male	67	1	28	0	1-2 Year	Yes	61,216	26	196	0
250,232	Female	25	1	18	1	< 1 Year	No	36,410	152	149	0
241,758	Male	41	1	46	0	> 2 Years	Yes	39,027	26	218	1
242,031	Female	45	1	28	1	1-2 Year	No	29,150	124	183	0
42,762	Female	22	1	36	1	< 1 Year	No	37,892	152	277	0
9,561	Female	53	1	11	0	1-2 Year	Yes	41,701	26	290	0
200,162	Female	23	1	15	0	< 1 Year	Yes	39,664	152	143	0
233,142	Male	27	1	21	0	1-2 Year	Yes	2,630	156	194	0
87,422	Male	56	1	39	1	1-2 Year	No	44,136	124	43	0
77,285	Female	21	1	44	1	< 1 Year	No	36,442	160	199	0

Subsets and Splits

No community queries yet

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