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
34,751	Male	44	1	46	1	1-2 Year	No	31,389	152	109	0
384,509	Male	24	1	41	1	< 1 Year	No	51,554	152	71	0
432,665	Male	22	1	21	1	< 1 Year	No	34,937	152	243	0
295,931	Male	44	1	43	0	1-2 Year	Yes	35,738	124	131	0
90,347	Male	50	1	8	0	1-2 Year	No	40,445	124	33	0
7,853	Male	37	1	28	0	1-2 Year	Yes	29,184	26	14	1
260,660	Female	23	1	8	0	< 1 Year	No	27,857	152	15	0
340,006	Male	43	1	8	0	1-2 Year	Yes	2,630	124	204	0
303,198	Male	23	1	2	1	< 1 Year	No	31,641	152	180	0
102,361	Male	24	1	28	0	< 1 Year	Yes	2,630	152	260	0
341,070	Female	47	1	27	0	1-2 Year	Yes	24,042	26	32	0
334,026	Male	43	1	28	0	1-2 Year	Yes	43,397	13	269	0
99,658	Female	57	1	41	1	1-2 Year	No	29,201	26	258	0
128,678	Female	24	1	6	1	< 1 Year	No	33,442	152	252	0
43,150	Male	24	1	28	1	< 1 Year	No	56,488	152	222	0
11,928	Male	23	1	42	0	< 1 Year	Yes	2,630	152	191	0
255,816	Female	22	1	8	1	< 1 Year	No	55,985	152	210	0
188,150	Male	45	1	8	0	1-2 Year	Yes	42,742	124	263	0
185,800	Male	39	1	48	0	1-2 Year	Yes	2,630	122	91	1
4,826	Male	62	1	39	1	1-2 Year	No	36,965	124	93	0
308,927	Male	23	1	8	0	< 1 Year	Yes	34,680	152	191	0
309,838	Male	26	1	28	0	< 1 Year	Yes	89,637	26	88	0
167,296	Female	58	1	28	1	1-2 Year	No	51,812	154	75	0
268,174	Female	23	1	8	1	< 1 Year	No	46,517	152	269	0
22,730	Male	28	1	28	1	< 1 Year	No	42,186	152	130	0
20,868	Female	39	1	15	1	1-2 Year	No	39,660	152	254	0
388,733	Male	31	1	28	1	< 1 Year	No	42,609	152	272	0
177,759	Female	21	1	35	1	< 1 Year	No	43,809	152	248	0
480,087	Male	23	1	29	1	< 1 Year	No	2,630	160	106	0
445,314	Female	28	1	11	1	< 1 Year	No	25,405	152	141	0
41,413	Female	23	1	6	1	< 1 Year	No	23,801	26	299	0
203,979	Male	52	1	28	0	1-2 Year	Yes	34,616	26	268	0
178,319	Male	62	1	28	0	1-2 Year	Yes	49,022	30	291	0
8,911	Female	23	1	48	0	< 1 Year	Yes	2,630	156	287	0
337,620	Male	26	1	46	0	< 1 Year	Yes	34,018	152	154	0
83,426	Male	28	1	15	1	< 1 Year	No	37,837	152	135	0
314,662	Female	22	1	41	1	< 1 Year	No	32,191	152	200	0
359,990	Male	49	1	41	1	1-2 Year	No	51,737	124	11	0
128,672	Male	42	1	8	0	> 2 Years	Yes	68,025	26	100	1
243,918	Female	39	1	28	1	1-2 Year	No	38,947	124	248	0
32,309	Male	26	1	41	1	< 1 Year	No	34,856	152	33	0
58,992	Male	38	1	3	0	1-2 Year	Yes	34,285	124	226	0
329,714	Male	50	1	28	0	1-2 Year	Yes	30,650	122	87	0
431,285	Male	43	1	28	0	> 2 Years	Yes	35,055	26	188	1
367,479	Female	48	1	48	0	1-2 Year	Yes	2,630	26	95	0
41,620	Male	27	1	48	0	< 1 Year	Yes	2,630	152	21	0
136,849	Female	44	1	28	0	1-2 Year	Yes	42,578	124	128	1
123,895	Female	65	1	18	1	1-2 Year	No	40,326	26	263	0
173,134	Female	20	1	24	0	< 1 Year	No	25,874	160	99	0
120,311	Female	28	1	46	1	< 1 Year	No	39,568	26	223	0
47,307	Female	27	1	11	1	< 1 Year	No	29,996	152	144	0
506,959	Male	59	1	28	0	1-2 Year	Yes	55,358	26	59	1
96,389	Male	69	1	8	1	1-2 Year	Yes	33,629	8	285	0
169,544	Male	56	1	0	0	> 2 Years	Yes	2,630	30	11	0
125,850	Male	47	1	47	0	1-2 Year	Yes	33,396	26	18	0
262,623	Male	25	1	19	1	< 1 Year	Yes	42,411	152	101	0
224,298	Male	39	1	2	1	1-2 Year	No	37,546	26	63	0
106,689	Female	29	1	25	1	< 1 Year	No	57,036	152	86	0
387,216	Female	22	1	46	1	< 1 Year	No	25,015	152	222	0
328,809	Male	37	1	35	1	1-2 Year	No	2,630	124	271	0
507,358	Male	52	1	41	0	> 2 Years	Yes	32,836	26	249	1
48,121	Female	36	1	28	0	1-2 Year	Yes	40,394	26	49	0
51,578	Female	47	1	8	0	1-2 Year	Yes	40,404	26	111	0
159,905	Male	24	1	41	1	< 1 Year	No	30,912	152	211	0
11,985	Male	21	1	46	1	< 1 Year	No	37,430	152	143	0
259,331	Female	64	1	52	1	1-2 Year	No	41,740	124	185	0
421,309	Female	45	1	41	0	1-2 Year	Yes	36,867	26	131	1
227,050	Female	23	1	28	0	1-2 Year	Yes	29,254	156	278	0
506,573	Male	25	1	29	1	< 1 Year	No	31,072	152	195	0
168,427	Male	41	1	51	0	1-2 Year	Yes	106,035	124	253	0
271,338	Male	43	1	28	1	1-2 Year	No	25,027	124	54	0
358,438	Female	72	1	28	0	> 2 Years	Yes	49,652	122	68	0
275,815	Female	77	1	41	0	> 2 Years	Yes	44,712	124	172	0
55,873	Male	42	1	28	0	1-2 Year	Yes	41,263	26	16	0
498,629	Female	47	1	29	0	1-2 Year	Yes	2,630	156	48	1
180,618	Male	74	1	28	1	1-2 Year	Yes	36,400	25	248	0
461,992	Female	25	1	8	1	< 1 Year	No	42,404	152	194	0
127,571	Male	65	1	8	0	1-2 Year	Yes	61,014	26	117	0
437,056	Male	64	1	33	1	1-2 Year	No	2,630	26	281	0
119,862	Male	25	1	8	1	< 1 Year	No	27,307	160	250	0
67,312	Male	38	1	28	1	1-2 Year	No	53,357	124	74	0
169,263	Female	47	1	28	0	1-2 Year	Yes	31,571	26	172	0
374,449	Male	77	1	8	0	1-2 Year	Yes	2,630	124	265	0
276,682	Male	24	1	28	1	< 1 Year	No	24,900	152	242	0
395,130	Male	38	1	46	0	1-2 Year	Yes	25,379	124	121	1
331,392	Male	60	1	39	0	1-2 Year	Yes	2,630	15	187	1
343,997	Male	45	1	28	1	1-2 Year	No	42,333	124	30	0
484,266	Female	30	1	28	1	< 1 Year	No	2,630	152	141	0
308,433	Male	49	1	41	0	1-2 Year	Yes	27,410	116	159	0
165,698	Female	75	1	28	0	1-2 Year	Yes	41,219	124	15	0
227,826	Female	25	1	33	1	< 1 Year	No	25,362	152	92	0
244,991	Female	53	1	50	0	1-2 Year	Yes	42,093	124	166	0
91,151	Male	23	1	29	1	< 1 Year	No	33,799	152	35	0
482,072	Male	55	1	28	1	1-2 Year	No	43,281	124	204	0
183,097	Female	51	1	28	0	1-2 Year	Yes	49,458	26	295	0
161,853	Male	44	1	45	0	1-2 Year	Yes	28,656	26	198	0
152,478	Male	44	1	28	0	1-2 Year	Yes	38,422	26	44	0
360,868	Female	43	1	48	0	1-2 Year	Yes	2,630	156	134	0
399,276	Male	49	1	41	0	1-2 Year	Yes	24,106	26	210	1
260,482	Male	38	1	45	0	1-2 Year	Yes	2,630	124	132	0

Subsets and Splits

No community queries yet

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