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
367,237	Female	22	1	29	1	< 1 Year	No	22,919	152	104	0
298,894	Male	64	1	11	0	1-2 Year	No	64,287	152	249	0
17,413	Female	24	1	3	1	< 1 Year	No	29,815	152	17	0
310,989	Female	24	1	22	1	< 1 Year	No	29,028	152	111	0
328,231	Female	38	1	28	0	1-2 Year	No	28,690	26	45	0
217,165	Female	47	1	33	0	1-2 Year	Yes	2,630	124	165	1
113,345	Male	22	1	50	1	< 1 Year	No	34,766	152	102	0
226,310	Female	25	1	43	1	< 1 Year	No	2,630	160	99	0
100,662	Female	21	1	36	0	< 1 Year	Yes	35,518	160	221	0
90,476	Male	28	1	13	1	< 1 Year	No	11,600	152	142	0
110,649	Female	27	1	7	1	< 1 Year	No	29,809	152	258	0
73,775	Male	21	1	8	0	< 1 Year	No	51,674	152	62	0
60,164	Female	39	1	18	1	1-2 Year	Yes	26,376	124	209	0
468,699	Male	25	1	41	1	< 1 Year	No	26,743	152	131	0
833	Male	20	1	30	0	< 1 Year	No	25,497	160	11	0
284,064	Female	23	1	13	1	< 1 Year	No	25,358	152	137	0
13,586	Female	22	1	29	1	< 1 Year	No	31,989	152	254	0
112,616	Female	24	1	5	1	< 1 Year	No	2,630	152	22	0
423,458	Female	33	1	28	1	< 1 Year	No	29,732	152	225	0
401,524	Female	33	1	46	0	< 1 Year	Yes	29,354	154	298	1
51,536	Female	24	1	29	1	< 1 Year	No	2,630	152	291	0
141,071	Male	54	1	28	0	1-2 Year	Yes	50,160	124	125	0
19,722	Male	46	1	50	1	1-2 Year	No	2,630	124	192	0
127,641	Male	32	1	50	0	1-2 Year	Yes	32,477	156	279	0
281,372	Female	49	1	28	1	1-2 Year	No	56,128	124	42	0
183,266	Female	25	1	36	1	< 1 Year	No	29,822	152	108	0
218,128	Male	25	1	28	1	< 1 Year	No	31,280	152	238	0
220,401	Male	30	1	8	1	< 1 Year	No	38,277	152	81	0
79,501	Female	46	1	35	0	1-2 Year	Yes	32,214	152	223	0
340,525	Male	24	1	50	1	< 1 Year	No	46,993	152	30	0
388,447	Male	53	1	28	1	1-2 Year	No	61,697	152	54	0
159,443	Male	48	1	28	0	1-2 Year	Yes	29,110	122	15	1
104,813	Male	46	1	50	1	1-2 Year	No	2,630	26	80	0
299,642	Male	42	1	28	0	1-2 Year	Yes	34,071	26	175	1
340,886	Male	44	1	11	0	1-2 Year	Yes	49,620	154	19	1
106,915	Female	30	1	17	1	< 1 Year	No	2,630	152	85	0
171,087	Male	25	1	11	1	< 1 Year	No	33,514	152	195	0
58,789	Female	26	1	14	1	< 1 Year	No	28,084	152	47	0
259,527	Male	60	1	28	0	1-2 Year	Yes	27,925	124	27	1
37,021	Female	28	1	37	1	< 1 Year	No	29,515	152	287	0
370,832	Female	44	1	10	0	1-2 Year	Yes	38,727	26	198	0
352,709	Male	62	1	28	0	1-2 Year	Yes	35,277	122	278	0
358,717	Female	23	1	28	1	< 1 Year	No	42,802	152	97	0
389,768	Male	67	1	29	0	> 2 Years	Yes	37,904	26	190	1
393,846	Female	29	1	18	1	< 1 Year	No	2,630	152	87	0
437,848	Female	37	1	28	0	1-2 Year	Yes	35,231	124	228	1
350,170	Female	75	1	2	1	1-2 Year	No	41,023	152	273	0
127,448	Male	75	1	33	0	1-2 Year	Yes	30,757	26	172	0
308,851	Female	37	1	46	1	1-2 Year	No	26,466	124	187	0
267,872	Male	23	1	28	0	< 1 Year	Yes	44,423	160	158	1
467,648	Male	49	1	32	1	1-2 Year	No	2,630	30	233	0
52,189	Female	58	1	28	0	1-2 Year	Yes	55,701	124	281	0
330,822	Male	52	1	39	0	1-2 Year	Yes	61,716	154	71	1
201,359	Male	56	1	46	0	1-2 Year	Yes	2,630	11	149	0
78,940	Female	59	1	50	0	1-2 Year	Yes	29,771	155	265	0
147,290	Female	51	1	8	0	1-2 Year	Yes	46,827	157	280	0
124,388	Male	58	1	28	0	1-2 Year	Yes	34,779	124	163	0
159,765	Female	24	1	15	1	< 1 Year	No	43,921	152	54	0
194	Male	21	1	47	0	< 1 Year	No	37,028	160	119	0
229,121	Female	46	1	28	1	1-2 Year	No	31,088	155	210	0
258,803	Male	64	1	13	1	1-2 Year	No	31,405	26	137	0
159,012	Male	34	1	28	0	1-2 Year	Yes	52,127	24	244	0
373,012	Male	63	1	28	0	1-2 Year	Yes	41,861	13	80	0
55,079	Male	54	1	41	0	1-2 Year	Yes	32,926	26	106	0
305,219	Male	41	1	41	0	1-2 Year	Yes	48,445	124	56	0
130,694	Male	32	1	36	1	< 1 Year	No	37,719	151	177	0
235,923	Female	24	1	5	0	< 1 Year	No	33,397	152	73	0
294,009	Male	23	1	46	1	< 1 Year	No	26,551	124	102	0
248,136	Male	22	1	32	1	< 1 Year	No	29,389	152	278	0
252,343	Male	53	1	28	0	1-2 Year	Yes	47,516	124	119	1
9,155	Male	54	1	28	0	1-2 Year	Yes	43,093	122	137	0
305,744	Male	65	1	28	0	< 1 Year	No	2,630	1	223	0
282,660	Male	54	1	28	0	> 2 Years	Yes	34,427	124	25	0
402,186	Female	22	1	42	1	< 1 Year	No	30,763	152	54	0
71,422	Male	21	1	28	0	< 1 Year	Yes	34,883	160	263	1
268,769	Female	28	1	31	1	< 1 Year	No	2,630	152	263	0
25,212	Male	44	1	28	0	1-2 Year	Yes	38,962	124	287	1
484,458	Male	43	1	36	0	1-2 Year	Yes	46,271	154	29	1
367,915	Male	25	1	28	1	< 1 Year	No	60,225	152	26	0
193,954	Male	68	1	41	1	1-2 Year	No	38,681	124	128	0
88,608	Male	40	1	8	0	1-2 Year	Yes	2,630	154	265	0
70,319	Female	69	1	46	0	1-2 Year	Yes	29,585	150	251	0
382,051	Female	23	1	8	1	< 1 Year	No	55,746	160	132	0
320,827	Male	33	1	3	0	1-2 Year	Yes	2,630	124	220	0
89,080	Female	59	1	8	1	1-2 Year	No	30,874	124	169	0
486,622	Female	47	1	28	0	1-2 Year	Yes	39,751	26	171	1
248,791	Male	25	1	15	1	< 1 Year	No	35,622	152	115	0
218,688	Male	45	1	38	0	1-2 Year	Yes	32,292	124	44	1
433,655	Female	21	1	28	1	< 1 Year	No	54,827	160	251	0
54,434	Male	50	1	28	0	1-2 Year	Yes	31,781	26	188	1
175,813	Female	22	1	2	1	< 1 Year	No	37,759	152	217	0
58,047	Female	24	1	10	1	< 1 Year	No	30,019	152	58	0
232,001	Female	29	1	8	1	< 1 Year	No	38,892	152	274	0
267,338	Female	53	1	29	0	1-2 Year	Yes	38,158	124	56	0
125,625	Male	42	1	18	0	1-2 Year	Yes	27,807	156	52	1
335,877	Female	25	1	28	1	< 1 Year	No	47,184	152	258	0
484,408	Female	25	1	38	1	< 1 Year	No	31,541	152	268	0
259,663	Male	50	1	8	1	1-2 Year	No	41,710	26	86	0
85,565	Male	39	1	28	1	1-2 Year	No	35,892	26	92	0
150,359	Female	31	1	14	1	< 1 Year	No	29,538	152	17	0

Subsets and Splits

No community queries yet

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