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
140,953	Male	36	1	28	0	1-2 Year	No	38,104	122	133	0
285,161	Male	48	1	28	0	1-2 Year	Yes	44,406	26	263	0
139,533	Male	59	1	46	0	1-2 Year	Yes	35,967	154	74	0
309,012	Male	61	1	28	0	1-2 Year	Yes	23,483	124	58	0
486,707	Male	27	1	29	1	< 1 Year	No	2,630	160	103	0
5,765	Female	28	1	11	1	< 1 Year	No	39,741	152	184	0
137,093	Male	60	1	48	1	1-2 Year	No	2,630	26	297	0
251,203	Female	24	1	18	1	< 1 Year	No	37,619	152	203	0
366,412	Male	54	1	8	1	1-2 Year	No	2,630	26	240	0
489,093	Female	50	1	30	1	1-2 Year	No	2,630	124	54	0
129,070	Female	23	1	27	0	< 1 Year	Yes	26,845	26	170	0
324,653	Male	70	1	41	1	1-2 Year	No	41,291	26	65	0
6,346	Male	48	1	28	0	1-2 Year	Yes	41,988	26	160	0
97,461	Female	31	1	21	1	< 1 Year	No	21,434	152	120	0
278,135	Female	23	1	3	1	< 1 Year	No	2,630	152	233	0
366,853	Male	43	1	28	1	1-2 Year	Yes	34,867	124	237	0
176,341	Male	32	1	45	0	1-2 Year	Yes	31,206	124	20	1
370,234	Male	24	1	47	0	< 1 Year	Yes	26,029	152	18	0
85,990	Male	70	1	30	1	1-2 Year	No	36,167	155	41	0
503,804	Male	28	1	3	0	< 1 Year	Yes	29,882	163	146	1
267,682	Male	21	1	3	0	< 1 Year	Yes	2,630	160	165	0
180,838	Female	26	1	8	1	< 1 Year	No	42,850	152	18	0
297,663	Male	23	1	29	1	< 1 Year	Yes	2,630	156	68	0
167,594	Male	46	1	28	0	> 2 Years	Yes	54,515	124	63	0
235,371	Female	23	1	8	1	< 1 Year	No	36,199	160	112	0
203,934	Male	51	1	29	0	> 2 Years	Yes	41,618	26	130	0
448,584	Female	31	1	30	1	< 1 Year	No	30,898	152	258	0
324,688	Female	24	1	46	1	< 1 Year	No	41,282	152	80	0
333,111	Male	36	1	46	1	1-2 Year	No	31,264	124	30	0
30,191	Male	28	1	33	1	< 1 Year	No	33,516	152	275	0
106,884	Female	47	1	29	0	1-2 Year	No	2,630	157	205	0
328,814	Female	54	1	33	0	1-2 Year	Yes	2,630	124	192	0
8,648	Male	24	1	47	1	< 1 Year	No	43,836	152	161	0
374,275	Female	56	1	14	0	1-2 Year	Yes	26,175	157	86	0
255,474	Female	24	1	34	0	< 1 Year	No	30,756	152	226	0
133,284	Female	45	1	28	0	1-2 Year	Yes	50,277	26	94	0
430,408	Male	57	1	28	1	1-2 Year	No	59,789	124	54	0
81,841	Female	46	1	33	1	1-2 Year	No	31,321	26	93	0
42,788	Male	57	1	28	0	1-2 Year	Yes	38,668	122	182	0
372,353	Female	53	1	28	1	1-2 Year	No	36,252	29	245	0
196,271	Male	31	1	11	1	< 1 Year	No	29,724	152	150	0
290,056	Male	35	1	28	0	1-2 Year	Yes	38,968	29	294	0
352,126	Female	70	1	43	0	1-2 Year	Yes	32,029	26	271	0
407,731	Female	26	1	30	1	< 1 Year	No	26,698	152	142	0
299,886	Female	23	1	28	0	1-2 Year	Yes	25,993	124	152	0
22,018	Male	23	1	25	1	< 1 Year	No	35,331	152	87	0
177,339	Female	25	1	2	0	< 1 Year	Yes	24,922	152	200	0
414,175	Female	26	1	30	1	< 1 Year	No	23,752	152	13	0
426,525	Male	30	1	46	0	< 1 Year	Yes	20,115	124	290	1
354,701	Male	24	1	37	1	< 1 Year	Yes	25,942	151	260	0
288,566	Male	66	1	50	1	1-2 Year	No	32,492	64	224	0
307,451	Male	70	1	28	1	1-2 Year	No	38,068	26	79	0
69,278	Male	25	1	34	0	< 1 Year	Yes	28,613	26	262	0
114,054	Female	55	1	12	0	1-2 Year	Yes	2,630	156	90	0
284,674	Female	22	1	18	1	< 1 Year	No	2,630	152	267	0
162,312	Female	20	1	41	1	< 1 Year	Yes	2,630	156	220	0
306,539	Female	25	1	7	0	< 1 Year	Yes	2,630	152	244	0
484,280	Male	50	1	3	0	1-2 Year	Yes	23,727	124	89	1
91,178	Female	21	1	43	1	< 1 Year	No	26,638	152	188	0
32,436	Female	50	1	6	0	1-2 Year	Yes	24,637	26	281	0
39,261	Male	40	1	34	0	1-2 Year	Yes	22,760	26	196	0
307,415	Male	31	1	50	1	< 1 Year	No	49,526	152	38	0
212,062	Female	42	1	28	0	1-2 Year	Yes	26,507	26	292	0
55,664	Male	26	1	33	1	< 1 Year	No	39,048	26	173	0
340,779	Male	63	1	28	0	1-2 Year	Yes	86,013	26	128	0
284,637	Male	26	1	8	1	< 1 Year	No	31,325	152	189	0
344,518	Female	28	1	30	1	< 1 Year	No	25,831	152	120	0
338,401	Male	24	1	15	0	< 1 Year	No	33,227	152	244	0
274,939	Male	47	1	46	0	1-2 Year	No	2,630	124	49	1
43,064	Male	46	1	28	0	1-2 Year	Yes	58,358	26	128	0
171,789	Female	43	1	28	1	1-2 Year	No	42,652	122	104	0
475,692	Male	24	1	8	1	< 1 Year	No	39,319	152	170	0
338,575	Male	26	1	41	1	< 1 Year	No	27,581	152	202	0
491,903	Male	41	1	46	1	1-2 Year	No	27,117	26	44	0
405,353	Female	22	1	8	1	< 1 Year	No	31,085	152	81	0
274,654	Male	38	1	10	0	1-2 Year	No	29,714	124	158	0
428,802	Male	33	1	28	0	1-2 Year	Yes	48,995	124	77	1
249,616	Female	44	1	48	0	1-2 Year	Yes	2,630	26	154	0
503,890	Male	44	1	36	0	1-2 Year	Yes	39,698	124	132	1
207,480	Female	27	1	45	1	< 1 Year	No	28,605	152	112	0
101,790	Female	43	1	29	1	1-2 Year	No	2,630	26	26	0
160,836	Male	24	1	35	1	< 1 Year	No	32,575	152	260	0
248,178	Male	27	1	11	1	< 1 Year	No	2,630	152	137	0
259,104	Male	30	1	30	1	< 1 Year	No	28,293	152	144	0
470,870	Male	37	1	46	0	1-2 Year	Yes	28,477	124	155	1
488,222	Female	23	1	46	1	< 1 Year	No	29,928	152	56	0
174,101	Female	41	1	28	0	1-2 Year	No	53,001	124	296	0
337,981	Male	23	1	14	1	< 1 Year	No	37,038	152	250	0
52,298	Male	31	1	46	0	< 1 Year	Yes	33,940	152	81	0
106,618	Female	65	1	41	0	1-2 Year	No	2,630	26	43	0
266,341	Female	22	1	28	1	< 1 Year	No	49,978	152	45	0
487,289	Female	59	1	11	1	1-2 Year	No	37,078	26	286	0
330,082	Male	45	1	28	0	1-2 Year	Yes	45,509	124	259	0
356,090	Male	61	1	28	1	1-2 Year	No	38,308	124	18	0
222,476	Male	50	1	41	1	1-2 Year	No	46,162	26	216	0
380,274	Male	27	1	18	1	< 1 Year	No	27,823	152	275	0
393,497	Male	37	1	10	1	1-2 Year	No	32,106	152	51	0
274,211	Female	42	1	28	1	1-2 Year	No	2,630	26	170	0
433,547	Male	20	1	3	1	< 1 Year	No	20,083	160	265	0
134,888	Female	24	1	10	0	< 1 Year	Yes	27,433	152	11	1

Subsets and Splits

No community queries yet

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