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
270,362	Female	69	1	33	1	1-2 Year	No	21,792	26	157	0
106,841	Female	37	1	46	1	1-2 Year	No	30,984	11	72	0
328,674	Female	42	1	28	0	1-2 Year	Yes	40,446	124	123	0
100,652	Male	51	1	8	0	> 2 Years	Yes	60,367	124	227	0
37,700	Male	40	1	37	0	1-2 Year	Yes	32,797	124	267	0
471,868	Female	53	1	28	0	1-2 Year	Yes	54,752	26	173	1
126,161	Male	25	1	34	1	< 1 Year	No	31,893	152	74	0
266,937	Male	23	1	12	1	< 1 Year	No	21,159	152	190	0
83,135	Male	53	1	45	1	1-2 Year	Yes	26,882	26	29	0
201,467	Male	48	1	2	1	1-2 Year	No	38,283	26	62	0
213,820	Female	23	1	28	1	< 1 Year	No	31,229	155	214	0
435,498	Female	46	1	28	1	1-2 Year	No	39,547	26	152	0
279,535	Male	34	1	8	1	< 1 Year	No	39,814	152	256	0
89,290	Female	72	1	28	1	1-2 Year	No	45,222	124	139	0
371,368	Male	46	1	15	1	1-2 Year	No	37,134	26	211	0
368,537	Male	53	1	3	1	1-2 Year	No	2,630	26	150	0
257,953	Female	25	1	29	0	< 1 Year	Yes	2,630	160	291	0
21,507	Female	66	0	28	0	1-2 Year	Yes	57,478	122	42	0
89,759	Female	32	1	27	0	1-2 Year	Yes	28,942	124	132	0
436,362	Female	35	1	10	0	1-2 Year	Yes	33,169	124	87	1
294,266	Female	49	1	28	0	1-2 Year	Yes	48,095	122	115	0
289,560	Male	28	1	29	1	< 1 Year	No	34,613	152	83	0
191,490	Male	24	1	50	1	< 1 Year	No	29,198	152	207	0
136,854	Female	31	1	15	1	< 1 Year	No	2,630	152	96	0
267,763	Female	58	1	28	1	1-2 Year	No	26,396	26	283	0
172,456	Female	51	1	50	0	1-2 Year	Yes	35,039	26	236	0
245,276	Male	23	1	3	0	< 1 Year	Yes	23,180	26	136	0
354,364	Female	44	1	50	0	1-2 Year	Yes	25,217	8	265	0
440,244	Female	22	1	8	1	< 1 Year	No	38,174	152	39	0
78,249	Female	46	1	29	0	1-2 Year	Yes	2,630	156	101	0
252,575	Male	43	1	28	0	1-2 Year	No	42,485	26	265	0
446,831	Female	70	1	28	1	1-2 Year	No	29,640	26	106	0
314,196	Male	25	1	47	1	< 1 Year	No	25,902	152	277	0
310,542	Female	26	1	15	1	< 1 Year	No	39,306	160	146	0
94,228	Female	55	1	43	0	1-2 Year	Yes	48,194	26	20	0
331,552	Female	68	1	15	0	1-2 Year	Yes	44,912	120	67	0
253,923	Male	22	1	28	1	< 1 Year	No	24,837	152	126	0
97,132	Male	25	1	29	1	< 1 Year	No	35,864	151	84	0
218,939	Male	27	1	18	1	< 1 Year	No	38,339	152	136	0
486,137	Male	44	1	28	0	1-2 Year	Yes	62,418	26	250	1
343,049	Male	20	1	27	0	< 1 Year	Yes	32,626	163	24	0
68,707	Male	21	1	15	0	< 1 Year	Yes	50,082	152	17	0
354,612	Male	47	1	8	0	1-2 Year	Yes	38,093	26	117	0
207,094	Female	43	1	19	1	1-2 Year	No	2,630	124	14	0
99,350	Female	27	1	18	1	< 1 Year	No	33,094	152	167	0
423,039	Male	23	1	8	1	< 1 Year	No	33,404	152	15	0
381,272	Male	23	1	3	1	< 1 Year	No	26,341	152	219	0
467,790	Male	50	1	28	1	1-2 Year	No	41,737	124	186	0
323,454	Female	58	1	28	0	> 2 Years	Yes	50,179	26	34	0
7,118	Male	62	1	28	0	1-2 Year	Yes	40,450	124	269	1
434,288	Female	24	1	30	1	< 1 Year	No	29,924	152	91	0
357,961	Male	58	1	43	0	> 2 Years	Yes	48,483	73	231	0
65,482	Male	37	1	12	0	1-2 Year	Yes	27,015	124	220	1
321,567	Female	24	1	6	1	< 1 Year	No	20,895	152	74	0
283,389	Male	21	1	25	1	< 1 Year	No	24,607	152	210	0
441,106	Female	76	1	28	1	1-2 Year	No	34,582	52	269	0
181,515	Male	55	1	0	0	1-2 Year	Yes	2,630	26	225	0
365,633	Male	76	1	39	1	1-2 Year	No	31,764	26	274	0
267,173	Female	25	1	46	1	< 1 Year	No	30,342	160	295	0
155,527	Female	24	1	41	1	< 1 Year	No	40,855	152	259	0
137,493	Male	52	1	8	1	1-2 Year	No	63,222	26	251	0
439,354	Male	22	1	46	1	< 1 Year	No	30,050	152	16	0
422,820	Male	31	1	28	0	1-2 Year	Yes	2,630	26	266	1
287,751	Male	29	1	28	0	< 1 Year	Yes	46,164	152	156	1
492,290	Female	30	1	8	1	< 1 Year	No	2,630	152	94	0
28,930	Male	40	1	33	1	1-2 Year	No	34,788	26	166	0
395,644	Female	29	1	28	1	< 1 Year	No	45,605	152	56	0
1,610	Female	42	1	8	0	1-2 Year	Yes	29,277	26	141	1
499,568	Male	56	1	29	0	1-2 Year	Yes	37,786	124	77	1
106,661	Male	23	1	11	1	< 1 Year	No	25,475	152	268	0
461,664	Male	71	1	28	1	1-2 Year	No	145,414	122	123	0
1,848	Female	21	1	37	1	< 1 Year	No	26,865	160	181	0
54,061	Male	39	1	28	0	1-2 Year	Yes	33,206	60	87	1
143,387	Female	45	1	8	0	1-2 Year	Yes	2,630	154	140	0
205,253	Male	21	1	30	1	< 1 Year	No	26,834	160	56	0
370,755	Male	29	1	30	1	< 1 Year	No	35,668	152	190	0
459,940	Male	41	1	41	0	1-2 Year	Yes	2,630	26	244	1
86,287	Female	37	1	11	1	1-2 Year	No	2,630	120	42	0
256,798	Female	51	1	11	0	1-2 Year	Yes	2,630	26	232	0
1,737	Male	26	1	29	0	< 1 Year	No	37,020	26	188	1
358,295	Female	24	1	50	1	< 1 Year	No	49,576	152	51	0
191,907	Male	66	1	28	0	> 2 Years	Yes	37,076	26	239	1
421,084	Male	24	1	6	1	< 1 Year	No	29,358	152	253	0
53,002	Female	25	1	45	1	< 1 Year	No	26,296	151	181	0
442,701	Male	36	1	9	0	1-2 Year	Yes	29,994	124	208	1
428,827	Male	39	1	8	0	1-2 Year	Yes	47,832	26	194	1
37,776	Male	30	1	28	1	< 1 Year	No	30,446	152	182	0
115,443	Male	25	1	30	1	< 1 Year	No	2,630	152	269	0
259,634	Male	24	1	41	0	< 1 Year	Yes	40,861	152	112	0
363,241	Female	24	1	47	1	< 1 Year	No	28,787	152	139	0
254,119	Male	24	1	43	1	< 1 Year	No	33,050	152	26	0
48,429	Male	24	1	31	0	< 1 Year	Yes	2,630	152	186	0
264,045	Female	57	1	28	0	1-2 Year	Yes	37,660	124	139	0
490,184	Male	35	1	23	0	1-2 Year	Yes	2,630	157	293	1
291,520	Male	24	1	10	0	< 1 Year	Yes	40,045	152	40	0
167,061	Male	27	1	35	1	< 1 Year	No	25,574	152	144	0
327,626	Female	39	1	21	0	1-2 Year	Yes	2,630	154	296	0
222,471	Male	23	1	8	1	< 1 Year	No	41,775	152	240	0
454,240	Female	50	1	15	0	1-2 Year	Yes	23,390	154	205	1
75,630	Male	39	1	28	0	1-2 Year	No	35,351	124	68	1

Subsets and Splits

No community queries yet

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