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
204,492	Female	75	1	8	0	1-2 Year	Yes	28,219	26	247	0
481,096	Male	51	1	28	1	1-2 Year	No	30,534	26	32	0
130,908	Male	58	1	46	1	1-2 Year	No	33,466	26	107	0
257,088	Male	52	1	28	0	1-2 Year	Yes	46,396	26	117	0
256,151	Male	36	1	8	0	1-2 Year	No	40,014	7	43	0
68,703	Male	70	1	8	0	1-2 Year	Yes	29,514	124	122	1
44,557	Male	23	1	3	1	< 1 Year	No	24,435	152	156	0
181,340	Male	36	1	10	0	1-2 Year	Yes	2,630	156	287	0
245,160	Male	60	1	30	1	1-2 Year	No	30,174	26	92	0
279,398	Female	66	1	28	0	1-2 Year	Yes	72,279	26	43	0
51,567	Female	31	1	8	1	< 1 Year	No	36,403	152	66	0
41,664	Female	22	1	35	1	< 1 Year	No	33,368	152	99	0
115,461	Male	52	1	47	1	1-2 Year	No	39,592	124	195	0
5,533	Female	25	1	13	1	< 1 Year	No	26,187	152	118	0
439,238	Female	47	1	28	0	1-2 Year	Yes	39,994	124	179	1
310,119	Female	22	1	28	0	< 1 Year	Yes	42,103	26	77	0
372,342	Male	48	1	6	1	1-2 Year	No	27,505	26	250	0
238,160	Male	22	1	15	0	< 1 Year	Yes	27,568	152	241	0
89,528	Female	49	1	46	1	1-2 Year	No	38,801	26	51	0
191,737	Male	38	1	46	0	> 2 Years	Yes	28,250	124	230	0
296,122	Male	45	1	28	1	1-2 Year	No	38,468	124	209	0
160,182	Female	44	1	28	0	1-2 Year	Yes	31,092	124	246	0
310,837	Male	42	1	47	1	1-2 Year	No	31,148	124	35	0
12,882	Female	34	1	28	1	1-2 Year	No	78,765	124	83	1
120,833	Male	28	1	41	1	< 1 Year	No	2,630	152	51	0
298,013	Male	77	1	47	1	1-2 Year	No	30,259	124	37	0
365,384	Female	24	1	15	1	< 1 Year	No	30,596	152	125	0
88,697	Male	53	1	21	1	1-2 Year	No	2,630	160	258	0
264,599	Male	23	1	36	0	< 1 Year	Yes	28,565	152	79	0
283,218	Male	43	1	28	0	1-2 Year	Yes	46,553	26	124	0
459,160	Female	24	1	16	1	< 1 Year	No	24,261	152	174	0
225,417	Male	38	1	21	0	1-2 Year	Yes	2,630	156	84	0
2,846	Male	22	1	29	1	< 1 Year	No	2,630	152	71	0
321,111	Male	29	1	11	1	< 1 Year	No	50,731	154	132	0
219,363	Female	23	1	50	1	< 1 Year	No	31,117	152	211	0
281,976	Female	25	1	6	1	< 1 Year	No	19,818	152	46	0
221,253	Female	25	1	36	1	< 1 Year	No	38,375	152	25	0
302,101	Male	26	1	2	1	< 1 Year	No	23,302	152	265	0
16,227	Male	56	1	28	1	1-2 Year	No	19,403	124	66	0
342,360	Male	51	1	38	0	1-2 Year	Yes	27,628	26	144	0
349,151	Male	50	1	50	0	1-2 Year	Yes	28,191	26	74	1
93,162	Male	67	1	41	0	1-2 Year	Yes	41,301	26	232	0
32,305	Female	45	1	28	0	1-2 Year	Yes	39,742	124	264	0
126,072	Female	23	1	14	1	< 1 Year	No	19,976	152	118	0
202,698	Male	23	1	15	0	< 1 Year	Yes	28,834	152	155	0
139,983	Female	30	1	15	1	< 1 Year	No	29,327	152	20	0
205,576	Male	26	1	8	0	< 1 Year	Yes	46,064	152	218	0
372,765	Male	24	1	8	0	< 1 Year	Yes	51,903	26	121	1
37,022	Male	51	1	28	0	1-2 Year	Yes	35,132	26	68	0
90,509	Female	45	1	2	1	1-2 Year	No	28,015	26	112	0
346,413	Male	75	1	18	0	1-2 Year	Yes	2,630	124	61	0
131,744	Female	23	1	49	1	< 1 Year	No	32,707	152	231	0
74,272	Female	74	1	29	0	1-2 Year	Yes	30,936	26	154	0
86,561	Female	40	1	8	0	1-2 Year	Yes	35,693	26	248	0
62,953	Female	24	1	8	1	< 1 Year	No	44,802	152	15	0
57,485	Female	40	1	26	0	1-2 Year	Yes	42,588	120	43	1
393,357	Female	22	1	21	1	< 1 Year	No	36,411	152	56	0
308,104	Male	48	1	28	0	1-2 Year	Yes	2,630	124	135	0
86,421	Male	28	1	28	0	< 1 Year	Yes	2,630	156	158	0
177,985	Male	53	1	28	1	1-2 Year	No	34,165	124	118	0
188,393	Female	40	1	9	0	1-2 Year	Yes	36,075	152	100	0
166,987	Female	25	1	6	1	< 1 Year	No	22,260	152	27	0
206,744	Male	74	1	49	1	1-2 Year	Yes	23,291	26	229	0
232,248	Female	41	1	8	0	1-2 Year	Yes	2,630	26	279	0
30,982	Male	43	1	11	0	1-2 Year	Yes	2,630	26	208	0
220,354	Male	65	1	32	1	1-2 Year	No	25,806	26	106	0
257,149	Female	24	1	11	1	< 1 Year	No	85,568	152	125	0
152,866	Female	27	1	8	1	< 1 Year	No	40,632	152	129	0
420,691	Female	25	1	24	1	< 1 Year	No	2,630	152	237	0
425,786	Male	40	1	36	0	1-2 Year	Yes	2,630	156	59	1
28,375	Male	52	1	41	0	1-2 Year	Yes	51,613	26	38	0
221,226	Male	46	1	24	0	1-2 Year	Yes	27,577	124	160	0
236,615	Female	27	1	30	1	< 1 Year	Yes	25,307	152	51	0
66,047	Male	45	1	46	1	1-2 Year	No	25,179	122	87	0
47,434	Male	22	1	8	1	< 1 Year	No	22,868	152	284	0
279,765	Male	75	1	28	0	> 2 Years	Yes	39,641	122	31	0
227,493	Male	23	1	30	1	< 1 Year	No	24,719	152	59	0
459,910	Female	30	1	28	1	< 1 Year	No	2,630	152	241	0
137,089	Male	70	1	28	1	1-2 Year	No	37,293	26	153	0
271,219	Female	30	1	47	1	< 1 Year	No	28,102	152	170	0
438,684	Female	46	1	8	1	1-2 Year	No	54,559	124	280	0
234,182	Female	75	1	28	0	1-2 Year	Yes	2,630	124	299	0
156,109	Male	61	1	28	0	1-2 Year	No	36,966	124	294	0
93,232	Male	26	1	15	0	< 1 Year	No	2,630	152	204	0
109,590	Female	22	1	2	1	< 1 Year	Yes	41,305	152	227	0
308,161	Male	68	1	28	1	1-2 Year	No	41,939	13	171	0
93,487	Female	64	1	8	0	1-2 Year	Yes	43,572	26	221	0
18,667	Female	21	1	46	0	< 1 Year	Yes	31,564	26	184	0
346,102	Male	33	1	7	1	1-2 Year	No	2,630	156	273	0
266,279	Male	47	1	29	1	1-2 Year	No	2,630	26	41	0
258,282	Male	47	1	28	0	1-2 Year	Yes	38,670	26	49	0
472,070	Female	42	1	46	0	1-2 Year	Yes	17,843	4	283	1
264,849	Male	24	1	29	1	< 1 Year	No	26,278	152	178	0
152,138	Male	59	1	8	1	1-2 Year	No	85,751	25	232	0
363,546	Male	24	1	37	1	< 1 Year	No	38,402	152	195	0
430,864	Male	44	1	28	1	1-2 Year	No	25,979	26	47	0
475,285	Male	55	1	28	1	1-2 Year	No	60,115	29	27	0
327,075	Female	22	1	10	1	< 1 Year	No	27,573	152	203	0
397,748	Male	46	1	41	0	1-2 Year	Yes	48,817	26	128	1
93,782	Female	21	1	36	1	< 1 Year	No	38,833	160	50	0

Subsets and Splits

No community queries yet

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