Datasets:

codesignal
/

imbalanced-data-practice

Dataset card Data Studio Files Files and versions Community

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
425,740	Female	35	1	15	1	1-2 Year	No	26,344	152	116	0
20,183	Male	63	1	28	0	> 2 Years	Yes	44,382	26	181	0
123,454	Male	22	1	6	1	< 1 Year	No	34,103	160	195	0
118,057	Female	26	1	32	0	< 1 Year	Yes	2,630	152	220	0
189,275	Male	61	1	28	0	1-2 Year	Yes	29,959	124	278	1
326,880	Male	26	1	45	1	< 1 Year	No	27,339	152	255	0
372,423	Female	23	1	35	1	< 1 Year	No	26,252	26	21	0
168,921	Female	29	1	18	0	< 1 Year	Yes	36,700	124	257	1
462,816	Male	57	1	38	0	1-2 Year	Yes	27,317	26	88	1
400,771	Male	36	1	4	0	1-2 Year	Yes	31,753	124	295	1
139,153	Male	24	1	13	0	< 1 Year	Yes	25,013	152	128	0
35,662	Female	60	1	28	1	1-2 Year	No	39,825	15	160	0
151,696	Male	39	1	28	0	1-2 Year	Yes	27,065	124	27	1
102,046	Male	44	1	28	0	1-2 Year	No	2,630	124	20	0
163,991	Female	47	1	24	0	1-2 Year	Yes	36,324	156	26	0
310,363	Male	54	1	21	0	1-2 Year	Yes	2,630	157	245	0
95,755	Male	44	1	12	1	1-2 Year	No	28,091	26	143	0
175,446	Male	50	1	28	0	> 2 Years	Yes	72,382	124	272	0
275,781	Female	36	1	28	0	1-2 Year	Yes	38,571	124	65	1
472,371	Male	26	1	46	1	< 1 Year	No	27,232	152	266	0
51,475	Female	27	1	33	0	< 1 Year	Yes	22,106	160	232	0
69,316	Female	39	1	28	0	< 1 Year	No	2,630	1	226	0
397,385	Male	35	1	46	0	1-2 Year	Yes	26,526	124	220	1
450,259	Female	36	1	14	0	1-2 Year	Yes	30,676	154	17	1
483,384	Male	52	1	28	0	1-2 Year	Yes	26,987	26	151	1
121,825	Male	47	1	8	0	1-2 Year	No	32,942	124	264	1
303,425	Male	24	1	6	0	< 1 Year	Yes	33,832	154	284	0
166,623	Male	21	1	46	1	< 1 Year	No	24,733	160	38	0
331,566	Female	45	1	8	1	1-2 Year	No	38,081	4	182	0
181,279	Female	38	1	28	0	1-2 Year	Yes	37,734	26	174	1
185,043	Male	23	1	29	1	< 1 Year	No	39,212	152	110	0
217,823	Female	27	1	8	0	< 1 Year	Yes	48,026	152	97	0
366,801	Female	54	1	28	0	1-2 Year	Yes	52,570	26	155	0
227,546	Female	59	1	8	1	1-2 Year	No	63,844	26	126	0
168,587	Female	41	1	15	1	1-2 Year	No	46,732	14	62	0
289,468	Female	61	1	28	0	1-2 Year	Yes	37,739	26	200	0
236,334	Female	78	1	46	0	> 2 Years	Yes	30,593	124	260	1
447,909	Female	27	1	8	1	< 1 Year	No	38,235	152	161	0
340,964	Male	45	1	8	0	1-2 Year	Yes	46,461	80	61	0
216,035	Male	61	1	28	1	1-2 Year	Yes	33,223	26	169	0
324,994	Male	44	1	46	0	1-2 Year	Yes	23,897	124	52	1
259,171	Female	23	1	28	1	< 1 Year	No	35,221	152	135	0
48,645	Male	61	1	4	0	1-2 Year	Yes	2,630	154	173	0
243,151	Female	57	1	28	0	> 2 Years	Yes	2,630	26	38	0
240,846	Male	48	1	3	1	1-2 Year	Yes	17,464	124	273	0
381,043	Female	64	1	28	0	1-2 Year	Yes	33,563	122	73	0
60,200	Female	22	1	15	1	< 1 Year	No	31,500	152	133	0
107,644	Male	24	1	30	1	< 1 Year	No	30,804	152	97	0
249,194	Female	41	1	28	0	1-2 Year	Yes	2,630	124	258	1
280,227	Male	21	1	28	1	< 1 Year	No	43,672	152	30	0
91,472	Male	68	1	28	0	> 2 Years	Yes	34,132	26	180	0
345,175	Female	24	1	41	1	< 1 Year	No	24,451	152	80	0
303,419	Male	60	1	2	0	1-2 Year	Yes	37,983	26	127	1
394,080	Female	33	1	43	0	< 1 Year	Yes	2,630	154	90	1
366,068	Female	25	1	45	0	< 1 Year	Yes	31,525	152	91	0
367,721	Male	49	1	28	0	1-2 Year	Yes	2,630	154	117	0
223,194	Female	27	1	40	1	< 1 Year	No	26,844	152	291	0
483,019	Male	45	1	35	1	1-2 Year	No	27,327	26	266	0
150,142	Male	42	1	14	0	1-2 Year	Yes	28,690	26	74	0
118,856	Male	30	1	28	1	< 1 Year	No	46,094	152	80	0
330,188	Male	57	1	28	0	1-2 Year	No	54,318	26	33	0
350,693	Female	26	1	17	1	< 1 Year	No	37,894	152	221	0
419,456	Female	40	1	50	1	1-2 Year	No	21,037	152	109	0
293,905	Male	35	1	28	0	1-2 Year	Yes	32,121	26	12	0
94,327	Male	34	1	17	0	1-2 Year	Yes	48,998	26	230	0
154,086	Female	33	1	43	0	1-2 Year	Yes	27,305	124	237	1
402,615	Male	23	1	33	1	< 1 Year	No	35,775	152	250	0
15,642	Female	50	1	8	0	1-2 Year	No	57,589	26	214	0
197,328	Female	52	1	24	1	1-2 Year	No	2,630	145	137	0
350,520	Male	25	1	28	0	< 1 Year	Yes	30,026	152	10	1
314,945	Female	38	1	28	0	1-2 Year	Yes	44,633	26	86	1
117,960	Female	46	1	28	0	1-2 Year	Yes	47,942	124	37	0
369,599	Female	49	1	28	0	1-2 Year	Yes	2,630	26	143	0
95,117	Female	51	1	29	1	1-2 Year	No	32,731	135	147	0
174,484	Male	26	1	33	1	< 1 Year	No	23,586	152	292	0
335,711	Male	47	1	3	0	1-2 Year	Yes	38,128	26	92	0
242,964	Male	23	1	30	1	< 1 Year	No	26,774	152	191	0
251,134	Male	48	1	46	0	1-2 Year	Yes	30,997	26	151	1
252,777	Female	20	1	41	0	1-2 Year	Yes	2,630	163	82	0
333,422	Male	71	1	28	0	> 2 Years	Yes	40,824	26	188	1
374,299	Female	31	1	29	0	< 1 Year	No	37,090	26	37	1
18,436	Male	65	1	28	0	1-2 Year	Yes	62,123	26	210	0
245,001	Female	54	1	21	1	1-2 Year	No	27,243	124	247	0
291,249	Male	26	1	11	1	< 1 Year	No	23,754	152	88	0
24,581	Male	59	1	28	0	1-2 Year	Yes	30,930	26	167	0
131,799	Male	57	1	28	0	> 2 Years	Yes	2,630	124	297	1
212,463	Female	24	1	28	1	< 1 Year	No	36,359	152	143	0
382,110	Female	23	1	46	1	< 1 Year	No	35,868	152	269	0
495,102	Male	27	1	21	1	< 1 Year	No	25,396	152	78	0
417,429	Male	55	1	38	0	1-2 Year	Yes	28,675	124	201	1
193,139	Female	32	1	8	1	< 1 Year	No	29,404	152	266	0
140,200	Female	69	1	28	1	1-2 Year	No	44,862	26	32	0
2,522	Female	24	1	36	1	< 1 Year	No	34,149	152	241	0
298,986	Male	54	1	14	0	1-2 Year	Yes	2,630	156	220	1
44,762	Male	40	1	14	0	1-2 Year	No	28,545	26	187	0
171,399	Male	30	1	35	0	1-2 Year	Yes	29,726	124	296	0
364,585	Female	28	1	28	1	< 1 Year	No	29,856	152	38	0
87,380	Male	38	1	28	1	1-2 Year	No	32,013	152	119	0
374,526	Male	24	1	15	0	< 1 Year	Yes	29,589	152	246	1
47,174	Male	22	1	28	1	< 1 Year	No	44,000	152	229	0

Subsets and Splits

No saved queries yet

Save your SQL queries to embed, download, and access them later. Queries will appear here once saved.