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
398,932	Male	44	1	14	0	> 2 Years	Yes	27,202	26	193	1
228,993	Male	23	1	33	1	< 1 Year	No	33,877	152	158	0
94,752	Male	33	1	28	0	1-2 Year	Yes	2,630	163	177	0
212,005	Male	41	1	28	0	1-2 Year	Yes	33,226	26	193	0
311,519	Male	43	1	28	1	1-2 Year	No	38,051	124	278	0
190,063	Female	24	1	37	0	< 1 Year	Yes	32,838	152	189	0
502,591	Female	35	1	45	1	1-2 Year	No	37,859	152	161	0
330,528	Female	20	1	9	0	< 1 Year	Yes	40,517	160	111	0
435,565	Female	32	1	11	1	< 1 Year	No	22,191	152	21	0
121,396	Male	35	1	48	0	1-2 Year	Yes	2,630	156	203	0
296,110	Female	23	1	50	0	< 1 Year	Yes	37,139	152	249	0
286,360	Male	28	1	28	1	< 1 Year	No	32,125	152	77	0
468,380	Female	21	1	30	1	< 1 Year	No	27,746	160	287	0
455,444	Male	27	1	29	1	< 1 Year	No	28,601	26	56	0
328,887	Female	25	1	47	0	< 1 Year	Yes	2,630	156	297	0
367,688	Male	62	1	28	0	> 2 Years	Yes	2,630	52	156	0
226,246	Female	30	1	50	1	< 1 Year	No	28,443	152	66	0
261,434	Male	23	1	47	1	< 1 Year	No	36,547	152	250	0
267,816	Female	24	1	8	0	< 1 Year	Yes	41,909	152	246	0
367,560	Female	23	1	28	1	< 1 Year	No	39,852	152	116	0
307,870	Female	22	1	27	0	< 1 Year	Yes	2,630	152	80	0
219,646	Male	24	1	27	0	< 1 Year	Yes	24,266	151	288	0
279,905	Female	29	1	3	0	< 1 Year	Yes	2,630	152	117	0
282,786	Male	42	1	33	0	1-2 Year	Yes	26,714	124	261	0
271,206	Female	21	1	35	1	< 1 Year	No	35,012	160	215	0
103,323	Male	48	1	8	0	1-2 Year	Yes	39,298	26	79	0
348,893	Female	63	1	36	0	1-2 Year	Yes	27,984	124	159	0
310,960	Female	41	1	17	1	1-2 Year	No	22,015	124	140	0
123,197	Female	48	1	28	0	1-2 Year	Yes	54,775	26	258	0
195,281	Male	52	1	8	0	1-2 Year	Yes	39,607	7	73	0
40,993	Male	40	1	14	0	1-2 Year	Yes	31,361	124	130	0
305,791	Male	60	1	8	1	1-2 Year	Yes	39,377	124	245	0
475,748	Female	32	1	41	0	1-2 Year	Yes	2,630	156	294	1
15,424	Female	39	1	28	0	1-2 Year	Yes	57,044	124	189	0
209,182	Female	23	1	46	1	< 1 Year	No	44,469	151	151	0
163,149	Female	24	1	15	0	< 1 Year	Yes	28,561	152	78	0
495,636	Female	23	1	13	1	< 1 Year	No	23,312	26	184	0
211,941	Male	50	1	28	0	1-2 Year	Yes	27,684	26	181	0
392,543	Female	25	1	29	1	< 1 Year	No	43,492	152	121	0
181,827	Female	27	1	28	1	< 1 Year	No	52,472	152	284	0
158,000	Female	37	1	8	0	1-2 Year	Yes	44,330	124	180	0
280,696	Female	47	1	46	0	1-2 Year	Yes	2,630	26	191	0
422,333	Male	38	1	41	0	1-2 Year	Yes	2,630	156	186	1
406,119	Female	29	1	11	1	< 1 Year	No	32,036	152	11	0
219,384	Female	65	1	26	0	1-2 Year	Yes	37,180	120	127	0
166,999	Female	51	1	28	1	1-2 Year	No	46,139	26	173	0
76,442	Male	36	1	28	0	1-2 Year	Yes	24,807	23	208	1
286,713	Female	36	1	28	1	1-2 Year	No	44,392	124	13	0
129,683	Male	30	1	28	0	< 1 Year	Yes	36,160	124	247	1
70,922	Female	29	1	9	1	1-2 Year	No	30,078	124	21	0
282,812	Male	49	1	28	0	1-2 Year	Yes	28,727	44	115	0
66,267	Female	53	1	28	0	1-2 Year	No	42,724	55	68	0
122,362	Female	21	1	35	0	< 1 Year	No	2,630	160	233	0
308,751	Male	21	1	33	1	< 1 Year	No	31,531	152	164	0
64,626	Female	30	1	41	1	< 1 Year	No	28,698	152	265	0
422,963	Male	38	1	48	1	1-2 Year	No	2,630	26	70	0
188,074	Male	25	1	47	1	< 1 Year	No	29,216	152	235	0
187,896	Male	53	1	28	0	1-2 Year	Yes	42,229	124	286	0
102,133	Male	30	1	6	1	< 1 Year	No	26,211	152	262	0
278,454	Female	24	1	41	1	< 1 Year	No	24,559	152	239	0
56,731	Female	24	1	6	1	< 1 Year	No	27,994	152	131	0
282,081	Male	69	1	47	0	1-2 Year	Yes	49,910	26	150	0
162,745	Female	20	1	30	0	< 1 Year	No	25,701	160	283	0
29,067	Male	29	1	33	0	1-2 Year	Yes	36,470	163	76	0
236,200	Female	76	1	28	1	1-2 Year	No	56,749	26	165	0
437,653	Female	26	1	30	1	< 1 Year	No	29,742	152	36	0
424,307	Female	59	1	28	1	1-2 Year	No	41,246	152	118	0
150,123	Male	37	1	28	0	1-2 Year	Yes	46,756	124	285	0
39,738	Male	20	1	3	0	1-2 Year	No	2,630	156	129	0
39,744	Male	59	1	15	1	1-2 Year	No	36,104	26	126	0
473,013	Female	21	1	8	1	< 1 Year	No	36,543	160	120	0
308,657	Male	44	1	28	1	1-2 Year	No	37,966	26	276	0
89,576	Female	50	1	20	0	1-2 Year	Yes	2,630	124	281	1
240,265	Female	41	1	39	0	1-2 Year	Yes	2,630	156	49	0
467,273	Female	21	1	3	1	< 1 Year	No	22,909	160	233	0
113,194	Female	23	1	11	1	< 1 Year	No	24,261	152	91	0
354,108	Male	52	1	8	0	1-2 Year	Yes	31,969	26	131	0
7,446	Male	41	1	28	0	1-2 Year	Yes	2,630	124	11	0
363,372	Female	73	1	30	1	1-2 Year	No	42,089	26	26	0
378,110	Male	22	1	13	1	< 1 Year	No	17,355	152	242	0
26,372	Male	70	1	28	0	> 2 Years	Yes	33,028	122	155	0
431,664	Male	27	1	28	1	< 1 Year	No	32,883	152	185	0
30,070	Male	49	1	33	0	1-2 Year	Yes	31,870	154	120	1
261,844	Female	27	1	12	0	< 1 Year	Yes	27,925	152	265	0
191,298	Male	66	1	8	1	1-2 Year	No	39,139	19	102	0
215,547	Female	42	1	3	0	1-2 Year	Yes	20,697	124	282	0
459,558	Female	23	1	46	1	< 1 Year	No	37,651	160	127	0
190,934	Male	72	1	47	0	1-2 Year	Yes	2,630	156	27	0
336,487	Male	78	1	28	1	1-2 Year	No	49,296	26	49	0
285,267	Male	43	1	29	0	1-2 Year	Yes	39,660	124	206	1
116,047	Male	22	1	30	0	< 1 Year	Yes	35,406	152	54	0
334,264	Male	44	1	26	0	1-2 Year	Yes	48,308	26	113	0
168,816	Male	33	1	26	0	1-2 Year	Yes	29,671	22	149	0
337,200	Male	21	1	36	0	< 1 Year	Yes	33,595	152	160	0
242,539	Male	25	1	37	0	< 1 Year	Yes	37,368	151	82	0
189,646	Female	23	1	28	1	< 1 Year	No	36,936	152	78	0
57,536	Male	34	1	8	0	1-2 Year	Yes	35,742	26	258	1
316,374	Male	29	1	28	0	< 1 Year	Yes	43,287	152	77	1
381,888	Female	48	1	28	1	1-2 Year	No	2,630	124	61	0
221,776	Female	43	1	28	1	1-2 Year	No	38,832	26	129	0

Subsets and Splits

No community queries yet

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