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
78,423	Male	49	1	8	1	1-2 Year	No	42,578	26	292	0
214,271	Male	39	1	28	0	> 2 Years	Yes	44,337	124	138	1
243,673	Male	74	1	39	1	1-2 Year	Yes	25,629	124	258	0
33,640	Female	23	1	21	1	< 1 Year	No	2,630	152	14	0
460,952	Male	26	1	29	1	< 1 Year	No	40,268	152	289	0
120,083	Female	74	1	28	1	1-2 Year	No	27,257	26	139	0
161,103	Female	56	1	28	0	1-2 Year	Yes	2,630	26	238	0
190,839	Male	72	1	29	1	1-2 Year	No	31,403	55	65	0
395,823	Male	39	1	15	1	1-2 Year	No	22,665	152	72	0
224,784	Male	24	1	3	0	< 1 Year	Yes	33,250	124	164	0
153,340	Female	21	1	8	0	< 1 Year	Yes	50,764	152	282	0
264,721	Female	23	1	46	1	< 1 Year	No	31,997	160	256	0
209,590	Female	27	1	33	1	< 1 Year	No	37,408	152	116	0
273,666	Female	28	1	28	1	< 1 Year	No	30,300	152	143	0
49,482	Female	38	1	3	1	1-2 Year	No	43,362	124	169	0
345,223	Male	63	1	8	0	1-2 Year	Yes	38,324	154	31	0
286,188	Female	38	1	20	0	1-2 Year	Yes	2,630	156	157	0
129,113	Male	35	1	28	0	1-2 Year	Yes	31,734	155	149	0
42,151	Male	20	1	2	1	< 1 Year	Yes	28,587	160	163	0
100,609	Male	46	1	14	0	1-2 Year	Yes	33,253	26	118	1
57,169	Male	55	1	20	1	1-2 Year	No	2,630	124	263	0
197,735	Male	51	1	28	1	1-2 Year	Yes	39,226	26	16	0
268,448	Male	48	1	28	1	1-2 Year	No	39,162	52	92	0
372,432	Female	45	1	28	0	1-2 Year	Yes	42,345	26	31	1
183,802	Female	37	1	8	0	1-2 Year	Yes	2,630	157	275	0
432,620	Female	28	1	6	1	< 1 Year	No	23,624	152	173	0
486,812	Female	47	1	28	0	1-2 Year	Yes	26,262	124	210	1
391,919	Male	29	1	46	0	< 1 Year	Yes	2,630	156	184	1
470,573	Male	44	1	28	0	1-2 Year	Yes	2,630	124	103	1
417,266	Male	25	1	29	1	< 1 Year	No	41,181	152	147	0
587	Male	21	1	26	0	< 1 Year	Yes	25,205	160	256	0
93,989	Male	64	1	3	1	1-2 Year	No	25,824	124	176	0
247,317	Male	32	1	48	0	1-2 Year	Yes	2,630	15	215	1
5,175	Male	23	1	30	1	< 1 Year	No	26,776	152	291	0
291,445	Female	81	1	50	1	1-2 Year	No	32,054	8	30	0
309,509	Male	28	1	26	0	< 1 Year	Yes	43,689	152	54	1
333,669	Female	56	1	28	1	1-2 Year	No	44,833	26	90	0
49,208	Female	23	1	36	0	< 1 Year	No	2,630	151	90	0
266,299	Female	47	1	28	0	1-2 Year	Yes	45,399	124	195	0
92,951	Male	65	1	46	1	1-2 Year	No	27,877	26	208	0
132,407	Male	31	1	28	1	1-2 Year	No	313,424	122	136	0
377,217	Female	38	1	28	0	1-2 Year	Yes	2,630	152	165	1
272,859	Female	39	1	50	0	1-2 Year	Yes	33,172	124	208	0
420,474	Male	40	1	28	0	1-2 Year	Yes	42,873	124	260	1
34,802	Male	61	1	7	0	> 2 Years	Yes	60,556	124	73	0
14,674	Female	39	1	41	1	1-2 Year	Yes	2,630	153	69	0
167,576	Male	63	1	34	1	1-2 Year	No	26,234	152	120	0
437,797	Male	59	1	28	0	> 2 Years	Yes	67,861	26	154	1
293,800	Male	25	1	9	0	< 1 Year	No	23,154	152	269	0
289,029	Male	20	1	8	0	< 1 Year	Yes	37,445	160	48	0
250,313	Male	60	1	8	1	1-2 Year	No	43,595	26	47	0
53,823	Male	24	1	29	1	< 1 Year	No	32,081	152	33	0
20,950	Female	29	1	21	1	< 1 Year	No	32,034	152	225	0
186,386	Male	21	1	8	0	< 1 Year	Yes	2,630	160	175	0
252,282	Male	41	1	28	1	1-2 Year	No	55,174	125	39	0
339,216	Male	21	1	47	1	< 1 Year	Yes	2,630	160	49	0
270,020	Female	38	1	28	0	1-2 Year	Yes	34,175	122	19	0
150,989	Male	45	1	11	1	1-2 Year	No	30,759	124	112	0
129,686	Female	22	1	14	0	< 1 Year	No	24,961	152	140	0
204,313	Female	20	1	9	1	< 1 Year	No	36,287	160	201	0
290,105	Female	25	1	41	1	< 1 Year	No	14,736	152	125	0
451,205	Female	23	1	7	1	< 1 Year	No	39,664	152	176	0
131,372	Female	32	1	6	0	< 1 Year	Yes	35,002	152	199	0
97,611	Female	40	1	41	0	1-2 Year	Yes	39,709	12	138	1
196,720	Female	23	1	8	1	< 1 Year	No	50,384	26	208	0
146,800	Male	48	1	28	0	1-2 Year	Yes	49,092	26	182	1
466,974	Male	22	1	47	1	< 1 Year	No	44,879	152	105	0
162,448	Male	29	1	30	1	< 1 Year	No	27,542	152	35	0
231,331	Male	60	1	47	0	1-2 Year	Yes	2,630	124	75	0
180,202	Female	45	1	8	0	1-2 Year	Yes	48,065	26	107	0
22,686	Male	51	1	8	1	1-2 Year	No	51,553	26	114	0
113,710	Female	52	1	35	1	1-2 Year	No	24,656	26	235	0
94,681	Male	22	1	29	0	< 1 Year	Yes	24,954	124	209	0
32,202	Male	55	1	28	1	1-2 Year	No	48,975	26	97	0
366,885	Female	23	1	41	1	< 1 Year	No	36,309	152	131	0
442,387	Female	43	1	28	0	> 2 Years	Yes	2,630	26	230	1
438,842	Male	53	1	41	0	1-2 Year	Yes	32,247	26	17	1
167,114	Female	55	1	46	0	1-2 Year	Yes	22,312	124	60	0
62,876	Female	33	1	33	0	< 1 Year	Yes	36,572	152	177	0
267,125	Female	32	1	21	0	< 1 Year	No	2,630	152	296	0
34,473	Male	51	1	29	0	1-2 Year	Yes	19,515	26	77	0
295,508	Male	47	1	2	0	1-2 Year	Yes	28,336	157	39	1
249,415	Female	25	1	3	0	< 1 Year	Yes	29,225	26	246	0
285,589	Male	48	1	28	0	1-2 Year	Yes	41,333	124	22	0
307,080	Male	53	1	50	1	1-2 Year	No	35,626	8	259	0
127,368	Male	36	1	38	0	1-2 Year	Yes	30,084	154	290	0
324,052	Male	41	1	8	0	1-2 Year	Yes	49,458	124	227	1
325,942	Male	29	1	18	1	< 1 Year	No	21,406	152	88	0
247,649	Male	28	1	28	1	< 1 Year	No	33,113	152	37	0
401,439	Male	52	1	28	0	1-2 Year	Yes	30,204	26	75	1
200,723	Male	56	1	8	0	1-2 Year	Yes	40,816	82	112	0
5,771	Female	43	1	47	0	1-2 Year	Yes	35,254	124	251	0
163,160	Male	21	1	41	1	< 1 Year	No	44,866	153	249	0
356,674	Male	42	1	28	1	1-2 Year	No	38,265	60	195	0
437,221	Female	24	1	11	1	< 1 Year	No	34,122	152	238	0
4,416	Male	47	1	36	0	1-2 Year	Yes	2,630	124	201	0
426,161	Male	29	1	15	1	< 1 Year	No	29,310	160	98	0
181,440	Female	41	1	0	1	1-2 Year	No	2,630	152	237	0
495,034	Male	35	1	43	0	1-2 Year	Yes	2,630	157	89	1
24,816	Male	41	1	17	0	1-2 Year	Yes	35,062	124	18	0

Subsets and Splits

No community queries yet

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