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
181,987	Male	52	1	28	0	1-2 Year	Yes	42,975	147	83	0
87,349	Male	38	1	47	0	1-2 Year	Yes	36,704	124	236	0
333,704	Male	21	1	8	1	< 1 Year	No	38,839	160	245	0
102,334	Male	23	1	41	1	< 1 Year	No	29,240	152	288	0
163,491	Male	50	1	28	0	1-2 Year	Yes	2,630	26	257	0
255,366	Female	24	1	37	1	< 1 Year	No	27,727	152	159	0
406,011	Female	40	1	28	0	1-2 Year	Yes	44,054	26	296	1
365,431	Female	20	1	15	0	< 1 Year	Yes	31,199	160	193	0
111,838	Male	43	1	28	0	1-2 Year	Yes	2,630	26	276	1
12,960	Female	21	1	16	0	< 1 Year	Yes	30,526	152	53	0
92,336	Male	44	1	41	1	1-2 Year	No	44,650	124	234	0
506,150	Male	37	1	41	1	1-2 Year	No	28,967	26	96	0
49,802	Male	21	1	32	1	< 1 Year	No	28,109	152	251	0
170,762	Male	54	1	8	0	1-2 Year	No	48,110	26	251	0
76,588	Female	38	1	29	0	1-2 Year	Yes	2,630	26	80	0
83,032	Female	33	1	49	0	> 2 Years	Yes	24,924	124	228	0
191,683	Female	61	1	30	0	1-2 Year	Yes	52,801	26	132	1
209,379	Male	49	1	8	0	1-2 Year	Yes	29,689	124	185	0
214,477	Male	51	1	19	0	1-2 Year	Yes	35,162	156	201	0
422,992	Male	48	1	29	0	1-2 Year	Yes	25,340	26	96	1
241,519	Female	23	1	8	1	< 1 Year	No	45,971	152	70	0
27,965	Female	25	1	8	1	< 1 Year	No	51,019	152	21	0
391,632	Male	50	1	28	0	> 2 Years	Yes	44,091	26	85	1
459,599	Male	24	1	15	1	< 1 Year	No	39,575	152	231	0
112,757	Female	60	1	12	1	1-2 Year	No	35,704	26	33	0
191,575	Female	44	1	19	0	1-2 Year	Yes	2,630	26	211	0
120,106	Female	48	1	50	1	1-2 Year	No	31,901	152	241	0
458,294	Male	74	1	20	1	1-2 Year	No	2,630	26	172	0
424,211	Female	27	1	10	1	< 1 Year	No	36,399	152	194	0
118,449	Male	30	1	28	1	1-2 Year	No	55,914	122	95	0
113,445	Female	54	1	28	0	1-2 Year	Yes	45,172	26	109	1
466,624	Male	40	1	28	0	1-2 Year	Yes	52,437	7	178	1
400,338	Female	41	1	28	0	1-2 Year	Yes	42,859	122	67	1
446,138	Female	22	1	33	1	< 1 Year	No	31,977	152	126	0
184,057	Male	26	1	6	1	< 1 Year	No	30,438	152	70	0
220,129	Female	24	1	15	1	< 1 Year	No	32,933	152	130	0
154,022	Male	22	1	15	0	< 1 Year	Yes	28,360	152	120	0
85,502	Male	52	1	28	0	1-2 Year	Yes	24,913	124	135	0
218,393	Male	46	1	28	1	1-2 Year	No	30,855	26	237	0
255,653	Female	57	1	28	0	1-2 Year	Yes	39,233	26	113	0
355,737	Male	23	1	32	1	< 1 Year	No	30,263	152	239	0
123,168	Female	23	1	28	1	< 1 Year	No	50,693	152	187	0
203,925	Female	24	1	8	1	< 1 Year	No	43,791	152	172	0
161,009	Male	23	1	35	0	1-2 Year	No	34,326	156	132	0
65,429	Male	25	1	2	1	< 1 Year	No	2,630	152	211	0
190,514	Female	24	1	15	0	< 1 Year	No	38,375	152	165	0
349,931	Female	54	1	28	0	1-2 Year	Yes	44,680	124	267	0
192,159	Female	24	1	35	0	< 1 Year	Yes	24,902	124	95	0
62,018	Female	41	1	8	0	1-2 Year	Yes	2,630	26	291	0
51,471	Male	43	1	28	0	> 2 Years	Yes	46,639	124	56	1
473,978	Male	52	1	28	0	1-2 Year	Yes	2,630	26	52	1
218,362	Female	24	1	28	1	< 1 Year	No	86,920	152	43	0
117,450	Female	26	1	34	1	< 1 Year	No	2,630	152	44	0
190,243	Female	24	1	8	1	< 1 Year	No	31,633	152	32	0
213,254	Female	32	1	47	0	1-2 Year	Yes	29,598	124	193	1
434,856	Male	61	1	18	1	1-2 Year	No	32,915	26	24	0
380,087	Female	22	1	3	1	< 1 Year	No	32,089	152	25	0
153,385	Male	28	1	28	1	1-2 Year	No	49,219	122	222	0
496,234	Male	23	1	43	1	< 1 Year	No	43,199	152	24	0
196,252	Male	44	1	28	0	1-2 Year	Yes	40,259	124	257	0
157,004	Male	69	1	10	0	1-2 Year	Yes	23,609	26	113	0
321,731	Female	37	1	28	0	1-2 Year	Yes	28,418	26	245	1
225,647	Male	68	0	29	0	1-2 Year	No	35,116	26	238	0
486,221	Female	25	1	13	1	< 1 Year	No	26,513	152	21	0
84,899	Female	40	1	28	0	1-2 Year	Yes	43,947	122	176	0
193,514	Female	39	1	11	1	1-2 Year	No	2,630	136	130	0
488,619	Female	43	1	28	1	1-2 Year	No	30,537	124	243	0
484,372	Female	35	1	35	1	1-2 Year	No	17,761	152	132	0
442,067	Male	43	1	28	0	1-2 Year	Yes	36,692	31	148	1
211,582	Female	62	1	28	1	1-2 Year	No	2,630	59	54	0
280,347	Male	28	1	30	0	< 1 Year	Yes	24,285	26	234	0
377,922	Female	21	1	50	0	< 1 Year	Yes	30,227	160	206	0
262,683	Male	29	1	12	1	< 1 Year	No	28,098	152	276	0
347,962	Female	80	1	28	0	1-2 Year	No	51,558	26	177	0
3,695	Male	23	1	49	0	< 1 Year	Yes	31,042	152	165	0
54,943	Female	38	1	30	0	1-2 Year	Yes	41,872	154	210	1
356,161	Female	20	1	46	0	< 1 Year	Yes	68,592	160	43	0
22,767	Male	55	1	46	0	1-2 Year	Yes	2,630	26	260	1
257,352	Female	46	1	26	1	1-2 Year	No	26,443	26	253	0
210,373	Male	28	1	30	1	< 1 Year	No	23,309	152	199	0
42,914	Female	38	1	28	0	1-2 Year	Yes	24,558	122	124	0
238,350	Male	51	1	28	1	1-2 Year	No	34,947	60	273	0
338,472	Male	53	1	3	0	1-2 Year	Yes	2,630	124	133	0
367,395	Male	41	1	28	0	1-2 Year	Yes	32,306	122	284	0
99,263	Female	27	1	29	1	< 1 Year	No	46,796	152	224	0
377,640	Male	37	1	28	1	1-2 Year	No	48,680	26	123	0
485,697	Male	40	1	3	1	1-2 Year	No	26,233	26	40	0
159,083	Male	23	1	30	1	< 1 Year	No	46,726	152	203	0
208,238	Female	26	1	46	1	< 1 Year	No	28,672	26	191	0
101,949	Female	37	1	28	0	1-2 Year	Yes	43,045	26	264	0
395,622	Female	28	1	41	1	< 1 Year	No	27,468	152	122	0
49,732	Male	38	1	28	0	1-2 Year	Yes	2,630	10	209	0
239,729	Male	31	1	8	0	< 1 Year	Yes	41,919	124	283	0
163,461	Male	21	1	36	1	< 1 Year	No	72,615	152	125	0
303,884	Male	21	1	46	1	< 1 Year	No	31,643	160	27	0
111,792	Male	38	1	40	0	1-2 Year	Yes	32,046	26	153	0
389,136	Female	39	1	8	1	1-2 Year	No	31,509	124	243	0
470,066	Male	45	1	8	1	1-2 Year	No	62,628	124	88	0
204,169	Male	48	1	35	1	1-2 Year	No	2,630	26	51	0
105,812	Male	59	1	37	1	1-2 Year	No	29,928	26	142	0

Subsets and Splits

No community queries yet

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