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
376,564	Female	28	1	36	1	< 1 Year	No	2,630	26	273	0
136,010	Male	50	1	28	0	1-2 Year	Yes	41,271	154	248	1
297,835	Male	69	1	41	0	1-2 Year	Yes	25,078	12	296	0
215,396	Male	26	1	33	1	< 1 Year	No	30,161	152	210	0
283,016	Male	71	1	20	0	1-2 Year	Yes	2,630	26	224	0
166,944	Male	43	1	28	0	1-2 Year	Yes	44,095	124	114	0
255,455	Male	72	1	28	0	> 2 Years	Yes	32,664	122	13	1
172,981	Male	22	1	32	1	< 1 Year	No	29,820	152	82	0
45,425	Female	24	1	45	1	< 1 Year	No	30,405	152	57	0
82,890	Male	48	1	28	0	1-2 Year	Yes	29,834	26	245	0
346,985	Female	20	1	3	0	< 1 Year	Yes	2,630	160	30	0
24,557	Male	25	1	36	1	< 1 Year	No	36,732	152	132	0
193,053	Female	22	1	18	1	< 1 Year	No	33,374	152	250	0
34,623	Male	69	1	46	0	1-2 Year	Yes	67,557	11	111	0
29,257	Female	74	1	28	0	1-2 Year	Yes	27,441	26	174	0
327,588	Female	49	1	48	0	1-2 Year	Yes	2,630	26	277	1
372,540	Male	22	1	30	1	< 1 Year	No	37,339	152	151	0
261,270	Male	36	1	28	1	1-2 Year	No	2,630	124	241	0
51,407	Male	21	1	17	0	< 1 Year	Yes	26,072	160	108	0
22,243	Female	27	1	46	1	< 1 Year	No	35,033	152	189	0
15,963	Female	27	1	28	1	< 1 Year	Yes	47,724	156	183	0
175,275	Male	24	1	26	0	< 1 Year	Yes	38,582	26	224	0
120,878	Male	45	1	28	0	1-2 Year	Yes	48,356	47	197	0
277,980	Male	28	1	5	1	< 1 Year	No	2,630	152	225	0
88,646	Male	54	1	8	1	1-2 Year	No	55,158	26	267	0
242,880	Male	45	1	6	0	1-2 Year	Yes	35,420	124	289	0
48,613	Female	46	1	32	1	1-2 Year	No	21,474	124	110	0
128,378	Female	23	1	8	1	< 1 Year	No	43,935	152	61	0
38,035	Male	45	1	36	1	1-2 Year	No	29,795	154	112	0
142,392	Female	21	1	50	0	< 1 Year	No	45,836	152	230	0
25,067	Female	28	1	28	1	< 1 Year	No	23,680	152	278	0
171,349	Male	53	1	14	1	1-2 Year	Yes	26,852	26	104	0
70,201	Male	22	1	8	0	< 1 Year	Yes	30,623	152	195	0
131,413	Female	48	1	8	0	1-2 Year	Yes	48,296	26	230	0
274,590	Female	38	1	39	1	1-2 Year	Yes	20,600	26	148	0
147,686	Male	25	1	8	1	< 1 Year	No	47,545	152	134	0
191,652	Female	68	1	26	0	1-2 Year	Yes	36,890	22	114	0
348,953	Male	20	1	46	1	< 1 Year	No	33,126	160	12	0
343,660	Female	24	1	47	1	< 1 Year	No	35,922	152	255	0
27,086	Male	51	1	30	0	1-2 Year	Yes	48,190	124	217	0
11,453	Female	54	1	28	0	1-2 Year	Yes	52,341	26	174	0
10,130	Male	42	1	35	0	1-2 Year	Yes	49,720	124	108	1
167,741	Male	61	1	41	0	1-2 Year	Yes	25,837	4	246	1
68,650	Male	24	1	6	1	< 1 Year	No	25,013	152	225	0
150,513	Male	49	1	15	0	1-2 Year	Yes	37,083	14	206	1
89,250	Female	25	1	35	1	< 1 Year	No	27,334	152	57	0
87,199	Male	36	1	29	0	1-2 Year	Yes	47,562	135	35	0
352,534	Female	24	1	2	1	< 1 Year	No	34,188	152	273	0
9,071	Male	61	1	28	0	1-2 Year	No	53,227	122	210	0
343,161	Male	23	1	4	0	1-2 Year	Yes	31,466	26	22	0
329,757	Male	22	1	28	0	< 1 Year	Yes	20,497	124	82	1
144,206	Female	49	1	28	0	1-2 Year	Yes	27,596	26	199	1
320,254	Male	45	1	28	1	1-2 Year	No	35,116	26	81	0
192,895	Male	23	1	38	1	< 1 Year	No	59,065	152	243	0
323,493	Female	42	1	28	0	1-2 Year	Yes	49,520	124	213	0
50,898	Female	38	1	9	0	1-2 Year	Yes	33,613	124	57	0
432,712	Female	26	1	29	1	< 1 Year	No	30,880	152	35	0
3,801	Female	29	1	35	0	< 1 Year	Yes	2,630	160	253	0
501,762	Male	20	1	46	1	< 1 Year	No	27,181	160	278	0
370,190	Male	72	1	3	0	1-2 Year	Yes	29,899	26	223	0
256,986	Male	57	1	28	0	> 2 Years	Yes	53,186	124	194	0
302,820	Male	23	1	8	0	< 1 Year	Yes	26,586	152	245	1
109,040	Male	51	1	8	0	1-2 Year	No	28,463	26	103	0
380,368	Male	45	1	10	0	1-2 Year	Yes	2,630	26	18	1
148,058	Female	23	1	15	0	< 1 Year	Yes	2,630	152	223	0
296,937	Male	24	1	46	1	< 1 Year	No	48,024	26	94	0
36,619	Male	56	1	37	1	1-2 Year	No	2,630	128	296	0
353,499	Female	22	1	15	0	< 1 Year	Yes	28,740	152	224	0
278,406	Female	24	1	11	1	< 1 Year	No	22,682	152	144	0
155,511	Male	71	1	28	0	1-2 Year	Yes	52,212	26	53	0
148,952	Male	68	1	33	0	1-2 Year	Yes	2,630	26	284	0
410,725	Male	41	1	7	0	1-2 Year	Yes	2,630	26	78	1
427,228	Male	22	1	28	1	< 1 Year	No	52,470	152	295	0
98,972	Male	45	1	28	0	1-2 Year	No	31,161	13	109	0
132,395	Female	28	1	41	0	1-2 Year	No	22,894	156	136	0
352,842	Male	74	1	28	0	> 2 Years	Yes	67,107	26	18	0
150,482	Male	20	1	39	0	< 1 Year	Yes	2,630	157	248	0
318,311	Female	33	1	28	0	1-2 Year	Yes	38,819	124	233	1
431,560	Female	43	1	28	0	1-2 Year	Yes	39,536	26	293	1
198,450	Male	25	1	28	1	< 1 Year	No	40,542	152	223	0
101,008	Male	27	1	30	1	< 1 Year	No	58,228	152	100	0
300,156	Male	44	1	33	0	1-2 Year	Yes	28,605	124	139	0
494,320	Female	29	1	21	1	< 1 Year	No	22,169	152	260	0
402,146	Female	60	1	46	1	1-2 Year	No	2,630	124	34	0
470,234	Male	29	1	11	1	< 1 Year	No	28,952	152	187	0
350,728	Female	24	1	28	1	< 1 Year	No	43,256	152	185	0
26,737	Female	24	1	32	0	< 1 Year	Yes	28,852	152	136	0
338	Male	23	1	18	1	< 1 Year	No	35,970	26	16	0
360,827	Female	22	1	37	0	< 1 Year	Yes	40,308	124	245	0
161,345	Male	26	1	8	1	< 1 Year	No	28,525	160	189	0
29,937	Male	79	1	47	1	1-2 Year	No	2,630	113	210	0
12,264	Male	40	1	28	0	1-2 Year	Yes	2,630	26	19	1
140,980	Male	66	1	28	1	1-2 Year	No	29,885	26	67	0
81,457	Male	57	1	23	0	1-2 Year	Yes	35,735	26	207	0
15,909	Female	43	1	28	0	1-2 Year	Yes	25,901	26	153	0
34,041	Female	44	1	46	0	1-2 Year	No	32,357	152	120	0
449,350	Female	24	1	14	1	< 1 Year	No	45,131	152	174	0
199,778	Female	27	1	28	1	< 1 Year	No	57,744	152	173	0
466,816	Female	37	1	6	0	1-2 Year	Yes	28,141	157	74	1
314,262	Female	25	1	41	1	< 1 Year	No	34,913	152	51	0

Subsets and Splits

No community queries yet

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