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
276,946	Male	26	1	6	1	< 1 Year	No	28,874	152	67	0
371,905	Male	51	1	28	0	1-2 Year	Yes	24,014	124	52	1
29,782	Female	35	1	39	1	1-2 Year	No	2,630	152	149	0
99,090	Female	49	1	48	0	> 2 Years	Yes	2,630	124	183	0
97,984	Female	56	1	15	1	1-2 Year	No	37,257	124	18	0
110,824	Female	55	1	35	0	1-2 Year	Yes	27,545	26	288	0
26,409	Male	23	1	37	1	< 1 Year	No	30,596	152	89	0
325,511	Female	23	1	18	1	< 1 Year	No	39,570	152	228	0
111,283	Male	21	1	14	1	< 1 Year	No	40,651	160	34	0
176,174	Male	62	1	2	0	1-2 Year	Yes	37,627	154	33	0
27,292	Male	62	1	28	1	1-2 Year	No	46,801	122	54	0
457,178	Female	24	1	36	1	< 1 Year	No	32,313	152	42	0
165,488	Male	41	1	8	0	1-2 Year	Yes	2,630	156	35	0
345,319	Male	41	1	28	1	1-2 Year	No	2,630	124	210	0
262,570	Female	23	1	46	1	< 1 Year	No	2,630	152	263	0
74,905	Male	29	1	8	1	< 1 Year	No	53,135	152	279	0
177,285	Female	36	1	28	1	1-2 Year	No	33,721	26	50	0
378,423	Female	21	1	46	1	< 1 Year	No	30,917	160	58	0
361,719	Female	45	1	15	0	1-2 Year	Yes	26,408	14	50	0
35,917	Female	23	1	8	0	< 1 Year	Yes	33,406	152	136	0
89,287	Male	72	1	12	0	1-2 Year	Yes	39,087	20	284	0
221,051	Female	32	1	8	0	1-2 Year	Yes	31,424	154	22	0
205,490	Female	63	1	28	0	1-2 Year	Yes	27,632	124	11	0
322,813	Female	30	1	28	0	1-2 Year	Yes	40,434	163	103	1
123,626	Female	26	1	10	1	< 1 Year	No	29,044	152	93	0
261,649	Female	31	1	28	1	< 1 Year	No	32,581	151	134	0
65,285	Female	23	1	28	1	< 1 Year	No	25,504	152	188	0
335,873	Male	26	1	46	0	1-2 Year	Yes	18,737	154	168	0
403,981	Female	32	1	29	1	< 1 Year	No	24,338	152	274	0
156,228	Male	29	1	26	1	< 1 Year	No	28,383	152	30	0
44,724	Male	47	1	50	0	1-2 Year	Yes	35,737	124	153	0
273,769	Male	26	1	19	1	< 1 Year	No	38,491	152	127	0
400,567	Male	21	1	22	1	< 1 Year	No	36,873	152	37	0
286,901	Female	62	1	28	0	> 2 Years	Yes	43,646	26	89	0
340,965	Female	25	1	28	1	< 1 Year	No	26,889	160	32	0
329,922	Female	24	1	8	1	< 1 Year	No	72,126	152	108	0
466,758	Female	36	1	41	0	1-2 Year	Yes	26,278	12	248	1
289,400	Male	65	1	29	0	1-2 Year	Yes	30,422	124	243	1
414,386	Male	28	1	28	0	1-2 Year	Yes	22,545	124	279	1
35,809	Female	25	1	10	0	< 1 Year	Yes	24,559	152	31	0
122,556	Male	41	1	28	0	1-2 Year	Yes	32,885	124	188	0
57,409	Male	26	1	14	0	< 1 Year	Yes	2,630	160	263	0
359,277	Male	74	1	50	0	1-2 Year	No	26,160	63	280	0
475,328	Female	23	1	48	1	< 1 Year	No	2,630	152	45	0
386,666	Male	21	1	46	1	< 1 Year	No	25,791	152	157	0
126,950	Male	48	1	28	0	1-2 Year	Yes	43,684	124	48	0
229,347	Male	25	1	30	1	< 1 Year	No	2,630	152	288	0
457,250	Female	24	1	46	1	< 1 Year	No	33,429	152	140	0
306,002	Male	32	1	3	1	< 1 Year	No	45,928	152	130	0
145,680	Female	36	1	46	0	1-2 Year	Yes	34,824	152	192	0
12,340	Female	26	1	45	0	1-2 Year	Yes	25,251	124	123	0
494,462	Female	30	1	18	1	1-2 Year	No	35,617	131	59	0
351,981	Male	34	1	32	0	1-2 Year	Yes	2,630	26	46	1
274,365	Male	53	1	46	0	1-2 Year	Yes	21,361	124	226	0
246,272	Male	21	1	36	0	< 1 Year	Yes	26,975	152	30	0
202,983	Male	29	1	30	0	1-2 Year	Yes	29,132	129	211	0
401,224	Male	21	1	46	1	< 1 Year	No	30,151	160	142	0
332,794	Male	38	1	22	0	1-2 Year	Yes	43,034	124	182	0
335,700	Female	21	1	30	1	< 1 Year	Yes	36,497	152	215	0
126,364	Female	64	1	28	0	> 2 Years	Yes	38,115	26	86	0
27,477	Female	60	1	44	0	1-2 Year	Yes	34,490	30	37	0
487,113	Male	25	1	10	1	< 1 Year	No	23,783	152	40	0
146,336	Male	27	1	29	1	< 1 Year	No	30,914	152	224	0
76,856	Male	72	1	28	0	> 2 Years	Yes	43,757	124	146	0
142,196	Male	32	1	28	0	1-2 Year	Yes	33,065	122	22	1
364,383	Female	31	1	30	1	< 1 Year	No	25,024	152	232	0
37,397	Male	59	1	41	1	1-2 Year	No	37,287	124	163	0
364,597	Male	33	1	0	0	1-2 Year	No	2,630	61	71	0
24,007	Male	27	1	14	0	< 1 Year	Yes	25,795	152	31	0
372,013	Male	53	1	30	1	1-2 Year	No	25,435	152	193	0
90,236	Female	25	1	41	1	< 1 Year	No	46,413	152	180	0
303,507	Female	41	1	39	0	1-2 Year	No	2,630	156	96	0
287,990	Male	51	1	28	1	1-2 Year	No	61,474	26	141	0
155,112	Female	23	1	39	1	< 1 Year	No	29,227	152	194	0
178,237	Female	26	1	45	1	< 1 Year	No	35,195	152	208	0
49,022	Female	55	1	28	1	1-2 Year	No	48,701	15	89	0
304,187	Male	36	1	36	0	1-2 Year	Yes	55,908	152	147	0
359,373	Male	51	1	14	0	1-2 Year	Yes	2,630	124	134	0
189,240	Male	33	1	8	1	< 1 Year	No	2,630	152	121	0
489,730	Male	52	1	30	1	1-2 Year	No	24,733	152	35	0
224,475	Male	45	1	30	1	1-2 Year	No	32,708	140	182	0
177,840	Male	21	1	45	0	< 1 Year	Yes	27,534	160	97	0
380,222	Male	27	1	45	1	< 1 Year	No	35,625	26	159	0
275,075	Female	20	1	46	0	< 1 Year	No	28,986	160	292	0
51,635	Male	21	1	11	0	< 1 Year	No	28,867	152	91	0
302,419	Male	52	1	28	0	1-2 Year	Yes	2,630	163	76	1
2,398	Female	70	1	28	0	> 2 Years	Yes	33,143	26	117	0
420,135	Male	37	1	33	0	1-2 Year	Yes	29,453	124	259	1
403,072	Male	25	1	15	1	< 1 Year	No	43,901	152	81	0
169,533	Female	22	1	13	0	< 1 Year	Yes	32,612	152	284	0
480,732	Female	43	1	28	0	1-2 Year	Yes	50,595	26	56	1
297,765	Male	25	1	28	1	< 1 Year	Yes	37,350	152	86	0
104,607	Male	63	1	8	0	1-2 Year	No	39,212	19	98	0
316,094	Male	24	1	8	1	< 1 Year	No	52,996	152	263	0
327,378	Male	49	1	23	0	1-2 Year	Yes	36,007	124	290	0
3,068	Male	44	1	28	0	1-2 Year	Yes	37,781	26	231	0
381,515	Female	34	1	28	0	1-2 Year	Yes	40,969	24	238	1
302,049	Female	23	1	28	0	< 1 Year	Yes	24,148	152	224	0
41,673	Male	50	1	11	0	1-2 Year	Yes	29,419	124	203	1
145,661	Female	27	1	9	0	< 1 Year	Yes	34,735	152	230	0

Subsets and Splits

No community queries yet

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