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
196,760	Male	25	1	15	1	< 1 Year	No	35,656	152	205	0
374,240	Male	68	1	29	0	1-2 Year	Yes	39,754	122	79	1
93,369	Female	24	1	28	1	< 1 Year	No	29,688	152	76	0
55,219	Male	23	1	50	0	< 1 Year	Yes	38,050	160	241	0
504,145	Male	23	1	46	1	< 1 Year	No	25,163	152	188	0
395,883	Male	50	1	17	0	> 2 Years	Yes	34,718	26	205	1
329,238	Female	22	1	39	0	< 1 Year	Yes	45,504	152	93	0
345,572	Male	20	1	30	1	< 1 Year	No	23,220	160	91	0
157,710	Female	24	1	47	0	< 1 Year	No	30,886	160	27	0
139,056	Female	30	1	28	0	< 1 Year	Yes	65,253	26	172	1
205,144	Female	31	1	41	1	< 1 Year	No	33,341	152	192	0
216,828	Female	56	1	46	0	1-2 Year	Yes	28,945	26	10	0
145,278	Male	32	1	18	1	< 1 Year	Yes	32,831	152	144	0
93,902	Female	22	1	45	1	< 1 Year	No	30,172	152	13	0
264,174	Male	24	1	7	1	< 1 Year	No	33,806	152	75	0
214,316	Male	24	1	10	1	< 1 Year	No	32,400	152	15	0
2,525	Female	23	1	10	1	< 1 Year	No	34,848	152	240	0
137,773	Male	25	1	28	1	< 1 Year	No	115,719	152	288	0
502,138	Male	23	1	2	1	< 1 Year	No	37,883	152	35	0
502,357	Female	28	1	10	1	< 1 Year	No	37,339	152	111	0
46,163	Male	47	1	8	0	1-2 Year	Yes	30,222	7	84	0
379,171	Male	23	1	31	0	< 1 Year	Yes	2,630	124	179	0
318,470	Female	22	1	41	1	< 1 Year	No	34,381	152	270	0
206,668	Female	41	1	8	1	1-2 Year	No	52,110	152	265	0
401,240	Male	65	1	28	1	1-2 Year	No	33,586	124	43	0
226,410	Female	38	1	28	0	1-2 Year	Yes	41,027	122	212	0
45,343	Male	23	1	22	0	< 1 Year	Yes	2,630	156	112	0
271,239	Female	56	1	41	0	1-2 Year	Yes	55,240	26	189	0
413,683	Male	32	1	51	0	1-2 Year	Yes	26,057	26	26	1
403,573	Male	48	1	33	1	1-2 Year	No	27,789	124	135	0
402,326	Female	30	1	28	0	1-2 Year	Yes	27,332	154	24	1
352,801	Male	22	1	28	0	< 1 Year	Yes	33,527	152	19	0
457,467	Female	37	1	28	0	1-2 Year	Yes	2,630	26	100	1
196,011	Male	54	1	28	0	1-2 Year	Yes	42,864	124	173	1
453,357	Male	25	1	3	1	< 1 Year	No	17,505	152	238	0
354,699	Male	51	1	28	0	1-2 Year	No	41,713	25	186	0
355,488	Female	30	1	28	0	< 1 Year	No	26,642	152	210	0
337,348	Male	59	1	28	0	1-2 Year	Yes	32,277	124	295	0
176,876	Male	51	1	19	0	1-2 Year	Yes	2,630	24	43	0
149,103	Male	23	1	40	0	< 1 Year	Yes	36,446	152	275	0
359,004	Female	25	1	15	1	< 1 Year	No	31,047	152	61	0
169,792	Male	25	1	28	1	< 1 Year	No	30,087	152	265	0
355,913	Female	56	1	28	0	1-2 Year	Yes	69,170	26	217	0
451,449	Male	22	1	8	1	< 1 Year	No	46,114	152	231	0
73,239	Male	46	1	28	0	1-2 Year	Yes	42,092	26	262	0
431,382	Female	22	1	46	1	< 1 Year	No	25,273	152	91	0
165,652	Female	27	1	41	1	< 1 Year	No	25,635	152	216	0
17,000	Male	24	1	33	1	< 1 Year	No	34,797	152	215	0
326,340	Female	69	1	28	0	1-2 Year	No	35,108	26	111	0
327,766	Male	24	1	8	0	< 1 Year	No	31,527	152	290	0
487,999	Female	47	1	28	1	1-2 Year	No	47,334	26	54	0
193,995	Male	52	1	8	1	1-2 Year	No	27,952	124	149	0
18,690	Male	29	1	41	0	< 1 Year	Yes	27,892	152	236	0
288,546	Male	34	1	0	0	1-2 Year	Yes	2,630	122	57	0
153,518	Male	23	1	21	1	< 1 Year	No	30,915	152	290	0
344,001	Female	36	1	28	1	1-2 Year	No	2,630	122	90	0
22,303	Female	24	1	32	1	< 1 Year	No	29,938	152	253	0
263,799	Male	25	1	13	1	< 1 Year	No	27,508	152	164	0
140,635	Male	28	1	1	1	1-2 Year	No	2,630	26	268	0
242,540	Male	24	1	14	0	< 1 Year	Yes	25,653	151	12	1
314,192	Female	49	1	38	0	1-2 Year	No	2,630	26	250	0
177,860	Male	22	1	22	1	< 1 Year	No	27,235	152	278	0
305,599	Male	21	1	47	1	< 1 Year	No	38,166	160	233	0
284,341	Female	28	1	10	1	< 1 Year	No	33,998	152	40	0
185,511	Male	60	1	36	1	1-2 Year	No	35,219	124	130	0
141,186	Female	21	1	42	0	< 1 Year	Yes	30,381	160	190	0
68,973	Male	23	1	46	1	< 1 Year	No	27,533	152	78	0
156,093	Female	45	1	13	0	1-2 Year	Yes	30,399	26	43	0
280,374	Female	43	1	28	1	1-2 Year	No	25,192	124	167	0
437,238	Male	78	1	28	1	1-2 Year	No	40,373	13	236	0
201,834	Female	50	1	28	0	1-2 Year	Yes	43,858	26	11	1
109,219	Male	27	1	22	1	< 1 Year	No	21,434	152	191	0
13,192	Male	29	1	46	1	< 1 Year	No	57,199	152	61	0
469,752	Male	53	1	12	0	1-2 Year	Yes	32,510	26	230	1
497,253	Female	21	1	8	1	< 1 Year	No	45,444	160	290	0
141,746	Male	55	1	50	1	1-2 Year	No	41,941	30	114	0
180,997	Male	45	1	28	1	1-2 Year	No	37,423	124	58	0
470,676	Male	42	1	28	0	1-2 Year	Yes	2,630	124	76	1
73,665	Male	56	1	28	0	> 2 Years	Yes	23,403	25	171	0
439,414	Male	73	1	28	1	1-2 Year	No	29,958	26	184	0
335,253	Female	77	1	46	1	1-2 Year	No	42,001	26	179	0
114,501	Female	70	1	11	1	1-2 Year	No	59,020	124	252	0
22,881	Male	25	1	13	1	< 1 Year	No	30,594	152	284	0
369,600	Male	21	1	46	1	< 1 Year	No	33,512	152	154	0
24,886	Female	33	1	26	0	< 1 Year	Yes	31,469	124	263	1
294,805	Male	25	1	6	1	< 1 Year	No	30,413	152	89	0
306,779	Female	23	1	21	1	< 1 Year	No	31,133	152	216	0
462,897	Female	25	1	36	1	< 1 Year	No	31,116	152	87	0
177,854	Female	20	1	28	0	< 1 Year	Yes	38,452	124	210	0
37,635	Male	47	1	28	0	1-2 Year	Yes	29,398	26	256	1
77,990	Male	40	1	3	0	1-2 Year	Yes	2,630	163	57	0
45,455	Male	61	0	8	0	1-2 Year	Yes	2,630	26	76	1
100,968	Female	25	1	8	1	< 1 Year	No	26,205	152	28	0
240,096	Female	22	1	37	0	< 1 Year	Yes	29,816	152	137	0
266,513	Female	53	1	2	0	1-2 Year	Yes	2,630	26	264	0
152,707	Male	38	1	28	0	1-2 Year	No	24,578	26	182	0
160,327	Female	48	1	50	1	1-2 Year	No	34,608	8	218	0
294,830	Female	33	1	34	1	< 1 Year	No	19,429	26	284	0
147,576	Female	71	1	45	1	1-2 Year	No	2,630	124	122	0
90,867	Female	38	1	28	0	1-2 Year	Yes	32,010	124	277	0

Subsets and Splits

No community queries yet

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