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
334,617	Female	49	1	33	1	1-2 Year	No	33,600	26	155	0
373,131	Female	53	1	9	0	1-2 Year	Yes	37,754	124	290	0
53,791	Male	61	1	14	0	1-2 Year	Yes	29,219	26	20	0
250,542	Female	24	1	8	1	< 1 Year	No	27,545	152	19	0
2,444	Male	24	1	14	1	< 1 Year	No	35,658	152	105	0
277,641	Female	25	1	14	0	< 1 Year	Yes	20,833	152	30	0
367,635	Female	65	1	28	0	> 2 Years	Yes	30,697	122	286	1
315,722	Female	24	1	28	0	< 1 Year	Yes	60,279	152	238	0
378,525	Female	43	1	41	0	1-2 Year	Yes	40,158	124	143	1
288,954	Female	22	1	12	0	< 1 Year	Yes	26,678	152	268	0
411,935	Female	28	1	11	1	< 1 Year	No	35,199	152	159	0
235,419	Male	26	1	2	0	1-2 Year	Yes	2,630	156	45	1
292,717	Female	35	1	9	0	1-2 Year	Yes	2,630	26	211	0
287,793	Male	56	1	29	0	1-2 Year	Yes	2,630	163	74	0
232,750	Female	48	1	41	1	1-2 Year	Yes	32,469	26	121	0
505,102	Male	20	1	50	1	< 1 Year	No	35,694	160	83	0
347,872	Female	65	1	28	1	1-2 Year	No	40,030	122	257	0
123,891	Male	40	1	40	1	1-2 Year	No	2,630	26	24	0
276,002	Male	60	1	38	0	1-2 Year	Yes	29,205	163	188	1
159,698	Male	55	1	28	1	1-2 Year	No	40,717	124	22	0
452,036	Male	66	1	47	1	1-2 Year	No	37,611	26	209	0
392,100	Female	28	1	28	1	< 1 Year	No	36,293	152	172	0
3,701	Male	26	1	9	1	< 1 Year	No	39,126	152	88	0
325,909	Female	39	1	28	1	1-2 Year	No	2,630	152	229	0
113,292	Male	59	1	43	0	1-2 Year	Yes	34,888	124	222	0
429,261	Male	39	1	46	0	1-2 Year	Yes	30,880	124	204	1
38,601	Male	58	1	28	1	1-2 Year	No	23,257	26	217	0
185,171	Male	41	1	33	0	1-2 Year	Yes	25,962	124	104	1
155,822	Male	50	1	28	0	1-2 Year	Yes	37,776	26	181	0
270,112	Male	23	1	28	1	< 1 Year	No	52,305	151	218	0
448,666	Female	46	1	28	0	1-2 Year	Yes	41,642	124	177	1
324,041	Male	42	1	28	0	1-2 Year	Yes	38,548	124	49	0
188,835	Male	40	1	28	1	1-2 Year	No	28,563	8	267	0
27,231	Female	65	1	28	1	1-2 Year	No	32,028	124	149	0
187,605	Female	25	1	50	0	< 1 Year	Yes	38,094	152	265	0
155,476	Female	56	1	46	1	1-2 Year	No	2,630	26	66	0
320,863	Male	24	1	2	1	< 1 Year	No	26,215	152	241	0
373,309	Male	50	1	46	0	1-2 Year	Yes	2,630	26	219	1
105,147	Male	49	1	28	0	1-2 Year	Yes	43,232	26	276	0
363,401	Male	54	1	3	0	1-2 Year	Yes	27,095	26	166	0
88,959	Male	52	1	48	0	1-2 Year	Yes	2,630	124	278	0
110,853	Male	34	1	4	0	< 1 Year	No	30,112	26	52	0
328,945	Male	44	1	8	1	1-2 Year	No	32,925	124	187	0
356,443	Female	23	1	11	1	< 1 Year	No	26,978	152	160	0
34,816	Male	26	1	41	1	< 1 Year	No	59,631	152	289	0
72,857	Male	68	1	26	0	1-2 Year	Yes	34,658	22	247	1
232,048	Female	20	1	10	0	< 1 Year	Yes	29,946	160	262	0
68,838	Male	50	1	46	0	1-2 Year	Yes	21,184	124	81	0
134,179	Female	51	1	8	0	1-2 Year	Yes	48,438	26	152	0
40,531	Female	21	1	46	1	< 1 Year	Yes	30,472	152	22	0
40,139	Male	45	1	41	0	1-2 Year	Yes	32,015	26	194	0
316,872	Male	55	1	8	0	1-2 Year	Yes	27,202	26	116	0
153,326	Male	23	1	45	1	< 1 Year	No	36,233	152	53	0
155,940	Male	23	1	41	1	< 1 Year	No	24,254	152	31	0
229,543	Female	43	1	8	0	1-2 Year	Yes	34,031	124	74	1
181,218	Female	70	1	48	0	1-2 Year	No	2,630	26	194	0
100,123	Male	63	1	28	0	1-2 Year	Yes	43,938	26	171	1
142,505	Female	22	1	45	1	< 1 Year	No	33,152	152	141	0
171,872	Male	38	1	28	0	1-2 Year	Yes	29,503	22	28	0
36,667	Male	37	1	8	0	1-2 Year	Yes	2,630	156	181	0
139,243	Male	53	1	14	1	1-2 Year	No	30,268	26	238	0
373,339	Male	51	1	28	1	1-2 Year	No	46,904	26	215	0
430,688	Male	55	1	33	1	1-2 Year	No	34,078	26	32	0
410,719	Male	25	1	28	1	< 1 Year	No	77,755	152	251	0
263,393	Male	52	1	36	0	1-2 Year	Yes	29,964	124	287	0
253,662	Female	67	1	40	1	1-2 Year	Yes	2,630	156	19	0
322,992	Female	46	1	28	1	1-2 Year	No	35,262	124	291	0
150,275	Female	27	1	34	1	< 1 Year	No	30,199	152	65	0
2,907	Male	40	1	35	0	1-2 Year	Yes	32,069	10	50	0
62,289	Female	28	1	47	1	< 1 Year	No	31,068	152	281	0
307,473	Female	28	1	41	1	< 1 Year	No	33,309	152	42	0
348,423	Female	66	1	11	0	1-2 Year	Yes	33,263	26	181	0
211,781	Female	45	1	15	0	1-2 Year	No	27,300	124	270	1
117,359	Female	26	1	50	1	< 1 Year	No	25,914	152	134	0
66,898	Male	61	1	48	0	1-2 Year	Yes	2,630	26	185	0
231,901	Female	25	1	11	1	< 1 Year	No	42,576	152	286	0
296,590	Male	32	1	31	0	1-2 Year	Yes	2,630	157	278	0
63,437	Male	22	1	33	1	< 1 Year	No	34,637	152	239	0
55,984	Male	38	1	28	0	1-2 Year	Yes	33,371	124	70	0
154,661	Female	23	1	28	1	< 1 Year	No	38,176	152	208	0
69,885	Female	49	1	46	0	1-2 Year	Yes	2,630	163	57	1
28,107	Female	65	1	28	0	1-2 Year	Yes	46,792	55	259	0
24,038	Female	22	1	8	1	< 1 Year	No	2,630	160	299	0
297,475	Male	61	1	28	1	1-2 Year	No	33,850	26	86	0
336,104	Female	22	1	14	1	< 1 Year	No	18,333	152	236	0
123,608	Male	43	1	8	1	1-2 Year	No	38,787	124	288	0
171,961	Female	24	1	30	1	< 1 Year	No	32,938	152	30	0
335,519	Female	71	1	28	1	1-2 Year	No	39,107	122	186	0
107,557	Female	37	1	28	0	1-2 Year	Yes	35,176	13	146	1
35,728	Female	65	1	28	1	1-2 Year	No	39,954	26	63	0
197,776	Male	51	1	19	0	1-2 Year	Yes	31,817	122	85	0
375,132	Female	27	1	37	1	< 1 Year	No	27,449	152	15	0
285,021	Female	67	1	18	0	1-2 Year	Yes	27,850	131	116	0
278,993	Male	47	1	8	0	1-2 Year	Yes	49,238	26	193	0
311,917	Female	24	1	37	0	< 1 Year	Yes	22,181	152	109	0
132,730	Male	47	1	24	0	1-2 Year	No	20,194	26	257	0
262,876	Male	58	1	28	0	> 2 Years	Yes	38,919	26	190	1
146,380	Male	24	1	9	0	< 1 Year	Yes	42,068	152	134	0
288,299	Female	48	1	10	0	1-2 Year	Yes	29,428	26	29	1
5,054	Male	49	1	41	1	1-2 Year	No	23,599	26	173	0

Subsets and Splits

No community queries yet

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