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
22,253	Female	22	1	6	1	< 1 Year	No	24,345	152	93	0
208,388	Female	77	1	28	0	1-2 Year	Yes	96,941	124	281	0
125,156	Female	23	1	2	1	< 1 Year	No	30,997	152	16	0
443,635	Male	48	1	28	0	1-2 Year	Yes	33,539	26	231	1
114,386	Male	36	1	7	0	1-2 Year	Yes	2,630	154	209	1
163,038	Male	74	1	28	0	1-2 Year	Yes	33,747	26	109	0
328,152	Male	31	1	28	0	< 1 Year	Yes	31,527	152	165	1
438,332	Male	37	1	15	0	1-2 Year	Yes	22,240	124	167	1
366,011	Female	24	1	2	1	< 1 Year	No	30,414	160	169	0
97,672	Male	25	1	11	1	< 1 Year	No	55,537	152	77	0
27,125	Female	23	1	46	1	< 1 Year	No	30,736	152	185	0
287,038	Female	48	1	28	0	> 2 Years	Yes	68,631	124	62	0
213,329	Male	53	1	8	0	1-2 Year	Yes	39,579	26	147	0
77,658	Female	39	1	41	0	1-2 Year	Yes	29,633	124	161	0
318,554	Female	20	1	8	0	< 1 Year	Yes	84,328	160	173	0
4,515	Female	45	1	28	0	1-2 Year	Yes	37,388	26	78	1
258,959	Male	31	1	41	0	1-2 Year	No	45,607	124	134	0
233,755	Male	23	1	1	0	< 1 Year	Yes	2,630	154	127	0
489,332	Male	36	1	11	0	1-2 Year	Yes	26,242	26	221	1
237,929	Female	46	1	18	1	1-2 Year	No	42,727	124	85	0
338,528	Female	23	1	46	1	< 1 Year	No	16,173	152	265	0
242,924	Male	25	1	6	1	< 1 Year	No	23,586	152	252	0
122,812	Male	26	1	28	0	< 1 Year	Yes	2,630	156	180	0
16,799	Male	58	1	8	0	1-2 Year	Yes	25,768	26	296	1
380,243	Male	24	1	46	1	< 1 Year	No	44,209	160	157	0
348,040	Male	44	1	28	0	1-2 Year	Yes	34,339	26	113	1
251,629	Female	49	1	20	0	1-2 Year	Yes	2,630	26	279	0
477,317	Female	51	1	28	0	1-2 Year	Yes	29,831	26	167	1
313,130	Female	24	1	27	0	< 1 Year	Yes	21,501	160	153	0
294,474	Female	74	1	28	0	1-2 Year	Yes	39,775	122	82	0
397,097	Male	54	1	1	1	1-2 Year	No	2,630	113	94	0
142,185	Male	24	1	11	1	< 1 Year	No	33,115	152	131	0
177,681	Male	56	1	22	0	1-2 Year	Yes	2,630	124	32	0
257,055	Male	23	1	8	1	< 1 Year	No	59,168	26	158	0
207,569	Male	45	1	0	0	1-2 Year	No	2,630	122	220	0
297,972	Female	26	1	8	1	< 1 Year	No	26,976	152	132	0
439,196	Male	25	1	28	1	< 1 Year	No	54,510	152	137	0
361,793	Female	46	1	28	0	1-2 Year	Yes	46,914	13	34	1
103,193	Female	25	1	45	1	< 1 Year	No	2,630	152	129	0
352,078	Male	24	1	17	1	< 1 Year	No	2,630	152	266	0
22,815	Female	29	1	28	0	< 1 Year	Yes	2,630	160	251	0
325,495	Male	44	1	41	0	1-2 Year	No	33,760	163	150	0
405,276	Male	38	1	28	0	1-2 Year	Yes	43,512	124	41	1
448,674	Female	32	1	47	1	1-2 Year	No	29,598	16	208	0
213,525	Male	28	1	36	0	< 1 Year	Yes	2,630	160	202	0
196,803	Male	69	1	33	1	1-2 Year	No	31,082	61	149	0
186,915	Female	25	1	40	0	< 1 Year	Yes	25,609	152	103	0
393,722	Female	29	1	28	0	1-2 Year	Yes	26,444	26	75	1
368,538	Male	58	1	28	0	1-2 Year	Yes	46,172	124	172	0
274,734	Male	60	1	7	0	1-2 Year	Yes	2,630	157	214	0
330,639	Male	32	1	28	0	> 2 Years	Yes	52,305	26	135	1
234,438	Female	26	1	28	1	< 1 Year	No	39,079	152	76	0
446,207	Female	24	1	28	1	< 1 Year	No	45,924	152	32	0
321,867	Male	38	1	8	0	1-2 Year	Yes	28,696	124	141	1
59,436	Male	42	1	24	0	1-2 Year	No	26,123	124	159	0
250,138	Female	33	1	28	0	< 1 Year	Yes	57,625	124	183	0
405,173	Male	42	1	50	1	1-2 Year	No	43,791	124	28	0
377,578	Female	79	1	33	1	1-2 Year	No	25,199	124	45	0
196,030	Female	25	1	29	1	< 1 Year	No	22,287	151	186	0
88,843	Male	25	1	28	0	< 1 Year	Yes	33,971	152	166	0
288,936	Male	24	1	29	1	< 1 Year	No	36,843	152	182	0
112,585	Male	38	1	28	0	1-2 Year	Yes	35,779	26	83	0
307,258	Female	30	1	28	1	1-2 Year	No	39,327	26	253	0
52,946	Female	24	1	29	1	< 1 Year	No	32,142	152	51	0
178,281	Female	44	1	8	0	1-2 Year	Yes	27,680	124	258	0
136,518	Female	43	1	28	0	1-2 Year	Yes	42,586	30	211	1
93,595	Female	27	1	15	1	< 1 Year	No	23,431	152	180	0
114,581	Male	54	1	28	1	1-2 Year	No	36,068	55	104	0
407,263	Male	39	1	28	0	1-2 Year	Yes	2,630	124	231	1
255,744	Male	69	1	15	0	1-2 Year	Yes	27,257	26	227	1
119,651	Male	22	1	29	1	< 1 Year	No	32,598	152	215	0
227,648	Female	52	1	28	1	1-2 Year	No	23,042	124	176	0
105,421	Male	60	1	33	0	> 2 Years	Yes	2,630	124	243	0
239,850	Male	39	1	20	0	1-2 Year	Yes	2,630	124	198	0
453,754	Male	33	1	46	0	< 1 Year	Yes	25,246	156	205	1
57,466	Male	37	1	39	1	1-2 Year	No	2,630	124	151	0
277,743	Female	22	1	28	1	< 1 Year	No	25,921	153	91	0
132,548	Male	45	1	28	0	1-2 Year	Yes	31,241	155	210	1
25,206	Female	58	1	28	0	1-2 Year	Yes	33,536	163	90	1
131,119	Male	21	1	22	0	< 1 Year	Yes	27,558	160	27	0
216,459	Female	22	1	15	0	< 1 Year	Yes	42,069	152	79	0
262,164	Female	24	1	46	1	< 1 Year	No	24,346	152	40	0
24,656	Female	31	1	11	1	< 1 Year	No	33,804	152	183	0
367,453	Male	22	1	8	1	< 1 Year	No	67,382	152	95	0
336,183	Female	33	1	0	0	1-2 Year	No	2,630	26	71	0
42,628	Female	75	1	28	1	1-2 Year	No	28,972	122	136	0
171,293	Male	22	1	5	1	< 1 Year	No	30,991	152	257	0
162,238	Male	41	1	46	1	1-2 Year	No	2,630	160	65	0
286,363	Male	64	1	29	0	1-2 Year	Yes	22,654	124	134	0
44,928	Male	23	1	47	0	< 1 Year	Yes	43,707	152	129	0
33,373	Female	48	1	30	1	1-2 Year	No	22,400	152	46	0
221,109	Male	22	1	30	1	< 1 Year	No	28,451	152	116	0
60,223	Female	47	1	14	0	1-2 Year	Yes	35,320	152	100	0
183,743	Female	61	1	46	0	1-2 Year	Yes	29,291	154	284	0
264,257	Male	69	1	28	0	1-2 Year	Yes	32,378	124	25	0
279,958	Male	21	1	38	0	< 1 Year	Yes	26,501	160	27	0
378,509	Female	23	1	35	1	< 1 Year	No	31,452	152	103	0
121,077	Female	21	1	32	0	< 1 Year	Yes	28,372	152	239	0
15,582	Female	46	1	46	0	1-2 Year	Yes	30,195	124	295	1
60,243	Female	24	1	41	1	< 1 Year	No	34,047	152	228	0

Subsets and Splits

No community queries yet

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