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
6,597	Female	34	1	28	0	1-2 Year	No	30,638	124	297	0
66,517	Male	22	1	13	0	< 1 Year	No	27,410	152	161	0
44,338	Female	76	1	50	1	1-2 Year	No	36,302	8	211	0
321,274	Male	61	1	28	0	1-2 Year	Yes	31,706	124	165	0
132,608	Female	24	1	28	1	< 1 Year	No	44,208	152	242	0
325,014	Male	27	1	15	1	< 1 Year	No	2,630	152	138	0
11,847	Female	76	1	3	0	1-2 Year	Yes	31,721	26	170	0
498,747	Male	26	1	32	1	< 1 Year	No	2,630	152	153	0
342,399	Male	25	1	50	1	< 1 Year	No	25,044	152	152	0
435,418	Male	29	1	46	1	< 1 Year	No	29,698	152	248	0
262,680	Female	63	1	28	0	1-2 Year	Yes	49,494	13	203	0
133,485	Male	71	1	28	1	1-2 Year	No	39,068	125	264	0
205,721	Female	66	1	8	0	> 2 Years	Yes	46,086	7	285	0
86,628	Male	52	1	38	0	1-2 Year	No	91,886	26	110	0
21,052	Female	28	1	21	1	< 1 Year	No	28,120	152	71	0
286,536	Female	26	1	41	1	< 1 Year	No	22,198	152	220	0
5,721	Male	24	1	15	0	< 1 Year	Yes	2,630	152	96	0
165,254	Female	29	1	37	0	< 1 Year	Yes	26,653	152	199	1
89,643	Female	62	1	28	0	1-2 Year	Yes	53,163	37	121	0
90,662	Male	40	1	28	1	1-2 Year	No	48,409	26	57	0
151,938	Female	57	1	28	0	1-2 Year	Yes	45,733	26	276	0
259,064	Female	26	1	30	1	< 1 Year	No	27,723	152	79	0
373,577	Male	41	1	18	1	1-2 Year	No	72,414	26	264	0
308,105	Male	48	1	28	0	> 2 Years	Yes	2,630	124	166	0
410,970	Male	31	1	51	0	1-2 Year	Yes	2,630	163	30	1
507,179	Male	21	1	46	1	< 1 Year	No	32,729	152	195	0
93,276	Female	23	1	28	1	< 1 Year	No	43,714	152	233	0
211,596	Female	22	1	17	0	< 1 Year	Yes	31,210	152	32	0
198,635	Female	30	1	3	0	1-2 Year	Yes	43,209	155	133	0
418,871	Female	25	1	16	1	< 1 Year	No	29,718	152	297	0
420,853	Female	28	1	41	1	< 1 Year	No	33,428	152	31	0
215,338	Male	78	0	28	0	1-2 Year	Yes	46,552	26	168	0
174,240	Female	30	1	33	1	< 1 Year	No	20,163	152	18	0
144,046	Male	69	1	48	1	1-2 Year	No	2,630	15	206	0
129,858	Female	29	1	28	1	< 1 Year	No	29,993	152	128	0
46,259	Male	48	1	45	0	1-2 Year	No	50,396	26	70	0
441,057	Male	34	1	28	1	1-2 Year	No	31,888	152	43	0
233,574	Female	32	1	4	0	1-2 Year	No	33,437	156	171	0
70,655	Male	55	1	28	0	1-2 Year	Yes	41,869	26	184	1
43,908	Male	48	1	28	0	1-2 Year	Yes	39,017	26	235	0
134,982	Female	27	1	45	1	< 1 Year	No	26,255	152	206	0
239,378	Female	23	1	35	1	< 1 Year	No	37,806	152	98	0
179,804	Female	22	1	11	0	1-2 Year	Yes	25,208	26	275	0
83,235	Male	52	1	28	0	1-2 Year	Yes	2,630	26	18	0
463,036	Male	37	1	0	1	1-2 Year	No	2,630	61	137	0
203,403	Female	30	1	46	1	< 1 Year	Yes	2,630	156	34	0
150,964	Female	26	1	28	0	1-2 Year	Yes	47,823	163	79	0
454,216	Male	23	1	7	1	< 1 Year	No	53,851	151	275	0
202,893	Female	26	1	10	1	< 1 Year	No	24,569	152	180	0
370,361	Female	72	1	28	1	1-2 Year	No	26,569	26	92	0
140,052	Male	40	1	33	0	1-2 Year	Yes	26,767	26	56	0
153,034	Male	61	1	28	0	> 2 Years	Yes	38,633	25	272	0
49,689	Male	65	1	13	0	1-2 Year	Yes	20,286	124	191	0
363,179	Female	24	1	8	1	< 1 Year	No	65,048	152	80	0
423,759	Female	39	1	28	0	1-2 Year	Yes	57,184	124	216	1
48,954	Male	22	1	47	0	< 1 Year	Yes	22,657	152	239	0
304,245	Female	42	1	3	0	1-2 Year	Yes	24,626	154	164	1
84,686	Female	44	1	47	0	1-2 Year	Yes	44,285	26	59	0
214,542	Male	23	1	15	0	< 1 Year	Yes	2,630	156	289	0
366,218	Female	21	1	15	0	< 1 Year	Yes	26,913	152	42	0
448,475	Male	22	1	40	1	< 1 Year	No	23,329	160	292	0
9,134	Female	56	1	28	0	1-2 Year	No	29,487	122	291	0
167,165	Female	70	1	28	0	> 2 Years	Yes	30,119	124	107	0
402,196	Female	25	1	28	0	< 1 Year	Yes	35,647	157	232	1
362,794	Female	24	1	8	1	< 1 Year	No	25,139	152	166	0
481,860	Male	28	1	14	0	1-2 Year	Yes	22,909	156	72	1
335,183	Male	80	1	46	0	1-2 Year	Yes	33,206	26	269	0
248,698	Male	24	1	33	1	< 1 Year	No	29,582	152	40	0
13,687	Female	24	1	18	1	< 1 Year	No	31,954	152	15	0
334,804	Male	49	1	15	0	1-2 Year	Yes	39,663	14	22	0
393,101	Male	31	1	8	0	1-2 Year	Yes	39,236	26	146	1
240,533	Male	61	1	28	0	1-2 Year	Yes	62,349	26	136	0
313,625	Female	63	1	28	1	1-2 Year	No	38,465	26	271	0
443,135	Female	70	0	50	1	1-2 Year	No	28,755	26	32	0
252,482	Male	51	1	18	0	1-2 Year	Yes	33,095	26	183	0
115,298	Male	54	1	8	0	1-2 Year	Yes	59,191	26	236	0
386,005	Female	27	1	11	1	< 1 Year	No	29,561	152	73	0
300,543	Male	61	1	29	1	1-2 Year	No	35,393	26	270	0
138,287	Female	33	1	8	1	1-2 Year	No	40,983	124	188	0
358,568	Female	42	1	28	1	1-2 Year	No	29,207	26	66	0
258,424	Female	63	1	31	0	1-2 Year	Yes	2,630	26	239	0
321,539	Female	56	0	28	0	1-2 Year	Yes	33,114	26	31	0
256,569	Male	46	1	48	0	1-2 Year	Yes	2,630	26	113	0
295,443	Male	34	1	29	1	1-2 Year	No	24,440	152	148	0
1,770	Male	72	1	29	0	1-2 Year	Yes	62,752	26	81	0
454,406	Female	31	1	14	0	1-2 Year	Yes	37,270	163	240	1
213,931	Male	54	1	28	0	> 2 Years	Yes	27,726	157	200	0
82,269	Male	47	1	9	1	1-2 Year	No	25,632	124	258	0
355,731	Female	23	1	46	1	< 1 Year	No	29,939	152	245	0
288,370	Female	26	1	47	1	< 1 Year	No	26,737	152	29	0
296,484	Male	52	1	28	0	1-2 Year	Yes	43,948	124	84	1
258,504	Male	31	1	33	1	< 1 Year	No	23,496	152	141	0
68,505	Male	49	1	29	0	1-2 Year	Yes	2,630	156	88	0
149,584	Female	45	1	8	1	1-2 Year	No	48,337	7	168	0
93,252	Male	21	1	46	1	< 1 Year	No	24,050	152	149	0
170,524	Female	58	1	48	0	1-2 Year	Yes	2,630	15	274	0
287,433	Female	24	1	37	1	< 1 Year	No	2,630	151	12	0
221,635	Female	26	1	30	1	< 1 Year	No	30,886	152	19	0
243,249	Female	23	1	28	0	1-2 Year	Yes	35,318	124	254	0
170,307	Male	41	1	30	0	1-2 Year	Yes	2,630	154	152	0

Subsets and Splits

No community queries yet

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