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
495,395	Male	26	1	8	1	< 1 Year	No	37,630	152	191	0
105,022	Male	56	1	28	0	1-2 Year	Yes	35,996	26	88	0
94,919	Female	24	1	29	1	< 1 Year	No	28,585	152	117	0
202,990	Female	24	1	10	0	< 1 Year	Yes	15,568	152	38	0
340,122	Female	26	1	36	1	< 1 Year	No	33,052	151	117	0
61,866	Female	25	1	29	1	< 1 Year	No	78,391	152	163	0
278,457	Male	46	1	28	0	> 2 Years	Yes	45,067	26	179	0
75,592	Male	22	1	47	0	< 1 Year	Yes	34,688	152	29	0
152,676	Female	27	1	9	1	< 1 Year	No	29,301	152	37	0
349,238	Female	40	1	22	0	1-2 Year	Yes	26,868	30	281	0
154,246	Female	43	1	28	0	1-2 Year	No	36,516	155	201	0
337,660	Female	34	1	28	0	1-2 Year	Yes	37,442	124	133	0
2,650	Male	50	1	30	1	1-2 Year	No	2,630	124	36	0
447,253	Female	24	1	11	1	< 1 Year	No	28,232	152	110	0
191,789	Female	26	1	39	1	< 1 Year	No	26,022	152	106	0
231,724	Male	58	1	28	1	1-2 Year	Yes	30,008	25	188	0
151,656	Male	25	1	28	1	< 1 Year	No	26,802	152	237	0
464,347	Male	27	1	28	1	< 1 Year	No	40,708	152	91	0
282,583	Male	48	1	28	1	1-2 Year	No	41,635	26	178	0
284,735	Female	24	1	6	1	< 1 Year	No	34,589	152	296	0
52,975	Female	23	1	46	1	< 1 Year	Yes	33,077	152	76	0
240,026	Male	22	1	8	1	< 1 Year	No	60,994	152	92	0
27,353	Male	36	1	9	1	1-2 Year	No	32,380	152	40	0
227,101	Male	48	1	8	0	1-2 Year	No	33,349	26	57	0
101,976	Female	42	1	25	0	1-2 Year	Yes	24,839	124	106	0
172,812	Female	56	1	14	0	1-2 Year	Yes	41,386	26	88	0
215,130	Male	59	1	28	1	1-2 Year	Yes	40,626	13	261	0
325,760	Male	42	1	29	1	1-2 Year	No	48,779	124	17	0
288,324	Male	38	1	30	0	1-2 Year	Yes	2,630	163	16	0
77,612	Female	41	1	15	0	1-2 Year	Yes	39,539	55	211	0
267,540	Female	31	1	17	0	< 1 Year	Yes	39,834	26	274	0
335,334	Female	20	1	15	1	< 1 Year	No	25,750	160	285	0
230,519	Male	24	1	8	1	< 1 Year	No	34,935	152	99	0
87,882	Male	36	1	28	0	1-2 Year	Yes	28,953	152	33	0
366,495	Female	61	1	28	0	> 2 Years	Yes	2,630	158	248	0
278,803	Female	24	1	37	1	< 1 Year	No	31,975	152	243	0
506,181	Male	68	1	28	1	1-2 Year	No	54,922	122	65	0
363,152	Female	29	1	3	0	< 1 Year	Yes	41,528	26	251	0
190,512	Male	48	1	28	0	1-2 Year	Yes	45,782	124	184	1
456,304	Female	30	1	46	1	< 1 Year	No	22,655	152	218	0
321,885	Male	21	1	28	0	1-2 Year	Yes	52,859	154	92	0
183,398	Male	40	1	37	1	1-2 Year	No	50,806	156	16	0
75,447	Male	24	1	50	1	< 1 Year	No	27,679	152	265	0
232,904	Male	28	1	21	1	< 1 Year	No	38,034	152	196	0
290,865	Female	55	1	28	0	1-2 Year	Yes	41,192	124	107	0
281,204	Female	24	1	28	0	< 1 Year	Yes	36,670	153	73	0
424,912	Male	23	1	41	1	< 1 Year	No	2,630	152	190	0
291,070	Female	23	1	28	1	< 1 Year	No	56,524	152	197	0
226,083	Female	26	1	18	1	< 1 Year	No	29,399	152	27	0
213,106	Female	51	1	45	0	1-2 Year	Yes	30,776	124	292	0
231,566	Male	46	1	28	1	1-2 Year	No	36,516	124	206	0
4,365	Male	61	1	48	0	1-2 Year	Yes	2,630	124	121	0
414,744	Female	40	1	46	1	1-2 Year	No	26,856	152	207	0
131,296	Female	20	1	9	1	< 1 Year	Yes	28,513	160	15	0
188,207	Female	24	1	8	1	< 1 Year	No	33,562	152	92	0
381,729	Female	26	1	6	1	< 1 Year	No	27,683	152	216	0
413,149	Male	39	1	46	1	1-2 Year	No	33,726	124	260	0
216,664	Male	43	1	8	0	1-2 Year	Yes	31,988	124	246	0
329,491	Female	25	1	28	1	< 1 Year	No	58,774	152	127	0
158,338	Male	55	1	28	0	1-2 Year	Yes	23,352	26	64	0
324,011	Female	28	1	35	1	< 1 Year	No	31,088	152	39	0
309,328	Male	40	1	25	1	1-2 Year	No	2,630	152	276	0
5,680	Male	79	1	28	1	1-2 Year	No	34,790	26	47	0
50,672	Female	33	1	28	0	< 1 Year	Yes	45,656	124	280	0
393,310	Female	25	1	30	1	< 1 Year	No	25,504	152	285	0
156,163	Female	24	1	41	1	< 1 Year	No	23,354	152	214	0
362,996	Male	22	1	21	0	< 1 Year	Yes	28,655	152	271	0
355,269	Male	80	1	28	0	1-2 Year	Yes	43,963	25	13	1
172,424	Female	44	1	28	0	1-2 Year	Yes	57,773	44	131	1
436,066	Male	51	1	41	1	1-2 Year	No	42,980	26	31	0
225,763	Female	51	1	28	0	1-2 Year	Yes	39,391	124	115	0
139,502	Female	34	1	50	1	1-2 Year	No	23,790	11	116	0
144,810	Male	29	1	41	1	< 1 Year	No	39,470	152	231	0
325,376	Female	22	1	41	1	< 1 Year	No	26,098	152	256	0
387,097	Male	26	1	50	1	< 1 Year	No	2,630	152	199	0
480,029	Female	36	1	28	0	1-2 Year	Yes	40,228	154	211	1
72,822	Male	47	1	28	0	1-2 Year	Yes	34,272	49	63	1
404,439	Male	41	1	41	1	1-2 Year	No	44,493	12	48	0
257,550	Female	23	1	15	1	< 1 Year	No	23,725	152	289	0
452,326	Male	57	1	28	0	> 2 Years	Yes	41,465	26	47	1
94,418	Male	37	1	28	0	1-2 Year	Yes	63,191	155	202	1
119,325	Male	59	1	8	1	1-2 Year	Yes	49,091	7	248	0
117,377	Female	36	1	8	0	1-2 Year	Yes	2,630	156	20	1
289,083	Male	38	1	8	1	1-2 Year	No	41,832	152	82	0
25,479	Female	22	1	33	1	< 1 Year	No	26,664	152	100	0
192,903	Male	51	1	28	0	1-2 Year	Yes	30,064	29	215	0
78,485	Female	29	1	36	0	< 1 Year	Yes	36,462	26	262	0
348,947	Female	42	1	8	0	1-2 Year	Yes	2,630	152	43	0
382,297	Female	31	1	28	1	< 1 Year	No	92,601	152	266	0
176,474	Male	21	1	13	0	< 1 Year	Yes	32,342	152	130	0
481,193	Male	30	1	28	1	< 1 Year	No	28,375	152	196	0
234,033	Male	41	1	28	0	1-2 Year	Yes	25,162	13	49	0
359,162	Male	47	1	28	1	1-2 Year	No	33,672	124	209	0
331,287	Male	56	1	28	0	1-2 Year	Yes	2,630	124	145	0
341,178	Female	21	1	30	1	< 1 Year	No	20,123	152	88	0
360,213	Male	49	1	11	1	1-2 Year	No	27,993	124	43	0
192,779	Female	28	1	47	1	< 1 Year	No	35,665	152	56	0
373,384	Female	45	1	28	1	1-2 Year	No	34,811	124	294	0
259,489	Female	60	1	28	1	1-2 Year	No	41,559	122	167	0
319,197	Female	27	1	28	0	1-2 Year	No	28,940	154	161	0

Subsets and Splits

No community queries yet

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