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
327,489	Female	25	1	28	1	< 1 Year	No	38,526	152	51	0
253,107	Female	24	1	36	1	< 1 Year	No	38,033	152	88	0
163,432	Female	40	1	15	1	1-2 Year	No	24,077	152	101	0
381,655	Female	21	1	50	1	< 1 Year	No	40,034	152	24	0
398,045	Female	47	1	28	0	1-2 Year	Yes	31,308	26	110	1
40,771	Male	32	1	41	0	1-2 Year	Yes	32,429	26	10	1
362,448	Female	47	1	11	0	1-2 Year	Yes	42,766	26	227	0
249,731	Male	21	1	28	0	< 1 Year	Yes	27,585	152	63	0
245,928	Female	57	1	41	0	1-2 Year	Yes	40,557	12	125	0
73,032	Male	48	1	28	1	1-2 Year	No	47,842	26	270	0
90,195	Female	25	1	46	1	< 1 Year	No	28,073	152	94	0
317,723	Male	24	1	43	1	1-2 Year	No	27,489	124	69	0
278,208	Male	72	1	48	0	1-2 Year	No	2,630	15	199	0
291,823	Male	57	1	28	0	1-2 Year	No	2,630	26	152	0
376,453	Male	55	1	41	1	1-2 Year	Yes	25,706	26	153	0
383,724	Female	26	1	30	1	< 1 Year	No	23,353	152	25	0
271,637	Female	24	1	10	1	< 1 Year	No	30,845	152	246	0
335,415	Male	24	1	27	1	< 1 Year	No	26,679	152	37	0
315,343	Female	56	1	48	1	1-2 Year	No	2,630	26	76	0
336,643	Male	44	1	15	0	1-2 Year	Yes	26,425	163	208	0
51,754	Female	48	1	28	0	1-2 Year	Yes	45,817	26	62	0
485,223	Male	65	1	28	1	1-2 Year	No	29,448	26	157	0
442,137	Male	22	1	46	1	< 1 Year	No	27,723	152	204	0
61,154	Male	70	1	3	1	1-2 Year	No	20,396	26	178	0
76,581	Female	37	1	39	1	1-2 Year	No	35,079	124	40	0
260,233	Male	49	1	23	1	1-2 Year	No	29,402	26	22	0
55,354	Female	72	1	29	0	1-2 Year	Yes	41,284	26	183	1
61,382	Male	47	1	28	1	1-2 Year	No	44,229	124	16	0
315,484	Female	65	1	28	0	1-2 Year	Yes	35,590	122	214	1
489,603	Male	28	1	8	1	< 1 Year	No	43,320	26	273	0
129,704	Male	75	1	40	1	1-2 Year	No	2,630	26	87	0
378,733	Female	39	1	8	0	1-2 Year	Yes	2,630	157	221	1
214,064	Male	40	1	28	0	1-2 Year	Yes	35,551	124	178	1
298,478	Male	64	1	28	0	1-2 Year	Yes	38,723	26	287	1
242,582	Male	29	1	28	0	1-2 Year	Yes	2,630	156	114	0
444,682	Female	25	1	27	1	< 1 Year	No	26,007	152	187	0
374,085	Male	21	1	34	0	< 1 Year	Yes	27,755	152	234	0
46,573	Female	33	1	30	1	< 1 Year	No	26,870	152	32	0
20,827	Male	49	1	14	0	> 2 Years	Yes	40,166	26	62	0
91,921	Male	65	1	46	0	1-2 Year	Yes	26,248	26	257	0
213,975	Male	25	1	35	1	< 1 Year	No	36,206	152	131	0
207,201	Male	38	1	29	1	1-2 Year	No	37,633	26	218	0
117,399	Female	24	1	3	0	< 1 Year	Yes	41,762	152	276	1
282,473	Male	20	1	8	1	< 1 Year	No	45,878	160	184	0
307,929	Female	27	1	46	1	< 1 Year	No	24,955	152	104	0
391,374	Female	49	1	50	1	1-2 Year	No	34,542	8	11	0
115,260	Male	37	1	28	0	1-2 Year	Yes	31,862	124	227	0
296,025	Female	22	1	37	0	< 1 Year	Yes	33,968	152	100	0
307,091	Male	23	1	36	0	< 1 Year	Yes	44,645	152	29	0
136,462	Female	24	1	6	0	< 1 Year	Yes	31,205	152	107	0
369,952	Female	21	1	37	0	< 1 Year	No	20,619	160	126	0
250,085	Male	57	1	28	0	1-2 Year	No	44,493	55	254	0
355,051	Female	21	1	50	1	< 1 Year	No	42,118	160	205	0
55,296	Female	30	1	8	0	1-2 Year	Yes	2,630	156	208	1
60,445	Male	46	1	30	0	1-2 Year	Yes	40,038	124	270	0
186,945	Male	44	1	28	0	> 2 Years	Yes	47,313	26	131	0
280,224	Male	44	1	46	1	1-2 Year	No	27,377	124	212	0
304,379	Female	21	1	28	0	< 1 Year	Yes	38,401	124	178	0
123,507	Male	24	1	26	0	< 1 Year	Yes	40,862	152	107	0
321,635	Male	24	1	9	0	< 1 Year	Yes	28,367	152	64	0
88,209	Female	49	1	29	1	1-2 Year	No	28,096	26	194	0
507,818	Female	44	1	28	0	1-2 Year	Yes	48,440	124	133	1
349,365	Male	39	1	50	1	1-2 Year	No	22,726	124	104	0
298,934	Male	27	1	35	1	< 1 Year	No	28,201	152	180	0
394,035	Female	25	1	28	1	< 1 Year	No	2,630	153	133	0
402,219	Male	47	1	46	0	1-2 Year	Yes	43,135	124	269	1
158,072	Male	28	1	29	0	< 1 Year	Yes	38,844	124	70	1
1,357	Male	48	1	3	0	1-2 Year	Yes	37,412	26	180	1
135,608	Male	60	1	28	1	1-2 Year	No	49,932	26	126	0
214,269	Male	28	1	35	1	< 1 Year	No	41,229	152	255	0
444,648	Female	23	1	32	1	< 1 Year	No	22,121	152	33	0
131,169	Female	24	1	15	1	< 1 Year	No	34,255	152	45	0
130,068	Male	22	1	36	1	< 1 Year	No	38,994	152	277	0
178,166	Female	52	1	28	0	1-2 Year	Yes	42,774	124	216	0
351,717	Female	28	1	11	1	< 1 Year	No	33,684	152	169	0
186,946	Female	23	1	30	1	< 1 Year	No	16,822	152	205	0
279,564	Male	41	1	28	0	1-2 Year	Yes	35,770	26	189	0
141,227	Female	25	1	2	0	< 1 Year	Yes	2,630	152	227	0
249,883	Male	41	1	11	0	1-2 Year	Yes	31,341	124	122	0
138,842	Female	21	1	30	0	< 1 Year	Yes	27,003	160	224	0
356,279	Female	21	1	36	0	< 1 Year	No	32,050	160	179	0
293,626	Male	21	1	29	1	< 1 Year	No	22,913	152	87	0
53,568	Male	43	1	28	1	1-2 Year	No	46,639	124	126	0
82,670	Male	43	1	41	0	1-2 Year	Yes	49,830	12	79	1
138,703	Male	45	1	8	0	1-2 Year	Yes	39,626	124	224	0
96,142	Male	24	1	32	0	< 1 Year	Yes	35,215	151	233	1
478,419	Female	26	1	8	1	< 1 Year	No	34,029	152	72	0
192,774	Male	25	1	26	0	< 1 Year	Yes	41,003	152	19	0
472,499	Male	53	1	13	1	1-2 Year	No	29,277	26	121	0
302,345	Female	23	1	8	0	< 1 Year	Yes	32,516	151	49	0
297,006	Female	45	1	28	0	1-2 Year	Yes	63,964	26	32	0
365,510	Male	57	1	41	0	1-2 Year	Yes	28,405	26	106	0
105,426	Male	59	1	28	1	1-2 Year	Yes	2,630	124	171	0
153,245	Male	41	1	28	0	1-2 Year	Yes	37,192	26	172	1
142,360	Female	30	1	41	1	< 1 Year	No	29,881	152	137	0
10,091	Male	24	1	14	1	1-2 Year	Yes	2,630	156	35	0
407,414	Female	29	1	14	0	1-2 Year	Yes	2,630	157	103	1
121,898	Male	40	1	28	0	1-2 Year	Yes	45,680	26	104	0
132,041	Female	43	1	28	0	1-2 Year	Yes	33,425	26	10	0
377,909	Male	47	1	28	0	1-2 Year	Yes	33,932	26	25	0

Subsets and Splits

No community queries yet

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