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
267,972	Female	57	1	11	0	1-2 Year	Yes	56,141	124	91	0
506,257	Female	32	1	33	0	1-2 Year	Yes	31,867	124	105	1
756	Female	49	1	8	0	> 2 Years	Yes	40,190	124	209	0
53,570	Female	46	1	28	0	1-2 Year	Yes	53,963	13	27	0
356,934	Female	42	1	6	0	1-2 Year	Yes	40,896	124	84	0
283,210	Female	27	1	3	1	< 1 Year	No	25,888	26	69	0
91,486	Male	24	1	28	0	< 1 Year	Yes	2,630	160	188	0
135,503	Male	47	1	28	0	1-2 Year	Yes	47,111	26	177	1
373,120	Female	58	1	8	0	1-2 Year	Yes	34,544	26	81	0
42,123	Female	62	1	28	0	1-2 Year	Yes	28,802	26	153	1
205,280	Male	22	1	21	1	< 1 Year	No	26,105	152	180	0
235,391	Male	25	1	21	1	< 1 Year	No	27,175	152	280	0
307,570	Female	31	1	11	0	< 1 Year	No	27,593	152	127	0
195,504	Male	62	1	31	0	1-2 Year	Yes	2,630	124	153	1
146,305	Male	66	1	28	1	1-2 Year	No	30,328	61	245	0
5,708	Male	58	1	19	0	1-2 Year	No	29,782	124	50	0
73,724	Male	25	1	11	1	< 1 Year	No	23,338	152	288	0
122,582	Female	25	1	10	1	< 1 Year	No	31,907	152	286	0
489,067	Female	25	1	8	1	< 1 Year	No	31,564	152	219	0
224,233	Female	32	1	27	0	< 1 Year	Yes	23,058	152	102	0
363,063	Male	42	1	28	1	1-2 Year	No	44,789	124	84	0
101,351	Female	64	1	1	0	> 2 Years	Yes	2,630	124	66	0
469,191	Female	27	1	41	1	< 1 Year	No	42,073	152	124	0
478,931	Male	27	1	41	1	< 1 Year	No	24,127	152	73	0
21,447	Male	24	1	46	0	< 1 Year	Yes	2,630	156	171	1
127,377	Female	44	1	28	0	> 2 Years	Yes	45,808	26	57	1
330,441	Female	31	1	28	1	1-2 Year	No	45,278	26	52	0
282,112	Female	26	1	18	0	< 1 Year	Yes	22,500	152	85	0
54,709	Female	36	1	28	1	1-2 Year	Yes	34,046	124	189	0
152,228	Male	65	1	28	0	1-2 Year	Yes	33,425	150	126	1
316,490	Male	69	1	28	0	1-2 Year	Yes	57,523	122	197	0
344,865	Male	25	1	15	0	< 1 Year	Yes	30,354	152	78	0
312,532	Male	45	1	28	0	1-2 Year	Yes	51,432	124	78	0
504,125	Female	66	1	41	1	1-2 Year	No	2,630	122	73	0
224,489	Male	21	1	35	1	< 1 Year	No	36,183	152	18	0
17,839	Male	22	1	8	1	< 1 Year	No	75,667	152	145	0
326,928	Male	59	1	11	0	1-2 Year	Yes	34,722	157	289	0
53,628	Female	38	1	8	0	1-2 Year	Yes	2,630	26	92	0
223,634	Female	32	1	28	1	1-2 Year	No	2,630	124	126	0
316,847	Female	77	1	30	1	1-2 Year	No	33,982	152	202	0
178,693	Female	48	1	28	0	1-2 Year	Yes	29,947	26	258	0
251,213	Male	44	1	0	1	1-2 Year	No	2,630	61	129	0
276,388	Female	23	1	7	1	< 1 Year	No	2,630	160	149	0
304,935	Female	25	1	32	0	< 1 Year	Yes	2,630	152	159	0
182,112	Female	22	1	42	1	< 1 Year	No	34,864	152	155	0
478,675	Female	25	1	8	1	< 1 Year	No	61,077	152	217	0
370,960	Female	52	1	3	0	1-2 Year	No	27,492	26	267	0
416,275	Male	24	1	14	1	< 1 Year	No	32,097	152	90	0
35,651	Male	24	1	7	1	< 1 Year	No	34,205	152	184	0
30,506	Male	65	1	47	0	1-2 Year	Yes	27,712	124	187	0
121,616	Female	23	1	16	1	< 1 Year	No	16,822	151	226	0
20,659	Female	25	1	45	0	< 1 Year	Yes	27,375	152	219	0
168,696	Male	68	1	28	1	1-2 Year	No	46,396	124	157	0
100,974	Male	27	1	28	1	< 1 Year	No	2,630	1	17	0
416,806	Female	63	1	31	1	1-2 Year	No	2,630	26	146	0
443,986	Male	22	1	30	1	< 1 Year	No	24,273	152	51	0
470,283	Male	36	1	28	1	1-2 Year	No	44,279	54	226	0
486,177	Male	54	1	28	0	1-2 Year	Yes	42,969	26	73	1
355,403	Male	48	1	28	0	1-2 Year	Yes	37,503	52	123	1
75,766	Female	57	1	33	0	1-2 Year	Yes	24,019	124	143	1
357,289	Female	58	1	28	0	1-2 Year	Yes	40,739	26	41	0
206,524	Male	32	1	28	0	1-2 Year	Yes	2,630	157	141	1
475,164	Male	24	1	14	1	< 1 Year	No	19,292	152	291	0
107,104	Male	55	1	13	0	1-2 Year	Yes	32,806	124	167	0
94,040	Female	23	1	15	1	< 1 Year	No	42,800	152	154	0
67,527	Male	25	1	6	1	< 1 Year	No	32,938	152	290	0
245,023	Female	26	1	50	1	< 1 Year	No	32,332	152	288	0
227,739	Female	22	1	18	1	< 1 Year	No	30,407	152	114	0
186,918	Female	23	1	46	0	< 1 Year	No	31,242	152	37	0
160,188	Male	28	1	50	1	< 1 Year	No	33,940	152	209	0
458,959	Male	28	1	30	1	< 1 Year	No	21,895	152	36	0
386,443	Male	25	1	28	1	< 1 Year	No	35,137	152	93	0
366,841	Female	21	1	15	0	< 1 Year	Yes	26,873	160	10	0
309,076	Male	58	1	28	0	> 2 Years	Yes	38,190	26	113	0
465,906	Male	26	1	9	1	1-2 Year	No	32,471	124	144	0
236,322	Male	24	1	30	1	< 1 Year	Yes	2,630	152	19	0
344,511	Female	53	1	28	1	1-2 Year	No	52,182	114	107	0
450,359	Male	42	1	28	0	1-2 Year	Yes	35,290	124	132	1
38,303	Male	22	1	28	0	< 1 Year	Yes	33,655	122	121	0
155,236	Female	40	1	28	1	1-2 Year	No	32,126	26	169	0
375,679	Male	43	1	28	0	1-2 Year	Yes	65,090	124	75	0
307,635	Male	24	1	41	1	< 1 Year	No	45,663	152	87	0
127,553	Male	24	1	8	1	< 1 Year	No	28,468	152	276	0
424,692	Female	26	1	3	1	< 1 Year	No	23,717	160	81	0
241,847	Male	42	1	46	0	1-2 Year	Yes	27,817	124	157	0
65,584	Male	57	1	39	0	1-2 Year	Yes	2,630	124	133	1
112,258	Female	28	1	11	1	< 1 Year	No	22,734	152	14	0
120,870	Male	38	1	46	0	1-2 Year	Yes	19,167	156	63	0
433,166	Female	25	1	47	1	< 1 Year	No	36,697	152	268	0
249,165	Male	52	1	28	0	1-2 Year	Yes	42,789	124	143	0
463,434	Male	27	1	2	0	1-2 Year	Yes	37,224	157	108	1
291,356	Male	27	1	14	0	< 1 Year	No	28,709	152	107	0
53,241	Male	28	1	6	1	< 1 Year	No	24,192	152	21	0
318,177	Female	27	1	14	0	< 1 Year	No	24,777	152	11	0
256,837	Female	28	1	37	1	< 1 Year	No	25,952	152	272	0
121,425	Male	24	1	3	1	< 1 Year	No	35,109	152	69	0
292,935	Male	47	1	28	0	1-2 Year	Yes	40,731	26	250	1
2,175	Male	49	1	15	1	1-2 Year	No	27,647	26	207	0
274,248	Male	74	1	39	0	1-2 Year	Yes	34,376	124	272	0
369,140	Male	41	1	46	0	1-2 Year	Yes	32,990	124	195	1

Subsets and Splits

No community queries yet

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