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
502,531	Female	53	1	28	0	1-2 Year	Yes	38,157	26	219	1
408,389	Male	31	1	50	1	< 1 Year	No	36,523	8	151	0
231,984	Male	44	1	46	0	1-2 Year	No	25,339	26	168	0
302,690	Female	21	1	26	1	< 1 Year	No	30,212	160	101	0
25,718	Female	47	1	28	0	1-2 Year	Yes	62,057	124	279	0
5,421	Female	48	1	50	0	1-2 Year	Yes	2,630	30	177	0
104,298	Female	25	1	28	0	< 1 Year	Yes	47,631	152	289	0
208,453	Female	23	1	14	1	< 1 Year	No	29,189	152	88	0
33,750	Male	76	1	28	0	> 2 Years	Yes	41,099	122	299	0
49,137	Female	25	1	27	0	< 1 Year	No	31,601	152	142	0
301,093	Female	25	1	6	1	< 1 Year	No	39,430	152	201	0
170,227	Male	26	1	28	0	< 1 Year	Yes	50,596	26	176	1
496,159	Female	39	1	28	0	1-2 Year	Yes	33,641	26	71	1
37,182	Male	25	1	15	1	< 1 Year	No	36,820	152	46	0
364,431	Male	35	1	29	1	1-2 Year	No	22,826	152	79	0
129,556	Male	27	1	36	1	< 1 Year	No	33,113	151	189	0
461,994	Female	28	1	46	1	< 1 Year	No	27,811	152	153	0
126,187	Male	21	1	28	0	< 1 Year	Yes	31,890	160	125	0
13,421	Female	55	1	28	0	> 2 Years	Yes	64,541	61	185	0
175,635	Female	63	1	28	0	1-2 Year	Yes	39,470	26	121	0
248,973	Male	54	1	41	0	1-2 Year	Yes	2,630	157	163	0
298,950	Female	45	1	17	0	> 2 Years	Yes	46,067	26	279	1
101,977	Male	35	1	3	0	1-2 Year	Yes	23,027	152	36	1
249,579	Female	49	1	8	0	1-2 Year	Yes	62,637	124	242	0
37,376	Female	25	1	36	1	< 1 Year	No	36,795	152	89	0
381,174	Male	25	1	8	1	< 1 Year	No	39,046	152	110	0
503,332	Male	33	1	50	1	< 1 Year	No	32,550	152	164	0
388,757	Male	27	1	41	1	< 1 Year	No	42,059	26	74	0
398,421	Male	56	1	28	1	1-2 Year	No	29,391	124	212	0
278,396	Male	25	1	41	1	< 1 Year	No	24,032	152	248	0
455,141	Male	47	1	26	0	1-2 Year	Yes	26,903	26	81	1
19,662	Female	33	1	46	1	1-2 Year	No	2,630	122	149	0
89,707	Female	65	1	28	0	1-2 Year	Yes	29,502	23	32	0
110,474	Female	27	1	47	1	< 1 Year	No	27,574	152	98	0
322,209	Male	57	1	28	0	1-2 Year	Yes	39,303	158	252	1
97,890	Male	36	1	28	0	1-2 Year	Yes	26,250	124	94	1
322,699	Male	25	1	35	1	< 1 Year	No	46,510	152	186	0
67,961	Female	46	1	7	0	1-2 Year	Yes	31,334	26	102	1
483,715	Female	36	1	28	0	1-2 Year	Yes	31,707	124	235	1
406,101	Female	22	1	8	1	< 1 Year	No	42,933	152	218	0
185,166	Female	55	1	48	0	> 2 Years	Yes	2,630	15	141	0
9,064	Female	23	1	36	1	< 1 Year	No	38,263	152	14	0
406,135	Male	22	1	33	1	< 1 Year	No	39,200	152	298	0
67,665	Female	26	1	35	1	< 1 Year	No	17,977	152	74	0
78,511	Female	44	1	23	0	1-2 Year	Yes	35,490	26	96	1
396,089	Female	33	1	29	1	< 1 Year	No	2,630	152	142	0
221,723	Female	22	1	28	1	< 1 Year	Yes	32,421	26	147	0
267,057	Female	22	1	28	0	< 1 Year	Yes	45,154	152	265	0
120,929	Female	38	1	15	0	1-2 Year	Yes	44,062	124	236	0
502,535	Male	44	1	28	1	1-2 Year	No	31,196	26	217	0
313,613	Male	49	1	8	0	> 2 Years	Yes	37,797	124	116	0
17,579	Male	70	1	3	1	1-2 Year	Yes	22,174	124	36	0
26,695	Male	41	1	45	0	1-2 Year	Yes	26,163	26	173	0
312,344	Male	27	1	29	1	< 1 Year	No	45,118	152	179	0
346,657	Male	46	1	28	0	> 2 Years	Yes	51,072	26	201	0
151,148	Male	59	1	13	0	> 2 Years	Yes	30,754	26	49	1
167,198	Female	29	1	11	1	< 1 Year	No	2,630	152	40	0
256,399	Male	68	1	18	0	1-2 Year	No	32,886	124	237	0
478,277	Female	31	1	28	0	< 1 Year	Yes	48,829	26	169	1
47,708	Female	20	1	2	0	< 1 Year	Yes	32,440	160	190	0
15,536	Female	26	1	32	1	< 1 Year	No	2,630	152	278	0
365,264	Male	29	1	22	0	1-2 Year	Yes	31,189	154	197	0
308,254	Male	40	1	15	1	1-2 Year	No	2,630	160	20	0
149,614	Female	21	1	30	1	< 1 Year	No	23,613	160	212	0
317,100	Female	56	1	39	1	1-2 Year	No	27,750	122	291	0
272,661	Female	31	1	32	1	1-2 Year	No	28,048	156	152	0
338,042	Male	60	1	28	0	1-2 Year	Yes	64,199	26	276	0
365,723	Female	61	1	41	0	1-2 Year	Yes	30,554	26	41	1
102,471	Male	38	1	28	0	1-2 Year	Yes	48,178	26	117	0
363,923	Female	27	1	38	1	< 1 Year	No	47,691	152	186	0
281,099	Male	22	1	29	1	< 1 Year	No	25,722	163	278	0
92,763	Male	22	1	3	1	< 1 Year	No	26,800	152	154	0
24,241	Female	33	1	15	1	1-2 Year	Yes	29,193	124	34	0
360,791	Male	61	1	41	0	1-2 Year	Yes	35,783	124	109	0
80,556	Male	25	1	28	1	< 1 Year	No	30,610	152	259	0
26,319	Male	48	1	35	1	1-2 Year	Yes	29,910	163	33	0
21,209	Female	76	1	41	0	1-2 Year	Yes	36,449	26	245	0
239,321	Female	39	1	28	0	1-2 Year	Yes	34,329	124	190	0
343,709	Female	22	1	28	1	< 1 Year	No	21,801	152	274	0
23,380	Female	46	1	8	1	1-2 Year	No	27,620	124	58	0
18,412	Female	80	1	43	0	> 2 Years	Yes	42,589	124	192	0
354,593	Female	47	1	29	1	1-2 Year	No	31,018	124	294	0
462,683	Male	21	1	46	1	< 1 Year	No	33,476	160	291	0
300,478	Female	35	1	8	0	1-2 Year	Yes	43,720	152	146	0
452,287	Female	25	1	41	1	< 1 Year	No	30,723	152	263	0
74,594	Male	38	1	28	0	1-2 Year	No	50,487	122	14	0
311,751	Female	25	1	30	1	< 1 Year	No	35,235	152	135	0
133,393	Female	22	1	8	0	< 1 Year	Yes	37,175	152	240	0
223,334	Female	46	1	28	0	1-2 Year	Yes	49,026	26	248	0
195,100	Male	22	1	41	0	< 1 Year	Yes	36,863	152	58	0
127,534	Male	47	1	28	0	1-2 Year	Yes	39,126	124	85	0
153,878	Female	45	1	8	0	1-2 Year	Yes	2,630	124	84	0
292,125	Male	26	1	3	1	< 1 Year	No	20,232	152	26	0
214,949	Female	22	1	37	0	< 1 Year	No	31,310	152	190	0
299,090	Male	36	1	30	0	1-2 Year	Yes	28,453	154	273	1
332,054	Male	24	1	14	1	< 1 Year	No	38,729	152	103	0
385,834	Female	35	1	18	0	1-2 Year	Yes	36,981	124	156	1
264,090	Male	35	1	28	0	1-2 Year	Yes	81,515	26	200	0
135,973	Female	71	1	48	1	1-2 Year	No	2,630	26	160	0
183,900	Male	22	1	14	1	< 1 Year	No	39,506	152	176	0

Subsets and Splits

No community queries yet

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