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
216,125	Female	38	1	6	0	1-2 Year	Yes	27,980	26	103	0
385,934	Female	24	1	8	1	< 1 Year	No	47,446	152	175	0
430,261	Male	21	1	7	1	< 1 Year	No	40,257	160	266	0
46,591	Female	47	1	28	0	1-2 Year	Yes	37,329	26	206	0
182,463	Female	26	1	18	1	< 1 Year	No	32,130	152	10	0
292,199	Male	50	1	28	0	1-2 Year	Yes	68,304	26	186	1
175,090	Female	21	1	46	1	< 1 Year	No	18,481	160	287	0
147,586	Female	24	1	37	0	< 1 Year	Yes	28,255	152	189	0
67,929	Male	25	1	32	1	< 1 Year	No	34,799	152	184	0
431,030	Male	48	1	46	0	1-2 Year	Yes	25,438	156	137	1
167,387	Male	20	1	8	0	< 1 Year	Yes	33,704	160	51	0
6,841	Male	29	1	46	1	< 1 Year	No	2,630	152	109	0
29,225	Male	30	1	28	0	< 1 Year	Yes	2,630	122	157	1
334,674	Female	27	1	28	1	< 1 Year	No	46,731	152	297	0
367,732	Female	20	1	8	0	< 1 Year	Yes	52,701	160	18	0
359,784	Male	27	1	28	1	< 1 Year	No	33,223	152	220	0
239,339	Male	33	1	18	1	< 1 Year	No	37,477	152	57	0
454,910	Female	42	1	28	1	1-2 Year	No	66,969	26	102	0
341,740	Female	41	1	46	0	1-2 Year	Yes	25,208	124	41	1
322,302	Female	55	1	28	0	1-2 Year	Yes	35,938	122	91	1
329,510	Male	52	1	40	0	1-2 Year	No	21,078	124	108	0
123,908	Female	50	1	2	0	1-2 Year	Yes	23,058	26	255	0
153,025	Female	28	1	50	1	< 1 Year	No	2,630	160	69	0
380,353	Male	40	1	28	0	1-2 Year	No	28,816	124	261	1
199,273	Male	38	1	8	1	1-2 Year	No	44,482	26	267	0
125,936	Male	46	1	28	1	1-2 Year	No	28,684	26	170	0
317,241	Female	44	1	6	1	1-2 Year	No	30,104	152	223	0
293,321	Female	65	1	28	0	1-2 Year	No	60,455	122	204	0
411,547	Female	22	1	46	1	< 1 Year	No	24,166	152	56	0
327,692	Male	24	1	14	1	< 1 Year	No	21,408	152	276	0
390,015	Female	22	1	41	1	< 1 Year	No	22,955	152	54	0
337,521	Female	28	1	45	1	< 1 Year	No	31,084	152	97	0
3,034	Male	57	1	46	0	> 2 Years	Yes	2,630	156	219	1
133,967	Male	28	1	2	1	< 1 Year	No	35,453	152	226	0
198,836	Male	34	1	39	0	1-2 Year	Yes	2,630	124	50	0
95,080	Male	40	0	47	0	1-2 Year	No	35,958	16	244	0
496,458	Male	24	1	15	1	< 1 Year	No	40,795	152	295	0
156,226	Female	23	1	43	1	< 1 Year	No	44,746	152	61	0
56,128	Female	30	1	50	1	< 1 Year	No	16,749	152	181	0
212,923	Male	61	1	32	1	1-2 Year	No	2,630	160	108	0
182,215	Female	55	1	46	0	> 2 Years	Yes	42,464	11	47	0
378,222	Female	44	1	28	0	> 2 Years	Yes	2,630	26	118	0
250,322	Male	60	1	22	1	1-2 Year	No	17,235	26	125	0
148,041	Female	48	1	28	0	> 2 Years	Yes	52,778	26	150	1
57,094	Male	57	1	28	0	> 2 Years	Yes	32,137	124	55	0
1,549	Female	25	1	8	1	< 1 Year	No	38,482	152	272	0
361,156	Male	52	1	28	0	1-2 Year	Yes	47,934	124	273	0
417,285	Female	35	1	28	0	1-2 Year	Yes	32,534	122	29	1
284,459	Male	48	1	28	0	1-2 Year	Yes	58,949	26	181	0
239,105	Female	21	1	46	0	< 1 Year	Yes	42,055	160	271	0
153,911	Male	27	1	28	1	1-2 Year	No	40,145	122	60	0
463,299	Male	74	1	28	1	1-2 Year	No	53,811	26	299	0
84,906	Male	21	1	41	1	< 1 Year	No	29,960	160	67	0
355,950	Male	41	1	46	0	1-2 Year	Yes	2,630	124	171	1
253,871	Female	25	1	6	1	< 1 Year	No	20,684	152	18	0
76,708	Female	45	1	28	0	1-2 Year	Yes	39,225	26	72	0
135,221	Male	41	1	8	0	1-2 Year	Yes	2,630	124	132	1
352,700	Male	27	1	30	1	< 1 Year	Yes	26,507	154	155	0
73,064	Male	34	1	30	0	1-2 Year	Yes	27,124	26	252	1
196,135	Male	53	1	17	1	1-2 Year	No	2,630	30	198	0
27,507	Male	47	1	28	1	1-2 Year	No	29,445	124	51	0
368,744	Female	60	1	28	0	1-2 Year	Yes	2,630	26	41	0
315,959	Male	23	1	2	1	< 1 Year	No	44,134	26	184	0
113,625	Female	24	1	8	1	< 1 Year	No	38,191	152	58	0
324,185	Male	23	1	15	1	< 1 Year	No	29,118	26	161	0
352,267	Male	75	1	28	0	> 2 Years	Yes	32,301	26	192	0
482,477	Female	61	1	50	1	1-2 Year	No	28,595	26	173	0
115,161	Female	72	1	28	0	1-2 Year	Yes	24,751	26	190	0
45,054	Male	68	1	15	0	1-2 Year	Yes	2,630	26	240	0
488,641	Male	46	1	41	1	1-2 Year	No	27,122	152	273	0
74,945	Male	46	1	28	0	1-2 Year	Yes	50,303	122	280	0
232,510	Male	47	1	8	0	1-2 Year	Yes	36,414	7	207	0
39,307	Female	27	1	37	0	< 1 Year	Yes	2,630	152	43	0
276,710	Female	49	1	8	0	1-2 Year	Yes	50,258	156	74	1
22,109	Male	23	1	47	0	< 1 Year	Yes	43,681	26	232	0
280,020	Male	42	1	28	0	1-2 Year	Yes	49,779	26	185	1
67,459	Male	24	1	32	1	< 1 Year	No	49,499	152	239	0
202,642	Male	46	1	12	0	1-2 Year	Yes	2,630	124	144	0
200,161	Female	40	1	28	0	1-2 Year	Yes	61,147	26	170	0
127,744	Male	24	1	41	0	< 1 Year	Yes	2,630	160	42	0
84,491	Male	25	1	35	1	< 1 Year	No	28,596	152	103	0
390,426	Female	45	1	28	1	1-2 Year	No	27,075	124	168	0
343,670	Female	24	1	36	0	< 1 Year	Yes	39,338	151	217	0
10,069	Male	24	1	6	1	< 1 Year	No	25,657	152	64	0
178,258	Male	36	1	28	0	> 2 Years	Yes	26,537	124	37	1
440,044	Female	45	1	35	0	1-2 Year	Yes	45,638	124	152	1
48,615	Male	43	1	8	0	1-2 Year	Yes	57,331	80	287	0
87,717	Male	47	1	14	0	1-2 Year	Yes	22,468	163	204	0
241,889	Male	50	1	28	0	1-2 Year	Yes	29,448	124	145	0
88,048	Female	25	1	8	1	< 1 Year	No	30,690	152	263	0
381,862	Female	39	1	28	0	1-2 Year	Yes	29,122	124	295	1
51,639	Female	32	1	35	0	1-2 Year	Yes	2,630	125	70	0
124,233	Female	67	1	28	1	1-2 Year	Yes	33,739	26	126	0
365,027	Female	24	1	29	1	< 1 Year	No	30,519	152	101	0
51,266	Male	35	1	28	0	1-2 Year	Yes	24,742	154	266	1
72,862	Female	22	1	6	1	< 1 Year	No	35,021	152	112	0
339,105	Male	76	1	28	0	1-2 Year	Yes	55,992	26	120	0
230,816	Male	47	1	29	0	1-2 Year	Yes	2,630	124	226	0
72,130	Female	29	1	8	1	< 1 Year	No	55,899	152	159	0
288,772	Male	33	1	11	1	1-2 Year	No	28,527	26	168	0

Subsets and Splits

No community queries yet

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