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
373,175	Female	21	1	33	1	< 1 Year	No	30,324	152	158	0
362,651	Female	75	1	28	1	1-2 Year	No	45,217	16	270	0
129,476	Female	23	1	35	1	< 1 Year	No	30,436	152	212	0
485,155	Female	51	1	28	0	1-2 Year	Yes	44,640	26	231	1
359,772	Male	50	1	43	0	1-2 Year	Yes	2,630	156	34	1
149,857	Male	43	1	41	0	1-2 Year	Yes	23,968	124	29	1
266,093	Female	23	1	11	1	< 1 Year	No	28,154	152	45	0
126,346	Male	49	1	29	0	1-2 Year	No	36,054	124	219	0
105,608	Female	40	1	28	0	1-2 Year	Yes	35,946	26	268	0
118,725	Male	22	1	46	0	< 1 Year	No	24,186	152	21	0
121,339	Male	59	1	28	0	1-2 Year	Yes	2,630	124	232	0
100,543	Male	21	1	6	1	< 1 Year	No	27,144	152	236	0
234,219	Female	60	1	28	0	> 2 Years	Yes	58,170	122	297	1
443,127	Female	50	1	28	0	1-2 Year	Yes	51,472	26	219	1
188,273	Male	26	1	3	1	1-2 Year	No	17,445	124	65	0
57,956	Male	48	1	28	0	1-2 Year	Yes	30,565	26	178	0
263,506	Male	28	1	21	1	< 1 Year	No	29,242	152	283	0
437,148	Male	36	1	21	0	1-2 Year	Yes	32,162	124	293	1
440,121	Male	24	1	36	1	< 1 Year	No	33,878	152	180	0
476,272	Male	58	1	28	0	1-2 Year	Yes	38,287	26	98	1
29,028	Female	67	1	28	1	1-2 Year	No	23,073	124	39	0
21,750	Female	28	1	50	1	< 1 Year	No	32,402	152	166	0
148,948	Female	22	1	29	1	< 1 Year	No	44,027	152	265	0
85,969	Male	24	1	50	1	< 1 Year	No	50,827	152	175	0
29,115	Female	67	1	41	1	< 1 Year	No	2,630	1	172	0
411,452	Female	33	1	15	1	< 1 Year	No	33,032	152	280	0
29,411	Male	23	1	28	0	< 1 Year	Yes	41,119	152	233	1
333,116	Female	40	1	28	0	1-2 Year	Yes	30,854	26	173	1
286,177	Male	45	1	28	1	1-2 Year	No	29,794	26	260	0
429,281	Male	27	1	21	1	< 1 Year	No	28,113	152	135	0
388,747	Female	54	1	46	1	1-2 Year	No	32,948	11	82	0
443,822	Female	36	1	28	0	1-2 Year	Yes	38,670	26	215	1
191,392	Female	28	1	8	1	< 1 Year	No	2,630	152	11	0
448,400	Female	36	1	28	0	1-2 Year	Yes	35,733	26	38	1
156,269	Female	38	1	28	0	1-2 Year	Yes	57,221	122	20	0
231,581	Male	63	1	30	1	1-2 Year	No	38,609	26	19	0
433,085	Male	45	1	28	0	1-2 Year	Yes	53,633	26	21	1
302,303	Female	56	1	28	1	1-2 Year	No	69,856	26	293	0
439,296	Female	36	1	26	0	1-2 Year	Yes	38,904	26	173	1
408,299	Male	48	1	28	0	1-2 Year	Yes	42,649	122	175	1
281,400	Male	26	1	41	0	< 1 Year	Yes	44,926	152	245	0
170,047	Female	47	1	28	0	> 2 Years	Yes	26,771	13	45	0
495,110	Male	26	1	8	1	< 1 Year	No	38,584	152	68	0
278,485	Male	30	1	28	0	< 1 Year	Yes	33,636	154	32	0
244,282	Male	35	1	7	0	1-2 Year	Yes	2,630	124	146	1
141,490	Female	23	1	12	1	< 1 Year	No	33,450	152	265	0
359,425	Female	46	1	33	1	1-2 Year	No	34,471	26	21	0
261,251	Female	49	1	15	0	1-2 Year	Yes	27,278	152	153	0
248,769	Male	43	1	28	0	> 2 Years	Yes	42,324	147	55	0
171,368	Male	50	1	18	0	1-2 Year	Yes	30,681	26	192	0
72,754	Male	40	1	35	0	1-2 Year	Yes	27,406	124	229	1
251,227	Female	34	1	21	1	1-2 Year	No	2,630	152	28	0
376,125	Female	39	1	28	0	> 2 Years	Yes	48,967	124	26	1
407,050	Female	42	1	28	0	> 2 Years	Yes	44,997	26	147	1
232,124	Female	63	1	50	1	1-2 Year	No	33,174	8	278	0
198,272	Male	30	1	28	1	< 1 Year	No	24,897	152	202	0
496,763	Female	35	1	35	0	1-2 Year	Yes	52,918	154	164	1
294,753	Female	22	1	46	1	< 1 Year	No	25,574	152	60	0
268,445	Female	23	1	8	0	< 1 Year	Yes	33,121	26	224	0
109,851	Female	60	1	47	0	< 1 Year	No	2,630	1	156	0
199,313	Female	63	1	28	0	> 2 Years	Yes	34,750	124	24	0
33,877	Male	31	1	3	1	1-2 Year	No	28,577	24	47	0
259,733	Male	39	1	8	0	1-2 Year	Yes	21,320	124	208	0
235,787	Female	71	1	46	0	1-2 Year	Yes	52,700	26	277	0
498,714	Female	22	1	13	1	< 1 Year	No	15,728	152	12	0
452,393	Male	23	1	8	1	< 1 Year	No	31,603	152	276	0
13,571	Male	49	1	28	0	> 2 Years	Yes	35,682	124	172	0
499,797	Male	39	1	32	0	1-2 Year	Yes	27,778	124	221	1
371,826	Female	37	1	21	1	1-2 Year	No	28,652	26	155	0
227,892	Male	25	1	28	1	< 1 Year	No	38,664	152	246	0
165,288	Female	20	1	47	0	< 1 Year	Yes	32,667	160	83	0
207,745	Male	76	1	28	0	1-2 Year	Yes	39,394	13	160	0
299,640	Female	35	1	18	1	1-2 Year	No	24,265	152	54	0
233,137	Male	27	1	2	1	< 1 Year	No	36,742	152	28	0
154,211	Female	22	1	19	1	< 1 Year	No	29,965	152	63	0
213,357	Male	22	1	37	0	< 1 Year	No	2,630	152	241	0
88,277	Male	21	1	46	1	< 1 Year	No	35,901	160	50	0
152,624	Female	22	1	41	1	< 1 Year	No	34,764	152	251	0
9,939	Female	43	1	8	1	1-2 Year	No	42,329	124	14	0
322,174	Male	66	1	28	1	1-2 Year	No	44,817	26	237	0
114,993	Male	44	1	28	0	1-2 Year	No	35,032	26	176	0
226,622	Female	51	1	28	1	1-2 Year	No	57,749	124	287	0
304,285	Male	69	1	33	0	1-2 Year	Yes	32,665	26	70	0
459,563	Male	23	1	32	1	< 1 Year	No	35,008	152	120	0
457,961	Male	57	1	28	0	1-2 Year	Yes	2,630	26	98	1
426,451	Male	23	1	8	1	< 1 Year	No	45,539	152	96	0
106,269	Male	23	1	30	0	< 1 Year	Yes	28,177	152	260	0
223,257	Female	25	1	28	1	< 1 Year	No	33,981	152	58	0
244,434	Female	22	1	14	1	< 1 Year	No	23,408	152	15	0
499,038	Female	49	1	3	0	1-2 Year	Yes	23,920	124	76	1
96,359	Female	32	1	10	0	1-2 Year	Yes	2,630	156	236	0
361,054	Female	23	1	45	1	< 1 Year	No	19,784	151	109	0
212,566	Female	53	1	8	1	1-2 Year	No	34,899	26	299	0
184,367	Male	47	1	28	0	1-2 Year	Yes	48,490	52	147	0
203,889	Male	39	1	46	0	1-2 Year	Yes	23,364	21	190	0
85,959	Female	77	1	28	0	1-2 Year	Yes	60,595	26	259	0
161,753	Female	41	1	29	0	1-2 Year	Yes	29,890	26	289	0
31,561	Female	44	1	4	0	1-2 Year	Yes	25,992	55	224	0
255,938	Female	25	1	19	1	< 1 Year	No	2,630	152	133	0
48,455	Male	55	1	28	0	1-2 Year	Yes	46,305	26	30	0

Subsets and Splits

No community queries yet

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