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
460,724	Female	26	1	6	1	< 1 Year	No	26,659	152	145	0
132,932	Female	22	1	30	1	1-2 Year	Yes	24,066	154	246	0
211,143	Female	66	1	28	0	> 2 Years	Yes	38,027	26	220	1
290,382	Male	26	1	6	1	< 1 Year	No	31,805	152	76	0
130,856	Male	46	1	1	0	1-2 Year	Yes	2,630	124	126	0
380,196	Male	55	1	0	0	1-2 Year	Yes	2,630	13	156	0
132,802	Female	67	1	28	0	1-2 Year	Yes	53,950	26	72	0
395,072	Male	30	1	45	0	< 1 Year	Yes	37,387	26	128	1
426,606	Female	28	1	30	1	< 1 Year	No	23,870	152	76	0
191,336	Male	64	1	39	0	1-2 Year	No	63,825	26	166	0
454,073	Male	40	1	11	0	1-2 Year	Yes	24,599	26	111	1
147,903	Female	63	1	28	0	1-2 Year	Yes	31,251	26	134	0
198,712	Female	27	1	3	1	< 1 Year	No	22,378	152	34	0
478,283	Male	62	1	28	1	1-2 Year	No	59,702	26	51	0
329,863	Female	58	1	15	1	1-2 Year	No	40,631	153	159	0
101,599	Female	79	1	28	0	1-2 Year	Yes	33,281	26	263	0
145,895	Male	32	1	34	0	< 1 Year	No	32,116	152	288	0
189,825	Male	25	1	11	1	< 1 Year	No	25,955	152	78	0
419,428	Female	58	1	33	1	1-2 Year	No	27,619	152	154	0
124,948	Male	43	1	28	0	1-2 Year	Yes	31,178	20	297	1
409,811	Male	48	1	8	1	1-2 Year	No	26,264	26	12	0
482,223	Male	79	1	28	1	1-2 Year	No	59,483	124	255	0
229,921	Male	28	1	36	1	< 1 Year	No	34,405	152	296	0
367,994	Male	36	1	18	1	1-2 Year	No	23,199	152	164	0
280,965	Male	46	1	15	0	1-2 Year	Yes	40,134	26	16	0
325,687	Female	62	1	10	1	1-2 Year	No	2,630	124	79	0
268,957	Male	46	1	28	0	1-2 Year	Yes	46,389	124	263	0
8,394	Male	41	1	28	0	1-2 Year	Yes	46,500	44	197	0
319,171	Male	44	1	6	0	1-2 Year	Yes	37,624	124	37	0
295,204	Male	50	1	30	1	1-2 Year	No	2,630	124	188	0
343,718	Female	23	1	41	0	< 1 Year	Yes	34,289	124	109	0
179,092	Female	23	1	36	0	< 1 Year	Yes	54,964	151	51	0
88,660	Female	42	1	28	0	1-2 Year	Yes	36,038	26	212	1
65,798	Male	22	1	47	1	< 1 Year	No	52,868	152	179	0
388,315	Female	26	1	41	0	< 1 Year	Yes	2,630	156	80	1
398,089	Male	38	1	28	0	1-2 Year	Yes	36,900	124	224	1
356,787	Male	22	1	4	1	< 1 Year	No	25,563	152	78	0
337,373	Male	38	1	28	0	1-2 Year	Yes	27,585	4	230	0
151,223	Female	25	1	30	1	< 1 Year	No	27,864	152	211	0
252,455	Female	23	1	47	1	< 1 Year	No	38,883	152	45	0
9,971	Male	20	1	26	0	< 1 Year	Yes	26,292	160	269	0
144,938	Female	36	1	28	1	1-2 Year	No	28,643	124	154	0
280,203	Male	59	1	3	1	1-2 Year	No	34,691	26	15	0
263,985	Female	45	1	15	0	1-2 Year	Yes	39,550	14	35	0
43,430	Male	23	1	24	1	< 1 Year	No	37,840	152	247	0
112,944	Male	31	1	6	0	< 1 Year	Yes	27,425	153	120	0
19,797	Male	73	1	48	0	1-2 Year	No	2,630	26	222	0
159,971	Male	41	1	6	1	1-2 Year	No	42,344	26	116	0
71,598	Female	23	1	15	1	< 1 Year	No	2,630	152	58	0
256,134	Female	66	1	28	0	1-2 Year	Yes	33,340	26	209	0
297,947	Female	22	1	46	0	< 1 Year	Yes	34,468	152	111	0
86,298	Female	24	1	8	0	< 1 Year	Yes	32,781	152	292	0
83,570	Female	39	1	29	1	1-2 Year	No	2,630	122	64	0
22,871	Female	41	1	8	1	1-2 Year	No	2,630	124	144	0
495,848	Female	22	1	6	1	< 1 Year	No	27,213	152	124	0
296,899	Male	51	1	21	0	1-2 Year	Yes	30,628	26	272	1
485,457	Male	49	1	46	1	1-2 Year	No	27,054	124	295	0
101,165	Female	22	1	17	1	< 1 Year	No	28,515	152	227	0
86,077	Male	23	1	8	1	< 1 Year	No	66,951	151	190	0
503,766	Male	52	1	41	0	1-2 Year	Yes	31,011	124	97	1
402,337	Male	40	1	28	0	1-2 Year	Yes	32,104	26	185	1
178,707	Female	25	1	30	1	< 1 Year	No	26,047	152	94	0
322,259	Male	41	1	28	0	1-2 Year	Yes	26,902	124	281	0
213,663	Male	61	1	46	0	1-2 Year	Yes	2,630	124	255	0
340,986	Female	49	1	28	0	1-2 Year	Yes	30,288	26	232	0
37,754	Male	29	1	28	0	< 1 Year	Yes	50,710	26	13	1
133,347	Male	59	1	28	0	1-2 Year	Yes	45,843	26	147	0
126,181	Female	32	1	7	0	< 1 Year	Yes	2,630	156	90	0
105,736	Female	48	1	28	1	1-2 Year	No	51,739	52	122	0
55,025	Female	43	1	28	1	1-2 Year	No	43,021	26	107	0
490,087	Male	45	1	28	0	1-2 Year	Yes	65,953	124	222	1
507,535	Male	49	1	28	0	1-2 Year	Yes	47,367	26	203	1
434,363	Female	23	1	36	1	< 1 Year	No	29,991	152	72	0
413,314	Male	52	1	28	1	1-2 Year	No	34,885	26	166	0
66,076	Female	37	1	39	0	1-2 Year	Yes	30,112	124	23	0
427,942	Male	28	1	47	1	< 1 Year	No	23,112	152	266	0
150,032	Male	54	1	50	1	1-2 Year	No	38,543	152	195	0
135,575	Female	23	1	29	1	< 1 Year	No	2,630	160	120	0
28,700	Male	28	1	28	1	< 1 Year	No	39,926	152	99	0
259,586	Female	48	1	12	0	> 2 Years	Yes	31,549	26	222	0
371,678	Male	22	1	25	1	< 1 Year	No	26,768	152	109	0
312,821	Female	52	1	28	0	1-2 Year	No	39,877	124	151	0
374,009	Male	70	1	12	1	1-2 Year	No	27,767	26	158	0
436,343	Male	45	1	28	1	1-2 Year	No	37,038	61	185	0
262,620	Male	43	1	45	1	1-2 Year	No	39,924	26	81	0
250,413	Male	56	1	0	0	1-2 Year	Yes	2,630	124	244	0
206,602	Male	21	1	6	1	< 1 Year	No	26,098	160	124	0
352,194	Female	62	1	6	1	1-2 Year	No	27,913	124	246	0
234,877	Female	23	1	27	1	< 1 Year	No	37,746	152	221	0
119,123	Male	39	1	28	0	1-2 Year	Yes	41,019	122	62	0
29,920	Female	21	1	8	1	< 1 Year	No	36,510	160	211	0
463	Male	23	1	35	1	< 1 Year	No	27,968	152	128	0
366,548	Male	51	1	41	0	1-2 Year	Yes	37,149	157	247	0
377,253	Female	25	1	3	0	< 1 Year	No	39,559	152	101	0
381,120	Male	40	1	7	1	1-2 Year	No	2,630	124	91	0
270,527	Female	20	1	46	1	< 1 Year	No	27,832	160	206	0
379,958	Female	41	1	39	0	1-2 Year	Yes	38,808	124	40	0
61,543	Female	46	1	18	1	1-2 Year	No	49,946	124	128	0
279,353	Female	21	1	28	0	< 1 Year	Yes	56,005	152	296	0
103,610	Male	52	1	28	0	1-2 Year	Yes	27,268	26	164	1

Subsets and Splits

No community queries yet

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