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
368,687	Female	66	1	28	1	1-2 Year	No	35,845	124	215	0
466,545	Female	47	1	30	1	1-2 Year	No	2,630	26	37	0
45,444	Female	21	1	36	0	< 1 Year	No	2,630	160	256	0
444,003	Male	33	1	11	0	< 1 Year	Yes	30,656	152	149	1
75,368	Male	32	1	33	1	< 1 Year	No	25,551	152	179	0
428,004	Male	73	1	28	1	1-2 Year	No	2,630	26	295	0
452,584	Male	49	1	8	0	1-2 Year	Yes	38,366	26	124	1
339,553	Male	24	1	43	1	< 1 Year	No	23,895	152	113	0
158,394	Male	55	1	14	0	1-2 Year	Yes	25,749	26	298	0
262,211	Female	50	1	28	0	1-2 Year	Yes	76,276	124	278	1
395,979	Male	28	1	28	1	< 1 Year	No	55,041	152	91	0
339,485	Female	48	1	50	0	1-2 Year	No	34,667	124	189	0
491,960	Female	27	1	28	1	< 1 Year	No	31,620	152	23	0
80,781	Female	25	1	10	0	< 1 Year	No	36,884	152	54	0
18,467	Male	46	1	28	0	1-2 Year	Yes	29,069	11	245	0
237,131	Female	36	1	11	0	1-2 Year	Yes	34,178	124	115	0
273,193	Male	63	1	46	0	1-2 Year	No	45,323	92	85	0
33,217	Female	30	1	22	1	< 1 Year	No	27,923	152	34	0
213,581	Female	24	1	41	1	< 1 Year	No	27,715	152	261	0
10,211	Female	23	1	8	1	< 1 Year	No	31,862	151	225	0
55,433	Female	27	1	18	1	< 1 Year	No	32,787	152	61	0
217,543	Male	38	1	28	1	1-2 Year	No	49,773	124	258	0
46,198	Male	48	1	28	0	1-2 Year	Yes	44,856	26	158	1
420,980	Male	21	1	32	1	< 1 Year	No	30,109	152	62	0
239,932	Male	60	1	28	0	1-2 Year	Yes	34,734	124	85	0
353,999	Male	45	1	28	0	1-2 Year	Yes	49,309	26	208	0
222,425	Female	70	1	28	0	1-2 Year	Yes	45,963	26	218	1
75,564	Male	48	1	28	0	1-2 Year	Yes	36,166	26	262	0
11,207	Female	43	1	28	0	1-2 Year	Yes	44,276	52	46	0
79,806	Male	54	1	42	0	1-2 Year	Yes	28,483	26	14	0
275,022	Male	21	1	46	1	< 1 Year	No	23,364	152	146	0
435,660	Female	35	1	21	1	1-2 Year	No	39,364	151	260	0
406,733	Male	45	1	28	0	1-2 Year	Yes	2,630	26	101	1
16,959	Male	22	1	30	1	< 1 Year	No	23,597	152	71	0
431,428	Female	48	1	28	1	1-2 Year	No	27,047	55	43	0
234,600	Female	25	1	33	1	< 1 Year	No	32,344	152	93	0
53,415	Female	77	1	15	1	1-2 Year	No	37,024	124	17	0
337,936	Male	21	1	29	1	< 1 Year	No	27,863	152	244	0
351,949	Female	55	1	46	0	1-2 Year	Yes	46,391	3	92	1
389,533	Male	24	1	36	1	< 1 Year	No	45,599	152	123	0
477,407	Male	32	1	41	0	1-2 Year	Yes	30,015	26	226	1
188,735	Male	27	1	41	1	< 1 Year	No	35,683	152	36	0
408,385	Female	68	1	28	1	1-2 Year	No	50,595	122	27	0
13,927	Male	25	1	28	1	< 1 Year	No	28,515	152	91	0
311,449	Male	25	1	12	1	< 1 Year	No	16,961	152	124	0
166,530	Female	22	1	41	1	< 1 Year	No	28,055	152	239	0
88,064	Male	52	1	45	0	1-2 Year	Yes	2,630	26	123	0
26,027	Female	35	1	36	1	1-2 Year	Yes	2,630	156	18	0
341,759	Female	51	1	28	0	1-2 Year	Yes	51,568	122	100	0
464,784	Female	56	1	33	0	1-2 Year	Yes	2,630	157	104	1
295,532	Male	43	1	19	0	1-2 Year	Yes	2,630	124	211	0
316,917	Male	69	1	28	0	1-2 Year	No	41,802	26	240	0
465,551	Male	49	1	8	0	1-2 Year	Yes	37,048	26	151	1
212,503	Male	43	1	8	1	1-2 Year	No	34,729	124	94	0
431,821	Female	28	1	36	1	< 1 Year	No	32,265	152	240	0
144,986	Male	39	1	10	0	1-2 Year	Yes	2,630	163	248	0
34,354	Male	25	1	45	1	< 1 Year	No	23,311	152	296	0
181,760	Male	22	1	2	0	< 1 Year	Yes	28,737	152	270	0
172,915	Female	39	1	50	1	1-2 Year	No	27,793	8	75	0
479,773	Male	24	1	10	1	< 1 Year	No	29,170	152	111	0
32,550	Male	21	1	36	1	< 1 Year	No	30,542	160	102	0
179,290	Female	25	1	28	1	< 1 Year	No	65,203	152	128	0
405,593	Male	40	1	28	0	1-2 Year	Yes	22,373	124	63	1
364,628	Female	26	1	11	1	< 1 Year	No	29,259	152	172	0
264,635	Female	25	1	28	0	< 1 Year	Yes	45,984	152	133	0
81,554	Female	27	1	31	1	< 1 Year	No	2,630	152	206	0
85,912	Female	20	1	37	0	< 1 Year	Yes	33,245	160	27	0
124,328	Male	48	1	43	0	1-2 Year	Yes	31,315	124	185	0
375,726	Male	76	1	46	0	1-2 Year	Yes	27,296	124	62	0
179,331	Male	66	1	28	1	1-2 Year	No	39,664	26	104	0
293,078	Female	22	1	15	0	< 1 Year	Yes	44,900	152	158	0
140,604	Female	50	1	39	1	1-2 Year	No	2,630	127	80	0
8,006	Male	22	1	37	1	< 1 Year	No	19,631	26	166	0
438,463	Male	60	1	48	1	1-2 Year	No	2,630	15	35	0
370,129	Female	24	1	2	1	< 1 Year	No	32,812	152	247	0
431,924	Male	45	1	28	0	1-2 Year	Yes	41,200	124	171	1
494,106	Male	43	1	13	1	1-2 Year	No	2,630	26	284	0
349,973	Male	26	1	39	1	< 1 Year	No	2,630	160	202	0
337,135	Male	77	1	28	0	1-2 Year	Yes	46,354	122	69	0
39,985	Female	22	1	45	1	< 1 Year	Yes	2,630	160	158	0
407,096	Female	51	1	8	1	1-2 Year	No	2,630	124	271	0
279,833	Male	24	1	11	1	< 1 Year	No	25,221	152	77	0
175,410	Female	26	1	46	1	< 1 Year	No	27,355	152	46	0
105,626	Female	44	1	28	0	1-2 Year	No	65,920	13	92	0
431,460	Female	26	1	32	1	< 1 Year	No	23,423	152	10	0
281,587	Male	23	1	47	0	< 1 Year	Yes	37,864	152	251	0
420,181	Female	25	1	46	1	< 1 Year	No	44,164	152	48	0
346,259	Male	47	1	28	0	1-2 Year	Yes	66,340	26	23	1
354,605	Male	59	1	47	0	1-2 Year	No	31,613	152	290	0
350,268	Female	23	1	30	1	< 1 Year	No	22,847	152	231	0
367,593	Female	26	1	29	1	< 1 Year	No	23,741	152	75	0
507,888	Male	27	1	29	1	< 1 Year	No	34,038	152	51	0
218,739	Female	28	1	28	0	< 1 Year	Yes	39,501	160	28	0
225,303	Female	39	1	28	0	1-2 Year	Yes	43,899	124	102	1
50,762	Female	24	1	13	0	< 1 Year	No	23,720	160	131	0
5,831	Male	23	1	2	1	< 1 Year	No	2,630	152	44	0
109,937	Male	78	1	47	0	1-2 Year	No	24,143	16	263	0
256,609	Female	26	1	28	0	< 1 Year	Yes	2,630	156	132	1
380,624	Female	24	1	21	1	< 1 Year	No	21,316	152	131	0
55,726	Female	22	1	30	1	< 1 Year	No	32,736	152	245	0

Subsets and Splits

No community queries yet

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