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
51,548	Female	42	1	13	0	1-2 Year	Yes	26,747	124	74	0
467,558	Male	24	1	28	1	< 1 Year	No	58,305	152	253	0
348,920	Male	36	1	8	1	1-2 Year	No	34,684	124	298	0
162,049	Female	23	1	15	0	< 1 Year	No	37,766	26	112	0
104,434	Male	23	1	15	1	< 1 Year	No	27,078	151	29	0
169,456	Female	23	1	46	1	< 1 Year	No	25,624	26	23	0
507,365	Male	73	1	28	1	1-2 Year	No	58,792	124	165	0
9,861	Male	43	1	29	0	1-2 Year	Yes	36,887	26	258	1
93,368	Male	22	1	33	0	< 1 Year	Yes	2,630	152	271	0
64,641	Female	22	1	6	1	< 1 Year	No	29,456	152	51	0
381,049	Male	22	1	36	1	< 1 Year	No	36,720	152	26	0
33,854	Female	72	1	28	0	1-2 Year	Yes	38,304	26	81	0
130,716	Female	25	1	8	0	< 1 Year	No	2,630	152	270	0
318,343	Male	28	1	37	1	< 1 Year	No	23,562	152	129	0
163,407	Female	26	1	46	0	< 1 Year	Yes	28,123	154	52	0
323,531	Male	42	1	1	1	1-2 Year	No	2,630	124	234	0
258,886	Female	34	1	28	0	1-2 Year	Yes	33,191	152	48	0
38,436	Male	50	1	0	1	1-2 Year	No	2,630	26	39	0
216,948	Female	24	1	15	0	< 1 Year	No	28,174	152	26	0
432,453	Male	56	1	28	0	> 2 Years	Yes	2,630	26	199	1
368,981	Female	80	1	28	0	1-2 Year	Yes	45,368	26	245	0
483,550	Female	29	1	14	1	< 1 Year	No	2,630	124	239	0
31,244	Female	62	1	7	0	1-2 Year	Yes	2,630	154	248	0
278,632	Female	42	1	39	0	1-2 Year	Yes	26,749	157	33	1
25,186	Male	69	1	28	1	1-2 Year	No	50,586	26	266	0
240,108	Female	47	1	18	0	1-2 Year	Yes	32,993	124	99	0
282,483	Female	32	1	28	0	< 1 Year	Yes	63,765	26	197	1
21,429	Male	25	1	50	0	< 1 Year	Yes	42,578	152	91	0
116,316	Male	43	1	28	0	1-2 Year	Yes	45,696	147	138	0
506,857	Female	49	1	28	0	> 2 Years	Yes	58,808	26	88	1
315,360	Male	30	1	39	0	1-2 Year	Yes	2,630	157	57	0
429,673	Female	48	1	28	1	1-2 Year	No	2,630	124	51	0
59,520	Female	28	1	29	1	< 1 Year	No	45,095	152	74	0
2,921	Male	25	1	30	1	< 1 Year	No	44,025	152	275	0
119,837	Female	26	1	41	1	< 1 Year	No	66,329	152	108	0
422,368	Female	28	1	41	1	< 1 Year	No	36,695	152	70	0
115,251	Female	23	1	40	0	< 1 Year	Yes	24,863	151	120	0
28,657	Male	44	1	46	0	1-2 Year	Yes	44,595	124	128	0
132,592	Female	24	1	15	0	< 1 Year	Yes	38,115	152	129	0
85,498	Female	27	1	50	1	< 1 Year	No	30,538	152	218	0
248,041	Female	24	1	8	1	< 1 Year	No	37,612	152	30	0
163,257	Male	25	1	9	1	< 1 Year	No	28,510	152	252	0
146,170	Male	59	1	29	0	1-2 Year	Yes	2,630	157	118	0
349,407	Female	23	1	3	1	< 1 Year	No	22,229	152	256	0
323,208	Female	30	1	28	0	< 1 Year	Yes	2,630	124	231	0
460,834	Female	48	1	28	0	1-2 Year	Yes	39,079	26	280	1
202,363	Male	35	1	29	0	1-2 Year	Yes	41,020	152	265	0
255,184	Female	39	1	45	0	1-2 Year	Yes	26,545	124	239	0
240,825	Male	48	1	28	0	1-2 Year	Yes	2,630	156	127	0
194,261	Female	28	1	18	1	< 1 Year	No	30,144	152	191	0
65,592	Male	25	1	41	1	< 1 Year	No	22,557	152	167	0
345,795	Female	21	1	15	0	< 1 Year	Yes	37,862	160	10	0
322,801	Female	23	1	11	1	< 1 Year	No	44,690	152	38	0
152,008	Female	22	1	30	1	< 1 Year	No	30,407	152	205	0
502,952	Male	34	1	36	0	1-2 Year	Yes	2,630	156	176	1
262,462	Female	23	1	32	1	< 1 Year	Yes	31,138	152	224	0
344,967	Female	24	1	30	1	< 1 Year	No	23,078	160	243	0
305,211	Male	47	1	8	1	1-2 Year	No	66,504	7	16	0
195,329	Male	50	1	28	1	1-2 Year	No	36,163	26	276	0
123,838	Male	43	1	2	0	1-2 Year	Yes	27,614	124	107	1
5,162	Male	46	1	6	0	1-2 Year	Yes	23,753	163	133	1
443,802	Male	23	1	8	1	< 1 Year	No	39,893	152	164	0
298,582	Male	24	1	8	0	< 1 Year	Yes	40,351	152	267	0
477,153	Female	47	1	46	1	1-2 Year	No	2,630	124	262	0
468,585	Female	22	1	46	1	< 1 Year	No	22,694	152	169	0
286,893	Male	46	1	28	0	1-2 Year	Yes	47,521	26	141	1
128,215	Female	24	1	15	1	< 1 Year	No	25,340	152	45	0
70,302	Female	23	1	32	1	< 1 Year	No	26,762	152	84	0
439,415	Female	32	1	28	0	< 1 Year	Yes	32,523	154	251	1
406,008	Female	22	1	28	1	< 1 Year	No	58,985	152	293	0
450,297	Female	24	1	38	1	< 1 Year	No	35,459	152	41	0
61,074	Male	37	1	23	0	1-2 Year	Yes	2,630	156	91	0
211,084	Male	24	1	28	1	< 1 Year	No	51,094	152	217	0
38,597	Male	45	1	7	0	1-2 Year	No	45,056	124	62	0
6,254	Female	71	1	28	0	1-2 Year	No	58,270	122	190	0
61,163	Female	62	1	18	1	1-2 Year	No	27,338	131	221	0
358,919	Female	39	1	3	0	1-2 Year	Yes	28,944	155	124	0
52,721	Female	40	1	8	0	1-2 Year	Yes	46,314	7	117	0
445,809	Male	24	1	28	1	< 1 Year	No	47,363	152	35	0
158,675	Male	30	1	36	1	< 1 Year	No	31,182	151	216	0
286,891	Female	26	1	11	1	< 1 Year	No	22,011	152	103	0
231,675	Female	21	1	8	1	< 1 Year	No	47,516	160	76	0
95,795	Male	49	1	0	1	1-2 Year	No	2,630	26	279	0
174,368	Female	27	1	8	0	< 1 Year	Yes	31,861	152	179	1
31,768	Male	56	1	28	0	1-2 Year	Yes	33,377	55	286	0
131,807	Female	80	1	28	0	1-2 Year	Yes	28,649	26	141	0
328,280	Male	25	1	28	0	< 1 Year	Yes	41,222	152	225	1
210,125	Female	24	1	29	1	< 1 Year	No	29,621	152	227	0
113,994	Male	23	1	46	1	< 1 Year	No	22,827	160	212	0
83,846	Male	58	1	28	0	1-2 Year	Yes	40,126	26	229	0
162,140	Male	63	1	28	1	1-2 Year	No	32,598	26	168	0
376,483	Female	23	1	27	0	< 1 Year	Yes	28,310	160	174	0
255,233	Female	56	1	28	0	1-2 Year	Yes	42,344	124	174	1
181,865	Male	35	1	28	0	1-2 Year	Yes	38,089	124	177	0
29,118	Female	29	1	7	1	< 1 Year	No	34,291	152	254	0
283,057	Male	36	1	28	0	1-2 Year	Yes	35,954	124	16	0
31,146	Male	23	1	29	1	< 1 Year	No	30,208	152	240	0
296,384	Female	79	1	40	0	> 2 Years	Yes	36,662	26	141	0
64,604	Female	28	1	28	0	< 1 Year	Yes	67,408	26	220	0
329,645	Male	39	1	28	0	1-2 Year	Yes	34,652	26	156	0

Subsets and Splits

No community queries yet

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