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
487,672	Male	48	1	36	1	1-2 Year	No	2,630	26	77	0
438,175	Male	26	1	41	1	< 1 Year	No	33,239	152	34	0
68,360	Female	46	1	44	0	1-2 Year	Yes	27,091	26	297	0
341,088	Male	50	1	8	0	1-2 Year	Yes	32,387	7	278	0
424,780	Male	43	1	28	0	1-2 Year	Yes	24,024	154	259	1
279,247	Female	23	1	11	0	< 1 Year	No	25,799	152	52	0
311,688	Female	23	1	41	1	< 1 Year	No	43,046	155	126	0
66,847	Male	40	1	28	0	1-2 Year	No	25,354	124	42	0
198,054	Female	23	1	28	0	< 1 Year	Yes	52,177	152	80	0
144,720	Male	49	1	11	1	1-2 Year	No	31,366	154	284	0
207,125	Female	29	1	41	1	< 1 Year	No	30,933	152	263	0
182,392	Male	57	1	30	1	1-2 Year	No	23,588	152	104	0
220,445	Female	24	1	45	1	< 1 Year	No	25,637	152	140	0
393,368	Male	25	1	28	1	< 1 Year	No	33,932	152	147	0
401,712	Male	45	1	28	0	1-2 Year	Yes	28,205	26	104	1
338,817	Male	75	1	50	0	> 2 Years	Yes	2,630	157	255	0
88,168	Female	27	1	11	1	< 1 Year	No	26,828	152	291	0
226,926	Female	54	1	8	0	1-2 Year	No	30,929	26	147	0
31,893	Female	25	1	29	1	< 1 Year	No	52,426	152	229	0
361,313	Male	25	1	47	0	< 1 Year	No	26,578	152	85	0
187,931	Female	65	1	46	0	1-2 Year	Yes	34,880	156	248	0
408,833	Female	27	1	10	1	< 1 Year	No	32,400	152	77	0
285,879	Female	22	1	46	0	< 1 Year	Yes	25,353	152	205	0
1,251	Female	45	1	6	1	1-2 Year	No	31,331	26	189	0
221,787	Female	22	1	29	1	< 1 Year	No	30,469	152	21	0
493,962	Male	37	1	28	0	1-2 Year	Yes	40,595	55	197	1
189,331	Male	40	1	9	1	1-2 Year	No	2,630	26	234	0
115,999	Female	25	1	2	0	< 1 Year	Yes	2,630	152	195	0
318,763	Female	34	1	8	0	1-2 Year	Yes	51,978	26	61	0
378,702	Male	23	1	11	0	< 1 Year	Yes	2,630	152	281	0
279,457	Female	55	1	41	1	1-2 Year	Yes	37,205	3	62	0
84,636	Female	20	1	17	1	< 1 Year	No	39,524	160	46	0
243,542	Male	58	1	28	0	1-2 Year	Yes	53,631	26	78	0
111,303	Male	23	1	50	1	< 1 Year	No	35,532	152	230	0
25,171	Male	40	1	28	0	1-2 Year	Yes	42,749	124	245	0
154,397	Female	36	1	7	1	1-2 Year	No	33,347	154	89	0
347,663	Male	62	1	8	1	1-2 Year	No	23,239	124	29	0
453,387	Female	47	1	28	0	> 2 Years	Yes	55,698	26	21	1
354,139	Female	25	1	33	1	< 1 Year	No	35,980	152	23	0
225,483	Male	23	1	12	1	< 1 Year	No	27,731	152	80	0
355,224	Female	23	1	47	1	< 1 Year	No	36,921	152	146	0
435,222	Female	30	1	8	0	1-2 Year	Yes	55,904	124	13	1
107,459	Female	27	1	29	1	< 1 Year	No	21,445	152	77	0
258,180	Male	26	1	29	0	< 1 Year	Yes	2,630	152	186	0
432,337	Male	26	1	11	1	< 1 Year	No	26,747	152	66	0
363,877	Male	35	1	15	1	1-2 Year	No	29,666	152	65	0
98,866	Male	77	1	3	1	1-2 Year	No	33,685	26	291	0
21,714	Male	74	1	28	1	1-2 Year	No	39,780	26	257	0
186,722	Male	56	1	46	0	> 2 Years	Yes	35,487	26	63	0
78,908	Male	23	1	6	1	< 1 Year	No	18,842	152	277	0
119,000	Male	41	1	29	0	1-2 Year	No	33,228	124	245	0
316,265	Male	58	1	28	0	> 2 Years	Yes	43,474	124	131	0
231,897	Female	65	1	36	0	1-2 Year	Yes	34,059	156	190	1
107,193	Male	47	1	3	0	1-2 Year	Yes	39,453	124	96	0
21,259	Female	21	1	13	0	< 1 Year	Yes	34,754	124	95	1
88,108	Male	21	1	8	1	< 1 Year	No	45,031	160	236	0
49,835	Female	55	1	8	1	1-2 Year	No	56,130	26	102	0
50,098	Female	71	1	28	0	1-2 Year	Yes	28,951	124	226	0
186,874	Female	39	1	41	0	1-2 Year	Yes	49,341	124	280	0
369,371	Female	25	1	15	0	< 1 Year	Yes	44,414	152	222	0
387,428	Male	43	1	28	0	1-2 Year	Yes	41,204	25	245	1
56,433	Male	64	1	28	0	> 2 Years	Yes	24,741	122	89	0
272,663	Female	35	1	28	0	1-2 Year	Yes	67,706	26	93	0
179,010	Female	24	1	8	0	< 1 Year	No	43,216	151	241	0
269,033	Male	35	1	41	0	1-2 Year	Yes	2,630	154	236	0
407,604	Male	53	1	41	0	1-2 Year	Yes	35,757	154	258	1
314,653	Male	39	1	30	0	1-2 Year	Yes	28,853	26	151	0
100,375	Male	72	1	29	0	1-2 Year	Yes	44,705	135	192	0
417,742	Female	30	1	28	0	< 1 Year	Yes	2,630	124	213	1
48,328	Male	27	1	34	1	< 1 Year	No	31,998	152	253	0
460,561	Female	27	1	28	1	< 1 Year	No	38,129	152	113	0
319,199	Male	31	1	36	0	< 1 Year	Yes	35,907	152	39	0
84,666	Male	75	1	0	0	1-2 Year	Yes	2,630	122	193	0
67,705	Female	39	1	40	0	1-2 Year	Yes	2,630	26	54	0
356,898	Male	58	1	17	0	1-2 Year	Yes	28,358	124	149	1
275,733	Male	21	1	8	0	< 1 Year	No	36,753	160	284	0
146,581	Female	20	1	8	0	< 1 Year	Yes	32,338	160	99	0
48,726	Female	26	1	8	0	< 1 Year	Yes	28,091	152	86	0
245,553	Female	20	1	29	0	< 1 Year	Yes	2,630	160	148	0
469,466	Female	26	1	26	1	< 1 Year	No	28,630	152	18	0
68,036	Male	21	1	35	1	< 1 Year	No	31,308	152	147	0
271,275	Female	22	1	33	1	< 1 Year	No	36,730	152	177	0
415,331	Female	22	1	6	1	< 1 Year	No	16,840	152	48	0
141,558	Female	26	1	11	1	< 1 Year	No	32,455	152	59	0
265,525	Female	21	1	28	0	< 1 Year	Yes	40,159	154	109	0
44,852	Male	80	1	28	0	1-2 Year	No	50,406	26	259	0
208,172	Female	27	1	14	1	< 1 Year	No	23,502	152	283	0
351,313	Male	72	1	8	1	1-2 Year	No	42,299	7	168	0
56,586	Female	21	1	28	0	< 1 Year	No	60,777	152	254	0
421,171	Female	82	1	8	1	1-2 Year	No	2,630	26	175	0
166,541	Female	29	1	37	0	< 1 Year	No	33,957	152	190	0
190,524	Male	23	1	10	0	< 1 Year	Yes	35,926	152	289	0
192,343	Male	38	1	38	0	1-2 Year	Yes	29,235	124	192	0
358,439	Male	53	1	28	0	1-2 Year	Yes	45,122	29	127	1
461,611	Female	36	1	28	1	1-2 Year	No	27,485	152	63	0
262,859	Male	45	1	29	1	1-2 Year	No	29,120	26	12	0
72,865	Female	25	1	6	0	< 1 Year	Yes	31,513	152	49	0
174,465	Female	25	1	28	0	< 1 Year	Yes	57,233	152	109	1
53,554	Male	53	1	39	0	1-2 Year	Yes	38,467	124	53	1
110,693	Male	53	1	7	0	1-2 Year	Yes	44,360	124	15	0

Subsets and Splits

No community queries yet

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