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
81,409	Female	23	1	41	1	< 1 Year	No	39,491	152	52	0
273,684	Male	54	1	39	0	1-2 Year	Yes	31,439	124	117	0
157,712	Male	45	1	28	0	1-2 Year	Yes	2,630	124	265	0
199,560	Male	26	1	37	0	< 1 Year	No	29,876	152	84	0
185,497	Male	26	1	15	0	< 1 Year	Yes	36,261	152	53	0
116,334	Male	49	1	28	0	1-2 Year	Yes	49,817	154	64	0
66,306	Male	22	1	47	0	< 1 Year	No	31,368	152	297	0
393,242	Male	37	1	28	0	1-2 Year	Yes	47,037	26	295	1
23,487	Male	28	1	41	0	< 1 Year	No	32,328	152	108	0
133,582	Male	69	1	46	1	1-2 Year	No	35,578	26	215	0
222,487	Male	63	1	7	0	1-2 Year	Yes	39,336	124	48	0
327,498	Male	32	1	47	0	1-2 Year	Yes	30,381	29	14	0
178,026	Male	24	1	28	1	< 1 Year	No	39,731	152	124	0
231,390	Female	29	1	11	0	1-2 Year	Yes	2,630	157	219	1
244,236	Female	60	1	28	1	1-2 Year	No	41,856	124	268	0
424,384	Female	23	1	8	1	< 1 Year	No	52,255	152	192	0
325,788	Male	25	1	11	0	< 1 Year	Yes	30,759	152	90	0
428,909	Male	59	1	23	1	1-2 Year	No	2,630	124	278	0
259,465	Female	25	1	9	0	< 1 Year	Yes	23,789	152	293	0
86,424	Male	26	1	7	1	< 1 Year	No	37,406	152	18	0
107,659	Female	29	1	41	0	< 1 Year	No	29,091	160	76	0
279,216	Female	25	1	21	1	< 1 Year	No	25,445	152	29	0
226,716	Male	44	1	7	1	1-2 Year	No	2,630	26	87	0
497,968	Female	74	1	47	1	1-2 Year	No	47,506	16	208	0
136,081	Male	42	1	35	1	1-2 Year	No	24,190	124	73	0
139,557	Male	27	1	3	1	< 1 Year	No	41,633	152	75	0
96,199	Male	55	1	46	0	1-2 Year	Yes	35,276	152	61	0
147,082	Male	41	1	5	1	1-2 Year	No	37,770	124	103	0
398,591	Male	44	1	8	0	1-2 Year	Yes	42,211	26	46	1
245,604	Male	46	1	28	0	1-2 Year	No	53,964	122	29	0
460,345	Female	44	1	8	1	1-2 Year	No	2,630	124	140	0
465,253	Male	51	1	28	0	> 2 Years	Yes	33,611	26	185	1
265,907	Male	38	1	8	1	1-2 Year	No	31,449	7	129	0
487,373	Female	54	1	28	1	1-2 Year	No	54,801	26	35	0
356,763	Female	74	1	31	1	1-2 Year	No	2,630	26	92	0
147,419	Male	40	1	28	0	> 2 Years	Yes	50,930	26	117	1
117,265	Female	27	1	21	1	< 1 Year	No	31,154	152	64	0
251,580	Female	37	1	36	1	1-2 Year	No	34,559	124	187	0
187,249	Male	69	1	8	0	1-2 Year	Yes	52,298	26	258	1
227,904	Female	31	1	25	1	< 1 Year	No	30,945	152	291	0
400,638	Male	51	1	41	0	1-2 Year	Yes	34,767	26	141	1
381,632	Female	26	1	28	0	< 1 Year	Yes	41,579	26	213	1
296,326	Male	40	1	35	0	1-2 Year	Yes	2,630	157	183	0
477,621	Male	25	1	14	1	< 1 Year	No	30,985	152	165	0
150,115	Female	41	1	28	0	1-2 Year	No	38,079	124	282	0
449,235	Female	24	1	41	1	< 1 Year	No	39,116	152	299	0
224,962	Female	47	1	28	1	1-2 Year	No	43,100	124	63	0
417,736	Female	42	1	28	0	1-2 Year	Yes	27,199	26	157	1
333,693	Male	29	1	28	0	< 1 Year	Yes	2,630	160	75	0
279,066	Female	41	1	28	0	1-2 Year	Yes	44,138	56	77	0
204,352	Female	46	1	46	0	> 2 Years	Yes	45,207	26	165	0
278,736	Female	44	1	28	0	1-2 Year	Yes	34,418	26	240	0
136,432	Female	45	1	28	0	> 2 Years	Yes	33,401	26	242	0
479,927	Female	28	1	15	1	< 1 Year	No	40,926	152	296	0
334,899	Male	37	1	4	1	1-2 Year	No	33,233	124	180	0
445,141	Male	43	1	3	0	1-2 Year	Yes	2,630	157	220	1
341,562	Female	21	1	28	1	< 1 Year	No	31,693	163	78	0
303,249	Female	22	1	28	0	< 1 Year	Yes	33,917	124	213	1
461,690	Male	40	1	8	0	1-2 Year	Yes	20,160	163	225	1
173,166	Female	41	1	46	1	1-2 Year	No	30,817	152	255	0
121,005	Female	49	1	28	0	1-2 Year	Yes	39,007	122	203	0
501,886	Female	28	1	41	1	< 1 Year	No	50,082	152	204	0
476,699	Female	27	1	13	1	< 1 Year	No	27,635	160	110	0
385,822	Female	28	1	13	1	< 1 Year	No	2,630	152	280	0
207,814	Female	27	1	21	1	< 1 Year	No	2,630	152	48	0
358,572	Male	63	1	28	1	1-2 Year	No	37,536	26	163	0
346,159	Female	24	1	41	1	< 1 Year	No	33,692	152	208	0
231,647	Female	61	1	28	0	1-2 Year	Yes	47,663	122	217	1
106,963	Male	53	1	39	0	1-2 Year	Yes	36,433	124	171	0
101,368	Female	24	1	28	1	< 1 Year	No	40,698	152	84	0
458,227	Male	45	1	19	0	1-2 Year	Yes	44,184	26	49	1
157,876	Female	49	1	2	0	1-2 Year	No	33,009	124	175	0
10,110	Female	27	1	27	0	< 1 Year	No	32,229	152	159	0
186,261	Male	54	1	45	0	1-2 Year	Yes	40,663	4	271	0
52,489	Male	25	1	47	0	< 1 Year	No	28,294	152	169	0
269,396	Male	22	1	11	1	< 1 Year	No	38,304	152	182	0
482,330	Male	35	1	28	0	1-2 Year	Yes	38,584	44	248	1
175,589	Female	58	1	50	0	1-2 Year	Yes	36,572	8	260	0
104,004	Female	42	1	15	0	1-2 Year	Yes	37,330	26	23	0
302,440	Female	70	1	28	1	1-2 Year	No	37,077	26	83	0
45,166	Male	57	1	7	0	1-2 Year	Yes	2,630	31	38	1
447,093	Male	50	1	30	0	1-2 Year	Yes	21,923	26	242	1
74,988	Female	33	1	8	0	1-2 Year	Yes	2,630	156	296	0
4,733	Male	23	1	37	0	< 1 Year	No	34,295	152	40	0
332,905	Female	36	1	29	0	1-2 Year	Yes	48,247	124	130	0
22,970	Male	41	1	10	0	1-2 Year	Yes	34,667	154	136	1
166,445	Male	22	1	15	0	< 1 Year	Yes	27,199	152	227	0
390,169	Male	23	1	29	1	< 1 Year	No	47,436	152	126	0
445,993	Male	46	1	28	0	1-2 Year	Yes	36,171	124	173	1
385,565	Male	30	1	18	0	1-2 Year	Yes	25,231	124	210	1
12,831	Female	51	1	28	0	1-2 Year	Yes	47,300	124	132	0
224,216	Female	63	1	28	0	> 2 Years	Yes	33,276	124	252	0
244,948	Female	26	1	8	1	< 1 Year	No	38,928	152	168	0
76,553	Female	24	1	15	0	< 1 Year	No	31,763	160	128	0
254,791	Male	24	1	39	0	< 1 Year	Yes	37,593	151	226	0
105,976	Male	53	1	30	0	> 2 Years	Yes	33,138	124	225	0
270,278	Male	47	1	8	0	1-2 Year	Yes	42,645	124	201	0
398,560	Male	45	1	46	0	1-2 Year	Yes	27,612	26	131	1
111,256	Male	32	1	30	0	< 1 Year	Yes	2,630	152	109	1
11,675	Male	26	1	35	1	< 1 Year	No	21,343	152	163	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.