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
149,884	Male	22	1	36	1	< 1 Year	No	34,561	152	70	0
157,393	Female	20	1	13	1	< 1 Year	No	17,679	160	67	0
260,256	Female	27	1	6	1	< 1 Year	No	34,304	152	80	0
285,673	Male	58	1	28	0	> 2 Years	Yes	31,221	122	249	0
485,033	Female	33	1	8	0	1-2 Year	Yes	2,630	156	203	1
254,288	Male	24	1	28	1	< 1 Year	No	57,196	26	57	0
396,737	Female	60	1	18	1	1-2 Year	No	37,410	131	172	0
102,078	Female	26	1	11	1	< 1 Year	No	31,170	152	257	0
207,943	Female	22	1	2	0	< 1 Year	Yes	31,330	152	76	0
463,847	Male	31	1	28	0	< 1 Year	Yes	58,374	26	106	1
68,448	Female	61	1	28	0	1-2 Year	Yes	41,587	122	270	0
37,978	Female	21	1	41	1	< 1 Year	No	24,989	152	158	0
314,000	Male	58	1	28	0	> 2 Years	Yes	40,696	26	149	0
205,896	Female	47	1	15	1	1-2 Year	No	32,476	124	113	0
163,055	Male	47	1	12	0	1-2 Year	Yes	2,630	157	285	1
414,554	Female	28	1	46	1	< 1 Year	No	17,033	152	260	0
137,997	Male	38	1	31	0	> 2 Years	Yes	2,630	124	231	0
432,744	Male	44	1	28	0	1-2 Year	Yes	34,316	124	154	1
327,531	Male	36	1	28	1	1-2 Year	No	38,325	124	55	0
304,001	Male	42	1	11	0	1-2 Year	Yes	37,459	124	109	0
208,350	Female	22	1	12	0	< 1 Year	No	31,857	152	236	0
159,306	Male	23	1	5	0	< 1 Year	Yes	2,630	160	298	0
469,420	Female	27	1	11	1	< 1 Year	No	31,674	152	154	0
465,900	Female	22	1	41	1	< 1 Year	No	34,609	152	236	0
250,298	Female	39	1	28	0	1-2 Year	Yes	45,977	124	118	0
261,386	Male	66	1	25	1	1-2 Year	Yes	30,110	30	95	0
26,246	Male	65	1	9	0	1-2 Year	Yes	27,353	26	181	0
62,052	Male	23	1	28	0	< 1 Year	Yes	41,306	152	291	0
502,537	Female	24	1	46	1	< 1 Year	No	38,028	152	179	0
111,978	Male	49	1	15	1	1-2 Year	No	35,745	124	160	0
328,555	Male	22	1	13	1	< 1 Year	No	26,598	152	201	0
153,727	Male	72	1	8	0	1-2 Year	Yes	2,630	157	52	1
9,008	Female	26	1	35	0	< 1 Year	Yes	39,926	152	255	0
175,505	Male	21	1	28	0	< 1 Year	Yes	40,320	152	184	1
295,289	Male	40	1	8	0	1-2 Year	Yes	32,453	124	284	0
288,304	Male	23	1	8	1	< 1 Year	No	30,737	152	61	0
94,180	Female	45	1	28	1	1-2 Year	No	33,633	122	50	0
392,587	Female	26	1	11	1	< 1 Year	No	26,371	152	212	0
191,435	Male	38	1	28	1	1-2 Year	No	30,761	124	57	0
403,779	Male	23	1	28	1	< 1 Year	No	65,606	152	70	0
490,601	Male	32	1	27	0	1-2 Year	Yes	2,630	157	131	1
253,927	Female	46	1	3	0	1-2 Year	Yes	19,481	26	69	1
328,395	Female	27	1	37	1	< 1 Year	No	38,268	26	67	0
64,103	Female	35	1	36	0	1-2 Year	Yes	2,630	26	148	0
347,034	Male	23	1	18	1	< 1 Year	No	29,020	152	36	0
339,623	Female	26	1	36	0	< 1 Year	Yes	24,775	152	207	0
170,259	Male	22	1	6	1	< 1 Year	No	27,035	152	280	0
106,075	Male	28	1	30	1	< 1 Year	No	30,863	152	17	0
244,192	Female	59	1	46	1	1-2 Year	No	22,797	11	245	0
255,900	Male	29	1	46	1	< 1 Year	No	39,262	152	205	0
208,606	Male	25	1	11	1	< 1 Year	No	28,897	152	174	0
128,440	Male	30	1	28	0	1-2 Year	Yes	2,630	156	275	0
137,596	Female	27	1	21	1	< 1 Year	No	24,540	152	267	0
355,604	Female	27	1	28	0	1-2 Year	Yes	60,856	122	45	0
366,624	Female	28	1	28	1	< 1 Year	No	27,794	152	243	0
394,503	Female	23	1	46	1	< 1 Year	No	2,630	160	81	0
151,857	Female	48	1	28	1	1-2 Year	Yes	2,630	26	277	0
438,968	Male	49	1	28	1	1-2 Year	No	37,249	124	53	0
278,607	Female	37	1	41	1	1-2 Year	No	22,006	12	218	0
447,313	Female	59	1	8	1	1-2 Year	No	49,030	124	167	0
268,930	Female	26	1	28	1	< 1 Year	No	39,515	152	188	0
501,922	Male	41	1	41	0	1-2 Year	Yes	29,663	26	177	1
82,317	Male	29	1	15	0	< 1 Year	No	37,461	152	12	1
72,891	Male	41	1	39	0	1-2 Year	No	34,052	124	232	0
261,702	Male	28	1	10	0	< 1 Year	Yes	53,382	152	125	0
379,658	Female	27	1	15	1	< 1 Year	No	49,258	152	13	0
25,190	Male	45	1	28	0	1-2 Year	Yes	35,149	26	298	1
442,796	Male	28	1	14	1	< 1 Year	No	2,630	152	198	0
258,778	Male	37	1	28	0	1-2 Year	Yes	33,846	124	153	0
310,280	Male	21	1	36	1	< 1 Year	No	43,525	160	211	0
283,237	Female	28	1	8	1	< 1 Year	No	45,295	152	82	0
451,731	Male	32	1	28	0	1-2 Year	Yes	2,630	124	34	1
52,865	Male	22	1	3	1	< 1 Year	No	16,761	26	95	0
374,224	Female	23	1	28	0	< 1 Year	Yes	36,014	124	203	0
240,202	Male	20	1	15	0	< 1 Year	Yes	60,571	160	109	0
466,578	Female	22	1	8	1	< 1 Year	No	25,285	152	216	0
132,718	Female	23	1	3	0	< 1 Year	Yes	2,630	124	204	0
380,539	Male	39	1	8	1	1-2 Year	No	50,838	26	280	0
272,561	Male	55	1	28	0	1-2 Year	Yes	37,496	124	21	0
357,853	Female	60	1	28	0	1-2 Year	Yes	72,432	26	57	0
20,262	Female	47	1	2	0	1-2 Year	Yes	2,630	124	261	0
51,226	Female	25	1	20	1	< 1 Year	No	2,630	152	120	0
318,541	Female	34	1	28	0	1-2 Year	Yes	41,748	154	30	0
103,642	Male	43	1	15	0	1-2 Year	Yes	2,630	154	193	0
396,534	Male	42	1	28	0	1-2 Year	Yes	29,865	26	186	1
106,089	Male	29	1	21	1	< 1 Year	No	37,221	152	225	0
67,648	Female	74	1	46	1	1-2 Year	No	2,630	26	19	0
220,068	Male	30	1	33	1	< 1 Year	No	2,630	160	274	0
177,956	Male	38	1	21	0	1-2 Year	Yes	28,947	152	264	0
84,254	Male	41	1	41	0	1-2 Year	Yes	35,200	124	106	0
345,012	Female	30	1	7	0	< 1 Year	Yes	39,377	156	260	0
471,801	Male	24	1	23	1	< 1 Year	No	25,308	152	272	0
367,991	Male	56	1	15	1	1-2 Year	No	34,443	120	229	0
131,129	Male	43	1	19	0	1-2 Year	Yes	28,084	124	123	0
140,934	Male	63	1	47	1	1-2 Year	No	38,281	124	257	0
212,131	Female	23	1	41	1	< 1 Year	No	47,293	152	82	0
107,965	Male	56	1	8	1	1-2 Year	No	31,224	124	201	0
4,420	Female	61	1	29	0	1-2 Year	Yes	39,509	120	121	1
376,837	Female	64	1	11	0	1-2 Year	Yes	25,599	12	74	0
131,479	Male	54	1	17	0	1-2 Year	Yes	28,664	26	158	1

Subsets and Splits

No community queries yet

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