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
41,362	Male	42	1	20	0	1-2 Year	Yes	2,630	124	147	0
412,249	Female	26	1	41	1	< 1 Year	No	63,691	152	218	0
329,541	Male	42	1	10	0	1-2 Year	Yes	20,149	152	258	0
162,046	Male	22	1	39	0	< 1 Year	Yes	42,862	152	92	0
82,617	Male	24	1	28	1	< 1 Year	No	31,279	152	43	0
100,282	Male	30	1	28	0	1-2 Year	Yes	39,524	26	56	0
213,029	Female	49	1	13	0	1-2 Year	Yes	20,549	26	128	0
300,082	Female	44	1	28	0	> 2 Years	Yes	39,197	26	253	0
460,098	Male	24	1	28	1	< 1 Year	No	31,320	152	58	0
299,531	Male	51	1	28	1	1-2 Year	Yes	38,287	124	171	0
409,204	Female	20	1	36	1	< 1 Year	No	49,038	160	148	0
21,269	Female	24	1	28	1	< 1 Year	No	38,272	152	168	0
82,381	Female	24	1	49	1	< 1 Year	No	26,238	152	237	0
207,777	Male	77	1	46	0	1-2 Year	No	35,597	124	142	0
501,086	Female	44	1	41	0	1-2 Year	Yes	24,704	26	258	1
138,568	Female	21	1	29	1	< 1 Year	No	30,958	152	155	0
212,974	Male	26	1	21	1	< 1 Year	No	20,191	152	118	0
74,225	Male	43	1	8	0	1-2 Year	Yes	41,386	156	172	0
358,309	Male	25	1	41	1	< 1 Year	No	40,313	152	204	0
165,003	Male	57	1	28	0	1-2 Year	Yes	28,466	26	57	0
199,730	Female	36	1	39	0	> 2 Years	Yes	2,630	157	266	0
37,563	Male	51	1	28	0	1-2 Year	Yes	39,028	124	92	0
217,553	Female	23	1	25	1	< 1 Year	No	28,984	152	284	0
121,867	Female	25	1	28	1	< 1 Year	No	60,500	151	58	0
59,055	Male	24	1	8	0	< 1 Year	Yes	36,272	152	144	0
309,958	Male	41	1	48	0	1-2 Year	No	2,630	124	35	0
120,524	Male	23	1	11	1	< 1 Year	No	27,662	152	63	0
362,941	Female	25	1	41	1	< 1 Year	No	36,326	152	127	0
354,964	Male	25	1	35	1	< 1 Year	No	36,555	152	246	0
240,322	Male	25	1	13	0	< 1 Year	Yes	22,280	152	210	0
152,774	Female	24	1	28	1	< 1 Year	No	67,122	160	17	0
338,798	Male	23	1	30	1	< 1 Year	No	19,311	152	37	0
89,388	Male	69	1	24	1	1-2 Year	No	46,098	124	238	0
129,100	Female	29	1	14	1	< 1 Year	No	18,948	152	128	0
179,945	Female	31	1	16	1	< 1 Year	No	29,262	152	78	0
253,903	Female	25	1	29	1	< 1 Year	No	41,699	152	76	0
293,760	Male	24	1	41	1	< 1 Year	No	37,366	152	31	0
43,862	Male	22	1	28	1	< 1 Year	No	51,260	152	290	0
413,952	Male	49	1	29	0	1-2 Year	Yes	41,992	26	262	1
425,442	Male	51	1	21	1	1-2 Year	No	28,013	29	68	0
254,503	Male	40	1	28	0	1-2 Year	Yes	35,647	122	289	0
236,132	Male	37	1	8	0	1-2 Year	No	31,312	124	150	0
296,087	Male	36	1	30	1	1-2 Year	No	28,010	152	36	0
328,182	Male	38	1	41	0	1-2 Year	No	34,220	124	13	0
59,465	Male	49	1	28	0	1-2 Year	Yes	44,303	26	149	0
67,027	Male	51	1	15	0	1-2 Year	Yes	34,072	26	240	1
342,830	Female	71	1	28	0	1-2 Year	No	2,630	124	274	0
277,710	Male	59	1	46	1	1-2 Year	No	25,872	11	279	0
97,568	Female	34	1	30	1	1-2 Year	No	27,393	152	120	0
329,386	Male	59	1	28	0	1-2 Year	Yes	32,708	26	56	0
244,227	Female	32	1	45	0	< 1 Year	Yes	24,214	26	143	1
293,889	Male	21	1	8	1	< 1 Year	No	24,255	160	265	0
51,200	Female	27	1	41	1	< 1 Year	No	31,332	152	138	0
148,436	Female	27	1	28	1	< 1 Year	No	49,840	152	221	0
73,198	Male	30	1	8	0	< 1 Year	Yes	59,927	26	237	0
153,558	Male	70	1	33	1	1-2 Year	No	44,047	26	241	0
145,597	Male	39	1	28	1	1-2 Year	No	42,253	124	97	0
422,890	Female	42	1	19	0	1-2 Year	Yes	2,630	26	97	1
59,716	Female	21	1	30	1	< 1 Year	No	29,721	152	162	0
57,726	Male	29	1	37	0	< 1 Year	Yes	27,573	152	67	0
254,946	Female	67	1	28	0	> 2 Years	Yes	58,741	3	192	0
376,358	Female	25	1	28	1	< 1 Year	No	29,059	152	241	0
40,401	Female	24	1	35	0	< 1 Year	Yes	28,835	152	69	0
26,298	Male	24	1	16	0	< 1 Year	Yes	35,581	152	256	0
339,992	Male	33	1	28	0	1-2 Year	Yes	69,646	124	185	1
188,514	Female	24	1	23	1	< 1 Year	No	26,517	152	22	0
183,339	Female	25	1	40	0	< 1 Year	Yes	38,027	124	226	0
204,349	Male	23	1	6	1	< 1 Year	No	27,363	152	295	0
130,315	Male	45	1	30	1	1-2 Year	No	26,731	124	205	0
433,102	Female	25	1	37	1	< 1 Year	No	29,490	152	144	0
242,075	Male	70	1	7	0	1-2 Year	Yes	49,369	23	47	0
505,652	Male	42	1	28	0	1-2 Year	Yes	39,881	124	106	1
24,735	Male	54	1	28	1	1-2 Year	No	60,494	124	238	0
281,797	Male	47	1	14	0	1-2 Year	Yes	2,630	26	211	0
201,838	Female	30	1	5	1	< 1 Year	No	28,976	152	83	0
153,601	Male	65	1	45	0	1-2 Year	Yes	23,424	26	64	0
504,624	Male	25	1	41	1	< 1 Year	No	32,681	152	212	0
354,350	Male	36	1	30	1	1-2 Year	No	34,151	152	69	0
296,844	Female	26	1	44	1	< 1 Year	No	33,274	152	181	0
311,464	Male	62	1	28	1	1-2 Year	No	42,079	29	212	0
276,583	Female	82	1	28	0	> 2 Years	Yes	39,129	122	47	0
52,583	Male	25	1	2	0	< 1 Year	Yes	24,352	152	143	1
447,690	Male	23	1	32	1	< 1 Year	No	11,840	151	58	0
61,232	Female	39	1	14	0	1-2 Year	Yes	27,813	26	135	1
50,614	Male	41	1	33	0	1-2 Year	Yes	2,630	156	252	1
10,126	Female	23	1	2	1	< 1 Year	No	42,389	152	117	0
93,178	Female	24	1	11	1	< 1 Year	Yes	27,626	152	288	0
142,761	Female	36	1	8	1	1-2 Year	Yes	2,630	124	112	0
371,225	Male	38	1	4	1	1-2 Year	No	2,630	152	261	0
355,009	Male	24	1	46	1	< 1 Year	No	53,540	152	201	0
282,849	Male	63	1	8	1	1-2 Year	No	62,627	124	123	0
112,122	Male	73	1	28	0	1-2 Year	Yes	24,791	26	165	0
84,226	Male	62	1	28	1	1-2 Year	No	81,700	26	60	0
278,881	Male	24	1	28	0	< 1 Year	Yes	27,642	122	226	0
211,491	Female	23	1	30	1	< 1 Year	No	27,209	152	42	0
495,858	Male	41	1	41	1	1-2 Year	No	26,833	124	103	0
469,702	Male	47	1	8	0	1-2 Year	Yes	32,814	124	247	1
317,676	Female	73	1	28	1	1-2 Year	No	44,427	26	106	0
296,630	Male	33	1	41	1	1-2 Year	No	19,915	26	187	0
194,656	Male	46	1	36	0	1-2 Year	No	58,141	154	107	0

Subsets and Splits

No community queries yet

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