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
251,089	Male	32	1	28	1	< 1 Year	No	55,284	152	44	0
411,069	Male	50	1	30	1	1-2 Year	No	27,671	152	221	0
73,031	Female	28	1	28	1	< 1 Year	No	49,378	152	256	0
333,915	Female	28	1	15	0	< 1 Year	No	36,433	152	186	0
239,571	Male	26	1	28	0	< 1 Year	Yes	46,408	156	113	1
358,046	Female	71	1	28	0	1-2 Year	Yes	34,089	122	83	0
157,643	Female	21	1	16	0	< 1 Year	Yes	34,609	160	290	0
136,403	Female	62	1	29	0	1-2 Year	Yes	2,630	26	214	1
198,954	Male	35	1	36	1	1-2 Year	No	2,630	124	218	0
454,793	Female	20	1	36	1	< 1 Year	No	49,968	160	176	0
24,574	Male	39	1	28	1	1-2 Year	No	45,291	152	13	0
10,786	Female	51	1	0	0	1-2 Year	Yes	2,630	26	173	0
256,775	Female	43	1	17	0	1-2 Year	Yes	21,747	26	146	0
315,743	Male	27	1	30	1	< 1 Year	No	28,513	152	80	0
192,135	Male	26	1	13	1	< 1 Year	No	24,167	152	46	0
116,229	Male	23	1	8	1	< 1 Year	No	34,930	152	284	0
296,668	Female	31	1	28	1	1-2 Year	No	29,720	26	195	0
31,160	Male	77	1	28	1	1-2 Year	No	28,231	26	28	0
324,890	Male	21	1	43	1	< 1 Year	No	25,582	152	104	0
349,483	Male	24	1	14	1	< 1 Year	No	30,137	152	225	0
118,002	Female	24	1	36	0	< 1 Year	Yes	33,042	152	234	0
262,962	Male	20	1	12	1	< 1 Year	No	18,022	160	18	0
472,190	Male	61	1	28	0	1-2 Year	Yes	57,968	3	176	1
18,324	Female	28	1	28	1	< 1 Year	No	35,715	152	290	0
261,351	Female	25	1	29	1	1-2 Year	No	31,545	26	205	0
492,897	Female	27	1	41	1	< 1 Year	No	25,738	152	267	0
466,708	Female	31	1	2	0	1-2 Year	Yes	2,630	156	12	1
33,282	Female	44	1	28	0	1-2 Year	Yes	42,537	124	249	0
220,447	Male	38	1	28	0	1-2 Year	Yes	38,615	26	114	0
237,407	Male	51	1	29	0	1-2 Year	Yes	36,313	26	217	1
365,234	Male	20	1	28	0	1-2 Year	Yes	2,630	158	26	0
40,949	Male	55	1	28	0	1-2 Year	Yes	35,604	26	29	1
33,003	Female	37	1	28	0	> 2 Years	Yes	47,333	26	233	0
409,244	Female	44	1	28	0	1-2 Year	Yes	46,506	26	139	1
171,490	Male	57	1	30	1	1-2 Year	No	38,252	26	46	0
250,377	Male	21	1	8	1	< 1 Year	No	54,056	160	189	0
128,115	Male	33	1	35	0	1-2 Year	Yes	31,116	124	297	1
362,963	Male	68	1	28	0	1-2 Year	Yes	31,937	124	125	0
19,017	Male	27	1	28	1	< 1 Year	No	39,974	152	98	0
285,898	Female	40	1	28	0	1-2 Year	Yes	37,488	26	182	1
366,986	Male	23	1	6	1	< 1 Year	No	33,900	152	134	0
286,886	Male	40	1	8	0	1-2 Year	Yes	2,630	26	74	1
32,972	Male	55	1	8	0	1-2 Year	Yes	45,582	124	31	1
295,423	Male	49	1	28	1	1-2 Year	No	2,630	152	243	0
458,605	Female	26	1	11	1	< 1 Year	No	27,312	152	106	0
210,693	Female	44	1	46	0	1-2 Year	Yes	2,630	156	251	0
264,584	Male	36	1	15	1	1-2 Year	No	30,118	152	182	0
150,288	Female	51	1	28	0	1-2 Year	Yes	58,308	122	71	1
97,260	Male	22	1	43	0	< 1 Year	Yes	29,643	152	82	0
258,310	Male	20	1	28	0	< 1 Year	Yes	38,125	160	249	0
338,457	Male	57	1	3	0	1-2 Year	Yes	27,708	26	113	0
161,268	Male	56	1	41	0	1-2 Year	Yes	51,068	26	199	1
41,862	Male	30	1	43	0	1-2 Year	Yes	29,867	124	106	1
447,654	Female	23	1	2	1	< 1 Year	No	27,948	152	195	0
476,930	Female	26	1	9	1	< 1 Year	No	36,296	152	49	0
154,321	Female	25	1	37	1	< 1 Year	No	28,254	152	251	0
429,328	Male	21	1	41	1	< 1 Year	No	39,134	152	23	0
97,065	Female	24	1	47	1	< 1 Year	No	29,088	152	80	0
273,756	Female	37	1	38	0	1-2 Year	Yes	22,572	154	151	1
13,822	Male	34	1	41	0	1-2 Year	Yes	22,256	124	143	0
129,701	Male	35	1	28	0	1-2 Year	Yes	30,196	124	155	1
202,098	Male	26	1	34	1	< 1 Year	No	2,630	152	175	0
15,012	Male	20	1	47	0	< 1 Year	Yes	34,290	160	269	0
32,538	Female	22	1	28	1	< 1 Year	No	41,040	160	32	0
348,697	Male	36	1	21	1	1-2 Year	No	33,623	26	30	0
336,230	Male	44	1	28	0	1-2 Year	Yes	50,659	24	40	0
68,642	Female	28	1	14	0	< 1 Year	Yes	24,777	152	260	0
466,318	Female	25	1	28	1	< 1 Year	No	55,326	152	20	0
261,727	Female	42	1	9	0	1-2 Year	Yes	2,630	26	213	0
304,172	Male	23	1	15	1	< 1 Year	No	23,376	152	230	0
95,312	Female	25	1	41	1	< 1 Year	No	30,707	152	101	0
334,400	Female	56	1	0	1	1-2 Year	No	2,630	122	242	0
89,856	Female	39	1	28	0	1-2 Year	Yes	39,097	23	113	0
178,086	Male	42	1	45	0	1-2 Year	Yes	28,136	26	250	1
418,055	Male	46	1	29	0	1-2 Year	Yes	58,433	124	78	1
493,505	Male	23	1	12	1	< 1 Year	No	16,104	152	143	0
305,131	Male	22	1	47	1	< 1 Year	No	39,422	152	290	0
204,681	Female	79	1	28	0	> 2 Years	Yes	31,973	26	70	0
410,620	Female	46	1	28	0	1-2 Year	Yes	39,284	124	140	1
41,619	Female	22	1	8	1	< 1 Year	No	28,611	152	259	0
388,979	Male	42	1	8	0	1-2 Year	Yes	38,466	7	75	1
363,565	Male	43	1	2	1	1-2 Year	No	21,870	124	73	0
117,218	Female	31	1	46	1	< 1 Year	No	26,759	152	63	0
71,757	Female	23	1	50	0	< 1 Year	Yes	41,056	152	264	0
369,964	Male	34	1	8	0	1-2 Year	Yes	29,058	26	265	0
227,383	Female	25	1	28	0	< 1 Year	Yes	36,432	152	33	0
300,268	Male	24	1	47	0	< 1 Year	Yes	25,156	26	73	0
104,324	Female	42	1	21	1	1-2 Year	No	23,802	152	189	0
40,096	Female	36	1	12	1	1-2 Year	No	2,630	160	205	0
9,570	Male	49	1	33	0	1-2 Year	Yes	32,863	26	299	0
73,879	Male	21	1	8	1	< 1 Year	No	72,285	160	145	0
86,558	Female	64	1	28	1	1-2 Year	No	2,630	26	179	0
493,081	Female	61	1	46	1	1-2 Year	No	44,233	11	297	0
72,090	Male	29	1	41	1	< 1 Year	No	25,601	152	133	0
157,463	Female	50	1	0	0	1-2 Year	Yes	2,630	26	268	0
115,462	Female	23	1	8	1	< 1 Year	No	40,220	151	116	0
155,698	Female	23	1	15	1	< 1 Year	No	29,580	152	258	0
435,602	Female	79	1	28	1	1-2 Year	No	29,537	122	119	0
268,917	Male	46	1	28	0	> 2 Years	Yes	35,043	55	133	1
194,837	Male	68	1	28	0	> 2 Years	Yes	63,855	26	30	0

Subsets and Splits

No community queries yet

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