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
164,590	Male	73	1	28	0	> 2 Years	Yes	25,095	26	39	1
233,316	Male	33	1	46	1	< 1 Year	No	2,630	1	227	0
397,736	Female	22	1	9	1	< 1 Year	No	32,737	152	262	0
453,831	Female	25	1	41	1	< 1 Year	No	27,115	152	245	0
462,398	Female	23	1	36	1	< 1 Year	No	30,498	152	100	0
499,550	Female	23	1	46	1	< 1 Year	No	32,746	152	15	0
355,696	Female	23	1	30	1	< 1 Year	No	30,326	152	129	0
154,507	Male	21	1	14	1	< 1 Year	No	2,630	157	155	0
396,966	Female	34	1	28	0	< 1 Year	Yes	69,939	124	44	1
125,371	Female	47	1	19	0	1-2 Year	Yes	2,630	156	172	0
357,236	Female	22	1	28	0	1-2 Year	Yes	55,568	163	144	0
57,615	Male	26	1	6	1	< 1 Year	No	27,486	152	288	0
369,834	Female	40	1	28	1	1-2 Year	No	33,751	124	49	0
473,242	Female	20	1	46	1	< 1 Year	No	28,387	160	133	0
274,696	Female	30	1	28	1	< 1 Year	No	37,187	152	123	0
3,682	Male	26	1	32	1	< 1 Year	No	32,263	152	206	0
231,495	Female	27	1	28	1	< 1 Year	No	29,349	152	125	0
66,653	Male	53	1	11	0	1-2 Year	Yes	31,994	26	252	1
396,942	Male	36	1	28	0	1-2 Year	Yes	35,249	124	227	1
134,678	Male	24	1	41	0	< 1 Year	Yes	44,350	124	26	0
141,486	Male	21	1	11	1	< 1 Year	No	21,164	152	208	0
426,051	Female	23	1	9	1	< 1 Year	No	40,917	152	297	0
494,339	Male	62	1	3	1	1-2 Year	No	44,501	124	39	0
90,077	Male	63	1	28	0	1-2 Year	Yes	34,163	26	259	0
413,892	Male	24	1	41	1	< 1 Year	No	31,219	152	23	0
171,206	Male	33	1	28	0	1-2 Year	Yes	31,422	124	53	0
191,207	Female	21	1	28	1	< 1 Year	No	2,630	152	268	0
219,919	Male	59	1	0	0	1-2 Year	Yes	2,630	26	135	0
70,189	Male	37	1	28	0	> 2 Years	Yes	2,630	26	184	0
325,551	Female	26	1	33	0	1-2 Year	Yes	35,144	124	225	1
46,972	Male	52	1	8	0	1-2 Year	Yes	30,600	26	243	0
379,174	Male	46	1	41	0	1-2 Year	No	23,677	124	180	0
201,013	Female	58	1	28	0	1-2 Year	Yes	42,049	26	123	0
304,058	Male	35	1	28	0	1-2 Year	Yes	51,641	26	227	1
463,600	Male	46	1	15	0	1-2 Year	Yes	21,413	26	72	1
457,968	Male	25	1	50	1	< 1 Year	No	49,061	152	249	0
456,162	Male	31	1	28	0	< 1 Year	Yes	2,630	124	248	1
210,136	Male	24	1	15	1	< 1 Year	No	54,891	152	33	0
130,494	Male	40	1	35	0	1-2 Year	Yes	49,665	124	67	0
452,933	Female	28	1	11	1	< 1 Year	No	36,190	152	248	0
285,413	Female	24	1	50	0	< 1 Year	No	2,630	152	39	0
202,948	Male	30	1	3	0	< 1 Year	Yes	25,309	152	289	1
139,623	Male	44	1	28	0	1-2 Year	Yes	36,195	124	97	0
13,767	Female	23	1	15	0	< 1 Year	Yes	37,134	152	61	0
118,637	Female	28	1	3	0	< 1 Year	Yes	18,711	152	30	1
486,847	Female	26	1	8	1	< 1 Year	No	42,595	152	79	0
197,273	Female	47	1	15	1	1-2 Year	No	32,225	14	128	0
300,467	Male	46	1	29	0	1-2 Year	Yes	37,968	26	228	1
425,706	Female	42	1	7	0	1-2 Year	Yes	39,230	150	189	1
378,004	Male	44	1	28	0	1-2 Year	No	30,226	26	23	0
253,101	Male	47	1	1	0	1-2 Year	Yes	2,630	124	105	0
170,830	Male	48	1	8	0	1-2 Year	Yes	37,847	124	192	0
292,511	Female	36	1	28	0	1-2 Year	Yes	50,937	122	273	1
439,120	Female	25	1	45	1	< 1 Year	No	24,050	152	199	0
84,674	Male	50	1	28	0	1-2 Year	Yes	54,441	3	29	0
397,043	Female	44	1	8	0	1-2 Year	Yes	28,059	26	39	1
378,130	Female	21	1	9	0	< 1 Year	Yes	34,024	152	145	0
121,830	Female	42	1	28	0	1-2 Year	Yes	35,079	124	60	1
397,217	Female	21	1	46	1	< 1 Year	No	23,595	152	129	0
504,505	Male	24	1	8	1	< 1 Year	No	35,515	152	203	0
147,023	Female	43	1	28	0	1-2 Year	Yes	36,997	124	276	0
391,973	Male	49	1	47	1	1-2 Year	No	29,134	124	131	0
222,201	Male	21	1	50	1	< 1 Year	No	32,708	152	299	0
142,443	Female	27	1	18	1	< 1 Year	No	61,783	152	31	0
104,360	Female	25	1	6	1	< 1 Year	No	28,221	151	130	0
46,283	Male	29	1	28	0	< 1 Year	Yes	22,725	160	174	0
129,322	Male	23	1	41	0	< 1 Year	Yes	33,007	124	274	0
105,557	Male	23	1	28	1	< 1 Year	No	34,663	152	131	0
187,312	Male	50	1	28	0	1-2 Year	Yes	58,685	4	104	1
104,380	Female	59	1	46	0	1-2 Year	Yes	2,630	26	277	0
420,929	Male	41	1	37	0	1-2 Year	Yes	24,815	154	132	1
84,271	Female	23	1	37	0	< 1 Year	Yes	22,687	152	80	0
333,913	Female	26	1	26	0	< 1 Year	Yes	27,211	152	239	0
356,944	Male	67	1	8	0	1-2 Year	Yes	42,590	26	42	0
192,076	Male	52	1	50	0	1-2 Year	Yes	33,825	8	194	0
69,678	Male	45	1	28	0	1-2 Year	Yes	34,734	26	60	0
105,586	Female	29	1	14	1	< 1 Year	No	35,662	152	83	0
121,817	Female	49	1	8	0	> 2 Years	Yes	49,985	26	54	0
480,295	Female	35	1	15	1	1-2 Year	No	44,594	152	198	0
177,975	Male	35	1	28	1	1-2 Year	No	95,159	26	75	0
413,089	Female	50	1	28	0	> 2 Years	Yes	43,364	26	223	1
323,143	Female	21	1	5	0	< 1 Year	Yes	29,791	160	116	1
67,871	Male	44	1	28	0	> 2 Years	Yes	45,727	31	150	0
146,918	Female	23	1	46	1	< 1 Year	No	36,701	26	248	0
373,433	Female	47	1	28	0	1-2 Year	Yes	43,921	124	224	1
17,667	Male	21	1	28	0	1-2 Year	Yes	2,630	157	197	0
86,411	Male	40	1	46	0	1-2 Year	No	2,630	124	64	0
77,907	Male	32	1	33	1	< 1 Year	No	41,759	152	279	0
398,225	Female	36	1	13	0	> 2 Years	Yes	27,159	26	13	1
170,814	Female	58	1	8	0	> 2 Years	Yes	34,099	25	140	1
478,527	Female	23	1	28	1	< 1 Year	No	61,825	152	247	0
84,822	Female	24	1	8	1	< 1 Year	No	50,031	160	230	0
448,211	Female	27	1	45	1	< 1 Year	No	34,422	152	13	0
142,834	Male	24	1	32	0	< 1 Year	Yes	33,880	152	20	0
58,692	Male	25	1	37	0	< 1 Year	Yes	30,139	153	163	1
325,691	Female	25	1	30	1	< 1 Year	No	21,828	152	152	0
245,781	Male	24	1	37	1	< 1 Year	No	24,041	152	36	0
112,003	Male	24	1	6	1	< 1 Year	No	35,670	152	130	0
95,248	Male	55	1	46	1	1-2 Year	No	39,775	124	218	0
317,128	Female	23	1	13	1	< 1 Year	No	26,415	26	217	0

Subsets and Splits

No community queries yet

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