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
487,486	Male	33	1	27	0	1-2 Year	Yes	2,630	156	151	1
362,014	Female	62	1	28	1	1-2 Year	No	47,203	26	114	0
266,512	Female	28	1	15	0	< 1 Year	No	58,562	152	267	0
72,250	Female	24	1	36	1	< 1 Year	No	51,705	152	231	0
141,851	Male	43	1	9	0	1-2 Year	Yes	36,013	156	181	0
422,028	Female	25	1	16	1	< 1 Year	No	33,091	152	195	0
182,325	Female	33	1	12	0	< 1 Year	Yes	2,630	156	215	0
407,240	Male	29	1	10	1	< 1 Year	No	32,617	152	93	0
179,302	Female	31	1	7	0	< 1 Year	Yes	51,287	124	220	0
98,826	Female	36	1	0	0	1-2 Year	Yes	2,630	124	52	1
233,163	Male	22	1	8	1	< 1 Year	No	44,415	152	170	0
471,912	Female	40	1	30	0	1-2 Year	Yes	2,630	157	213	1
150,125	Male	49	1	36	0	1-2 Year	Yes	32,277	124	43	0
46,765	Female	73	1	28	0	1-2 Year	No	47,344	122	114	0
45,991	Male	51	1	28	0	1-2 Year	Yes	35,355	26	214	1
124,918	Female	73	1	37	1	1-2 Year	No	36,156	124	114	0
99,310	Male	59	1	28	0	1-2 Year	Yes	43,861	56	136	0
257,405	Male	49	1	41	1	1-2 Year	No	30,518	124	39	0
137,509	Female	37	1	8	0	1-2 Year	No	2,630	156	218	0
168,567	Female	37	1	28	1	1-2 Year	No	36,767	152	193	0
247,318	Female	21	1	28	1	< 1 Year	No	42,118	160	106	0
342,547	Female	24	1	24	1	< 1 Year	No	2,630	152	257	0
326,827	Female	23	1	15	1	< 1 Year	No	59,864	160	250	0
58,021	Female	38	1	14	0	1-2 Year	Yes	2,630	156	292	0
136,663	Female	25	1	32	0	< 1 Year	Yes	31,915	152	53	0
348,624	Female	52	1	48	0	> 2 Years	Yes	2,630	26	106	0
382,418	Male	31	1	3	0	< 1 Year	Yes	36,192	124	162	1
39,842	Female	25	1	6	1	< 1 Year	No	23,131	152	149	0
126,523	Male	73	1	23	1	1-2 Year	No	30,295	26	149	0
244,277	Female	24	1	33	1	< 1 Year	No	33,312	152	123	0
14,485	Female	45	1	28	1	1-2 Year	No	38,059	60	69	0
323,199	Male	43	1	28	0	1-2 Year	Yes	22,103	124	138	1
23,678	Male	23	1	50	1	< 1 Year	No	41,724	152	264	0
82,042	Male	47	1	28	0	1-2 Year	Yes	66,076	26	144	0
369,044	Female	60	1	15	1	1-2 Year	No	62,844	14	199	0
138,503	Male	40	1	13	0	1-2 Year	No	47,638	26	199	0
34,031	Female	28	1	46	1	< 1 Year	No	48,024	124	292	0
94,532	Male	21	1	46	1	< 1 Year	No	33,780	160	119	0
292,365	Female	25	1	22	1	< 1 Year	No	25,117	152	57	0
156,637	Female	23	1	21	0	< 1 Year	No	15,380	151	27	1
167,042	Female	46	1	28	0	1-2 Year	Yes	30,314	26	176	0
224,456	Female	22	1	46	1	< 1 Year	No	20,809	152	204	0
170,537	Female	25	1	30	1	< 1 Year	No	35,057	152	250	0
38,343	Male	21	1	28	0	< 1 Year	Yes	2,630	156	205	1
23,817	Female	32	1	49	0	1-2 Year	Yes	26,619	156	97	1
368,800	Male	25	1	32	1	< 1 Year	No	38,785	152	119	0
379,439	Male	39	1	17	1	1-2 Year	No	35,953	124	290	0
213,265	Female	54	1	6	0	1-2 Year	Yes	2,630	151	128	0
30,728	Male	23	1	36	0	< 1 Year	No	32,575	152	22	0
317,215	Male	22	1	8	1	< 1 Year	No	28,779	152	39	0
140,138	Male	50	1	15	1	1-2 Year	No	38,875	124	64	0
173,825	Female	25	1	2	0	< 1 Year	Yes	30,674	152	281	1
43,781	Male	32	1	11	1	1-2 Year	No	25,648	26	36	0
135,806	Male	23	1	46	1	< 1 Year	No	19,738	152	59	0
480,144	Male	34	1	47	0	1-2 Year	Yes	32,971	124	164	1
201,038	Male	58	1	8	0	1-2 Year	Yes	34,283	26	165	0
164,753	Male	63	1	39	1	1-2 Year	No	32,553	122	289	0
287,254	Male	24	1	11	1	< 1 Year	No	26,390	152	45	0
236,848	Female	25	1	21	1	< 1 Year	No	30,779	152	26	0
506,357	Female	25	1	3	1	< 1 Year	No	18,372	152	90	0
180,291	Female	24	1	15	0	< 1 Year	Yes	39,293	152	238	0
4,220	Male	24	1	6	1	< 1 Year	No	17,955	152	40	0
277,607	Male	28	1	17	1	< 1 Year	No	2,630	152	131	0
197,980	Female	49	1	8	0	1-2 Year	Yes	55,149	124	286	0
336,835	Female	42	1	33	0	1-2 Year	Yes	27,953	138	20	0
75,418	Male	46	1	27	0	1-2 Year	Yes	2,630	124	168	0
230,268	Female	20	1	28	0	< 1 Year	No	2,630	157	112	0
236,673	Male	37	1	23	1	1-2 Year	No	31,182	152	57	0
444,080	Female	37	1	28	0	1-2 Year	Yes	59,839	122	52	1
68,524	Female	33	1	28	1	< 1 Year	No	59,662	152	277	0
263,998	Male	23	1	28	1	< 1 Year	No	48,352	152	61	0
16,772	Male	55	1	8	0	1-2 Year	No	2,630	156	186	0
56,371	Male	51	1	8	1	1-2 Year	No	30,045	26	87	0
461,320	Male	50	1	30	1	1-2 Year	No	35,597	124	196	0
86,176	Male	44	1	18	1	1-2 Year	No	24,837	26	147	0
356,567	Male	51	1	28	1	1-2 Year	No	34,668	124	24	0
165,798	Female	25	1	30	1	< 1 Year	No	24,867	152	69	0
105,433	Male	50	1	46	1	1-2 Year	No	27,029	124	141	0
95,754	Female	24	1	30	1	< 1 Year	No	20,594	160	120	0
13,946	Male	44	1	46	0	1-2 Year	Yes	23,862	26	122	0
330,910	Male	46	1	8	1	1-2 Year	No	39,302	152	120	0
331,135	Female	53	1	28	0	1-2 Year	Yes	2,630	61	274	0
439,253	Male	39	1	36	0	1-2 Year	Yes	32,580	124	217	1
53,886	Male	42	1	21	0	1-2 Year	Yes	29,783	26	31	0
82,913	Female	25	1	30	1	< 1 Year	No	27,437	152	238	0
415,175	Female	24	1	15	1	< 1 Year	No	2,630	152	230	0
470,345	Female	56	1	28	1	1-2 Year	No	69,238	37	163	0
78,428	Female	49	1	28	1	1-2 Year	No	32,897	124	133	0
228,710	Male	54	1	46	0	1-2 Year	Yes	2,630	26	258	0
402,181	Female	49	1	28	0	1-2 Year	Yes	32,845	26	259	1
426,562	Male	48	1	28	0	1-2 Year	Yes	32,710	122	188	1
192,419	Female	24	1	6	1	< 1 Year	No	19,789	152	147	0
472,463	Female	25	1	28	1	< 1 Year	No	37,107	152	218	0
373,037	Female	23	1	28	1	< 1 Year	No	42,883	152	273	0
323,812	Female	48	1	48	0	1-2 Year	Yes	2,630	156	204	0
461,844	Female	25	1	8	1	< 1 Year	No	48,431	152	54	0
89,912	Male	27	1	3	1	< 1 Year	No	50,659	152	158	0
52,770	Female	25	1	27	1	< 1 Year	No	28,499	152	112	0
212,642	Male	51	1	35	0	1-2 Year	No	23,166	29	213	0
59,936	Male	43	1	48	0	1-2 Year	Yes	2,630	15	251	0

Subsets and Splits

No community queries yet

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