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
49,359	Female	37	1	47	1	1-2 Year	No	29,599	124	62	0
223,870	Female	74	1	28	1	1-2 Year	No	38,776	26	246	0
263,368	Female	28	1	28	0	< 1 Year	Yes	2,630	156	184	1
120,381	Male	65	1	28	0	1-2 Year	Yes	56,075	26	10	0
643	Female	23	1	41	1	< 1 Year	No	44,043	152	65	0
485,403	Male	24	1	24	1	< 1 Year	No	22,292	152	88	0
24,660	Female	21	1	46	1	< 1 Year	No	27,152	160	19	0
180,516	Male	24	1	2	1	< 1 Year	No	30,268	152	54	0
389,050	Male	64	1	28	1	1-2 Year	No	42,897	147	206	0
264,321	Female	79	1	28	1	1-2 Year	No	27,548	26	36	0
17,544	Female	39	1	28	0	1-2 Year	Yes	35,436	26	133	1
490,327	Male	73	0	28	1	1-2 Year	No	33,023	124	33	0
298,853	Male	26	1	9	0	< 1 Year	Yes	30,945	26	76	0
277,932	Male	54	1	28	0	1-2 Year	Yes	49,873	13	182	0
35,245	Female	24	1	16	1	< 1 Year	No	22,654	152	48	0
334,807	Female	23	1	23	1	< 1 Year	No	26,343	152	245	0
356,548	Female	53	1	28	0	1-2 Year	Yes	36,646	124	189	1
126,208	Male	75	1	26	1	1-2 Year	No	21,958	120	50	0
175,225	Male	25	1	17	1	< 1 Year	No	39,553	152	109	0
113,663	Female	21	1	27	0	< 1 Year	No	31,719	152	91	0
200,825	Male	36	1	28	1	1-2 Year	Yes	2,630	156	163	0
70,315	Male	21	1	3	1	< 1 Year	No	28,393	152	189	0
178,602	Female	24	1	15	0	< 1 Year	Yes	48,341	26	98	0
440,163	Female	27	1	6	1	< 1 Year	No	29,236	152	186	0
483,423	Male	23	1	26	1	< 1 Year	No	27,946	152	288	0
192,304	Male	54	1	39	1	1-2 Year	No	52,625	26	136	0
272,575	Female	20	1	49	0	< 1 Year	Yes	68,824	160	123	0
301,865	Female	28	1	21	1	< 1 Year	No	27,579	152	215	0
171,326	Female	21	1	28	0	1-2 Year	Yes	28,267	124	213	1
482,371	Female	46	1	28	0	1-2 Year	Yes	49,815	122	166	1
279,067	Female	41	1	28	0	1-2 Year	Yes	43,217	124	284	0
2,753	Male	22	1	15	1	< 1 Year	No	34,613	152	291	0
399,751	Male	55	1	39	0	> 2 Years	Yes	21,932	26	234	1
156,055	Male	49	1	0	0	1-2 Year	Yes	2,630	13	263	0
185,005	Female	48	1	28	0	1-2 Year	Yes	61,708	122	25	0
420,242	Female	20	1	25	1	< 1 Year	No	23,870	160	113	0
315,091	Male	25	1	28	0	< 1 Year	Yes	42,275	163	148	0
62,806	Female	23	1	10	1	< 1 Year	No	26,253	152	49	0
479,844	Male	43	1	8	0	1-2 Year	Yes	30,297	124	111	1
315,761	Male	23	1	32	0	< 1 Year	Yes	12,990	152	149	0
444,218	Male	46	1	28	0	1-2 Year	Yes	43,389	124	232	1
363,686	Male	51	1	28	1	1-2 Year	No	40,950	124	229	0
320,002	Male	23	1	28	1	< 1 Year	No	27,950	152	276	0
242,175	Female	41	1	37	0	1-2 Year	Yes	31,839	124	24	0
355,049	Male	23	1	16	0	< 1 Year	Yes	2,630	152	189	0
206,990	Female	26	1	15	0	< 1 Year	No	33,351	152	143	0
333,958	Female	73	1	24	0	1-2 Year	Yes	45,034	124	48	0
419,079	Male	46	1	28	1	1-2 Year	No	27,989	26	78	0
272,506	Male	54	1	8	0	1-2 Year	No	55,595	124	231	0
374,784	Female	24	1	8	1	< 1 Year	No	55,319	152	119	0
359,487	Male	26	1	16	1	< 1 Year	No	21,627	152	277	0
21,194	Female	26	1	31	1	< 1 Year	No	2,630	152	50	0
475,765	Female	25	1	10	1	< 1 Year	No	31,067	152	154	0
411,930	Female	67	1	28	1	1-2 Year	No	49,733	13	274	0
348,477	Male	24	1	47	1	< 1 Year	No	21,397	152	182	0
174,977	Male	80	1	28	0	1-2 Year	Yes	40,306	26	155	0
467,731	Male	26	1	28	1	< 1 Year	No	39,624	152	204	0
291,351	Male	29	1	33	1	< 1 Year	No	30,120	152	133	0
170	Female	28	1	8	1	< 1 Year	No	31,454	152	86	0
220,689	Male	57	0	28	0	1-2 Year	Yes	43,749	124	169	0
367,310	Male	48	1	28	1	1-2 Year	No	35,634	124	57	0
206,021	Male	68	1	47	0	> 2 Years	Yes	49,069	124	46	0
221,662	Male	35	1	8	1	1-2 Year	No	27,197	26	139	0
192,320	Female	33	1	2	0	< 1 Year	Yes	34,477	124	160	1
659	Male	24	1	36	1	< 1 Year	No	36,975	152	88	0
339,706	Male	35	1	8	0	1-2 Year	Yes	28,545	124	166	0
383,030	Female	22	1	28	1	< 1 Year	No	31,460	152	176	0
180,974	Female	43	1	28	0	1-2 Year	Yes	37,513	124	202	0
218,459	Male	47	1	28	0	1-2 Year	Yes	63,970	26	233	1
151,873	Female	23	1	14	0	< 1 Year	Yes	2,630	152	99	0
421,455	Female	28	1	36	1	< 1 Year	No	35,233	152	199	0
84,930	Female	37	1	28	1	1-2 Year	No	31,521	26	191	0
450,607	Female	30	1	28	1	< 1 Year	No	39,650	152	172	0
241,611	Male	63	1	33	1	1-2 Year	No	39,822	124	254	0
58,421	Female	23	1	3	1	< 1 Year	No	41,352	152	108	0
194,542	Female	24	1	36	0	< 1 Year	Yes	30,475	160	125	0
220,803	Male	24	1	13	1	< 1 Year	No	25,814	152	124	0
475,061	Female	32	1	46	0	< 1 Year	Yes	31,090	26	137	1
65,833	Male	43	1	8	0	1-2 Year	Yes	46,788	124	230	1
383,414	Female	21	1	28	1	< 1 Year	No	36,970	160	144	0
397,709	Male	40	1	28	0	1-2 Year	Yes	42,722	26	291	1
52,437	Female	28	1	37	1	< 1 Year	No	2,630	160	263	0
36,805	Female	23	1	6	1	< 1 Year	No	21,551	152	281	0
387,003	Male	24	1	41	1	< 1 Year	No	36,927	152	78	0
323,459	Female	35	1	28	1	1-2 Year	No	45,110	26	266	0
464,799	Male	44	1	8	1	1-2 Year	No	40,246	124	108	0
493,567	Male	28	1	33	1	< 1 Year	No	31,913	152	43	0
201,491	Male	20	1	8	1	< 1 Year	No	29,732	160	45	0
77,633	Female	70	1	50	0	1-2 Year	Yes	21,687	26	111	0
104,602	Male	39	1	28	0	1-2 Year	Yes	39,314	26	247	0
63,111	Female	53	1	29	0	1-2 Year	Yes	2,630	156	123	0
429,508	Female	31	1	28	0	< 1 Year	Yes	56,706	124	203	1
373,460	Female	21	1	8	0	1-2 Year	Yes	48,327	157	114	0
360,522	Male	40	1	12	1	1-2 Year	Yes	30,748	124	207	0
454,466	Female	43	1	28	0	1-2 Year	Yes	31,995	124	241	1
347,425	Male	40	1	15	0	1-2 Year	Yes	2,630	152	113	0
258,210	Female	20	1	25	1	< 1 Year	Yes	2,630	160	20	0
198,716	Male	39	1	28	0	1-2 Year	Yes	43,114	124	181	1
313,022	Male	45	1	28	0	1-2 Year	Yes	2,630	124	161	0
258,510	Male	38	1	48	1	1-2 Year	No	2,630	124	260	0

Subsets and Splits

No community queries yet

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