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
360,508	Female	20	1	33	1	< 1 Year	No	2,630	160	185	0
104,383	Female	28	1	15	1	< 1 Year	No	24,175	152	177	0
228,340	Male	22	1	30	1	< 1 Year	No	21,955	152	92	0
174,935	Male	29	1	3	0	1-2 Year	Yes	2,630	124	186	0
35,544	Female	24	1	37	1	< 1 Year	No	39,085	152	24	0
173,540	Female	38	1	46	1	1-2 Year	No	27,602	26	117	0
271,726	Male	31	1	50	1	< 1 Year	No	30,647	152	43	0
362,031	Male	36	1	28	0	1-2 Year	Yes	50,204	26	80	0
315,559	Female	31	1	23	0	1-2 Year	Yes	2,630	156	132	0
214,981	Female	61	1	28	0	1-2 Year	Yes	39,730	13	270	1
206,737	Female	27	1	46	1	< 1 Year	No	2,630	152	125	0
490,476	Male	22	1	8	1	< 1 Year	No	47,724	152	169	0
163,396	Male	68	1	26	0	> 2 Years	Yes	25,798	120	230	0
176,035	Male	21	1	35	0	1-2 Year	Yes	38,308	154	134	0
312,764	Female	42	1	15	0	1-2 Year	No	2,630	26	95	0
341,829	Female	24	1	41	1	< 1 Year	No	33,913	152	238	0
174,813	Male	23	1	28	0	1-2 Year	Yes	2,630	156	223	0
380,585	Male	28	1	47	0	< 1 Year	Yes	2,630	156	231	1
481,614	Male	41	1	15	1	1-2 Year	No	2,630	26	124	0
331,689	Male	67	1	25	0	1-2 Year	Yes	38,314	26	187	1
443,653	Male	35	1	28	0	1-2 Year	Yes	40,438	26	117	1
81,760	Female	43	1	46	0	1-2 Year	Yes	29,305	11	202	0
213,778	Female	26	1	18	1	< 1 Year	No	24,456	152	41	0
119,602	Female	26	1	35	1	< 1 Year	No	2,630	152	143	0
131,567	Female	52	1	28	0	1-2 Year	Yes	26,213	26	136	0
359,699	Male	48	1	48	1	1-2 Year	No	2,630	124	46	0
46,421	Female	24	1	28	1	< 1 Year	No	41,371	152	233	0
246,724	Male	39	1	28	1	1-2 Year	No	28,404	124	114	0
103,368	Male	21	1	32	0	< 1 Year	Yes	23,412	160	143	0
340,544	Female	59	1	41	1	1-2 Year	No	48,575	26	234	0
92,553	Male	48	1	28	1	1-2 Year	No	42,234	124	205	0
207,741	Male	27	1	28	1	< 1 Year	No	33,490	152	75	0
496,692	Female	27	1	41	1	< 1 Year	No	48,935	152	211	0
13,138	Male	24	1	6	0	< 1 Year	Yes	31,722	152	83	0
140,510	Female	47	1	28	0	1-2 Year	Yes	38,767	26	224	1
64,891	Male	50	1	8	0	1-2 Year	Yes	35,039	31	175	1
173,550	Female	26	1	46	1	< 1 Year	No	34,680	152	77	0
135,597	Female	48	1	48	0	1-2 Year	No	2,630	157	167	0
317,853	Male	45	1	21	0	1-2 Year	Yes	2,630	157	250	0
96,216	Female	22	1	10	1	< 1 Year	No	36,782	152	187	0
56,998	Female	53	1	26	0	1-2 Year	Yes	29,736	154	154	0
11,574	Male	68	1	25	1	1-2 Year	Yes	21,337	30	206	0
294,659	Male	45	1	45	0	1-2 Year	No	2,630	26	179	0
432,717	Female	42	1	47	0	1-2 Year	Yes	32,435	26	252	1
30,396	Male	41	1	41	0	< 1 Year	No	2,630	1	90	0
190,909	Male	34	1	3	1	1-2 Year	No	30,479	26	58	0
201,346	Male	35	1	30	1	1-2 Year	No	2,630	157	112	0
127,305	Female	25	1	41	1	< 1 Year	No	35,831	152	68	0
504,273	Female	40	1	8	0	1-2 Year	Yes	47,510	124	191	1
211,554	Female	30	1	46	1	< 1 Year	No	21,932	152	33	0
221,905	Male	43	1	8	0	1-2 Year	Yes	32,768	124	266	1
303,434	Male	74	1	2	0	1-2 Year	No	29,181	26	118	0
344,857	Male	21	1	35	1	< 1 Year	Yes	26,787	152	174	0
96,343	Male	48	1	4	0	1-2 Year	Yes	23,089	124	269	0
269,454	Male	23	1	28	0	< 1 Year	Yes	40,129	152	46	0
62,174	Male	23	1	16	0	< 1 Year	Yes	27,879	152	42	0
454,497	Male	22	1	22	1	< 1 Year	No	35,287	152	145	0
64,722	Male	26	1	6	1	< 1 Year	No	25,141	152	293	0
84,750	Male	20	1	10	0	< 1 Year	Yes	20,718	160	124	0
337,402	Male	28	1	11	1	< 1 Year	No	33,203	152	140	0
489,395	Male	24	1	29	1	< 1 Year	No	39,226	152	149	0
222,936	Male	39	1	30	1	1-2 Year	No	2,630	152	242	0
475,318	Male	60	1	28	1	1-2 Year	No	62,705	26	149	0
291,857	Female	23	1	14	1	< 1 Year	Yes	26,077	152	147	0
166,628	Male	26	1	28	1	< 1 Year	No	38,281	152	233	0
78,375	Female	33	1	17	1	1-2 Year	No	23,518	124	77	0
213,606	Male	30	1	39	0	1-2 Year	Yes	2,630	124	37	0
337,329	Female	21	1	35	0	< 1 Year	Yes	34,632	160	80	0
303,406	Male	28	1	8	1	< 1 Year	No	56,260	152	245	0
108,541	Male	29	1	41	1	< 1 Year	No	2,630	160	26	0
11,875	Male	26	1	46	0	1-2 Year	Yes	2,630	157	41	0
24,386	Male	50	1	35	0	1-2 Year	Yes	2,630	26	217	1
96,910	Male	23	1	40	1	< 1 Year	No	43,053	152	195	0
286,128	Female	24	1	21	1	< 1 Year	No	31,624	152	62	0
24,213	Male	38	1	28	0	1-2 Year	Yes	2,630	124	198	0
269,743	Female	32	1	28	1	< 1 Year	No	29,470	152	153	0
245,989	Male	79	1	41	1	1-2 Year	No	19,778	122	141	0
82,266	Male	43	1	28	0	1-2 Year	No	39,023	26	127	0
280,956	Male	37	1	30	0	1-2 Year	Yes	29,458	124	163	1
469,845	Male	21	1	46	1	< 1 Year	No	31,192	160	229	0
36,574	Male	46	1	50	1	1-2 Year	Yes	41,285	8	69	0
323,435	Male	20	1	41	1	< 1 Year	No	32,931	160	34	0
273,989	Female	50	1	26	1	1-2 Year	No	2,630	22	222	0
339,187	Female	24	1	8	0	< 1 Year	Yes	47,447	152	154	0
283,222	Female	21	1	32	1	< 1 Year	No	28,780	152	139	0
312,339	Female	78	1	0	0	1-2 Year	Yes	2,630	26	151	0
244,577	Male	41	1	14	1	1-2 Year	No	2,630	124	232	0
19,557	Male	27	1	29	1	< 1 Year	No	25,662	152	201	0
392,251	Female	21	1	8	1	< 1 Year	No	34,582	160	231	0
240,373	Female	24	1	37	0	< 1 Year	Yes	31,190	152	282	1
394,074	Female	46	1	41	0	1-2 Year	Yes	22,644	155	128	1
166,831	Male	22	1	8	1	< 1 Year	No	51,417	152	242	0
336,457	Female	40	1	28	0	1-2 Year	No	2,630	124	107	0
177,154	Male	59	1	28	0	1-2 Year	Yes	34,083	26	290	0
157,936	Male	43	1	49	0	1-2 Year	Yes	22,716	26	200	0
421,928	Female	40	1	15	0	1-2 Year	Yes	2,630	124	67	1
156,670	Male	49	1	10	1	1-2 Year	No	29,877	152	216	0
289,844	Female	22	1	47	0	< 1 Year	Yes	2,630	152	204	0
117,452	Female	41	1	41	0	1-2 Year	Yes	31,191	26	37	1
86,065	Female	23	1	3	1	< 1 Year	No	32,098	152	296	0

Subsets and Splits

No community queries yet

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