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
173,156	Female	24	1	28	0	< 1 Year	Yes	31,684	124	188	0
103,239	Female	27	1	23	1	< 1 Year	No	21,573	152	81	0
172,977	Female	51	1	50	0	1-2 Year	Yes	43,216	26	186	1
347,302	Male	20	1	28	0	1-2 Year	Yes	45,740	122	287	0
294,113	Male	54	1	28	0	1-2 Year	Yes	28,972	52	50	1
374,454	Male	21	1	35	0	< 1 Year	No	38,031	160	236	0
368,191	Male	47	1	28	0	1-2 Year	Yes	33,536	56	19	0
126,837	Male	48	1	8	1	1-2 Year	No	2,630	124	188	0
54,358	Female	34	1	28	1	1-2 Year	No	63,733	124	75	0
34,960	Male	27	1	25	0	< 1 Year	Yes	2,630	152	79	0
417,334	Female	26	1	14	1	< 1 Year	No	2,630	152	267	0
41,475	Male	42	1	13	0	1-2 Year	Yes	21,167	124	67	0
333,715	Male	72	1	28	0	1-2 Year	Yes	24,072	23	279	0
361,472	Male	66	1	9	1	1-2 Year	No	37,526	26	159	0
201,549	Female	22	1	28	0	< 1 Year	Yes	40,051	152	21	0
403,292	Male	33	1	33	1	1-2 Year	No	31,993	124	192	0
310,296	Male	42	1	28	0	> 2 Years	Yes	38,891	26	262	1
64,125	Female	45	1	28	0	1-2 Year	Yes	30,141	23	97	0
470,929	Male	56	1	28	0	> 2 Years	Yes	43,774	26	223	1
28,485	Male	43	1	28	0	> 2 Years	Yes	53,723	124	42	1
334,292	Female	26	1	28	1	< 1 Year	Yes	27,397	152	122	0
78,769	Male	57	1	50	1	1-2 Year	No	34,339	152	162	0
167,930	Male	48	1	28	0	1-2 Year	Yes	37,890	124	57	0
197,886	Female	29	1	46	0	< 1 Year	No	29,520	152	262	0
40,613	Female	24	1	8	1	< 1 Year	No	39,454	152	103	0
452,533	Male	45	1	8	1	1-2 Year	No	53,592	26	297	0
373,928	Female	20	1	46	0	< 1 Year	Yes	25,073	160	147	0
108,436	Female	57	1	15	0	1-2 Year	Yes	33,943	154	193	1
157,644	Male	69	1	41	0	1-2 Year	Yes	46,800	12	10	0
390,813	Female	69	1	35	1	1-2 Year	No	62,000	26	116	0
359,833	Male	53	1	8	1	1-2 Year	No	28,995	7	26	0
333,095	Female	34	1	30	1	1-2 Year	No	34,767	152	81	0
1,450	Female	24	1	2	0	< 1 Year	Yes	30,161	152	152	0
283,215	Male	25	1	35	1	< 1 Year	No	2,630	152	80	0
315,413	Male	25	1	17	1	< 1 Year	No	38,204	152	284	0
431,952	Male	43	1	28	0	1-2 Year	Yes	2,630	122	207	1
448,635	Male	66	1	23	1	1-2 Year	No	31,252	26	256	0
494,332	Female	37	1	29	0	1-2 Year	Yes	30,331	124	104	1
229,266	Female	25	1	44	0	< 1 Year	Yes	34,450	152	285	0
228,263	Female	60	1	46	0	1-2 Year	Yes	34,057	124	274	0
208,111	Male	26	1	46	1	< 1 Year	No	31,476	152	213	0
27,972	Female	45	1	28	0	1-2 Year	Yes	39,946	154	258	0
269,281	Female	41	1	28	0	1-2 Year	Yes	37,935	29	20	1
273,178	Female	80	1	28	0	> 2 Years	Yes	2,630	122	251	0
431,718	Female	45	1	8	0	1-2 Year	Yes	20,111	156	88	1
430,359	Female	43	1	39	0	1-2 Year	Yes	42,015	26	164	1
203,102	Female	24	1	14	1	< 1 Year	No	61,247	152	278	0
26,736	Male	66	1	4	1	1-2 Year	No	36,826	124	152	0
418,385	Male	48	1	28	0	1-2 Year	Yes	33,391	122	95	1
89,448	Male	48	1	28	0	1-2 Year	Yes	39,278	26	88	1
343,476	Male	25	1	3	1	< 1 Year	No	2,630	152	298	0
84,995	Male	35	1	19	0	1-2 Year	Yes	2,630	156	158	0
194,548	Male	60	1	46	0	1-2 Year	Yes	2,630	157	138	0
427,444	Male	22	1	36	1	< 1 Year	No	23,169	152	48	0
214,730	Female	50	1	28	0	1-2 Year	Yes	44,654	122	276	0
90,771	Female	31	1	4	1	1-2 Year	No	2,630	124	188	0
449,017	Female	46	1	33	1	1-2 Year	No	25,858	26	193	0
146,946	Male	51	1	28	0	1-2 Year	Yes	35,263	26	246	0
308,969	Male	23	1	6	1	< 1 Year	No	23,613	152	60	0
321,742	Male	64	1	17	1	1-2 Year	No	45,147	26	298	0
251,092	Female	23	1	9	0	< 1 Year	Yes	26,282	152	86	0
214,705	Male	43	1	28	0	1-2 Year	Yes	40,487	26	248	0
126,514	Male	58	1	11	0	1-2 Year	Yes	2,630	26	116	0
305,402	Female	49	1	11	0	1-2 Year	Yes	34,959	26	83	0
249,440	Female	22	1	46	0	< 1 Year	Yes	25,440	152	215	0
207,362	Male	70	1	28	1	1-2 Year	No	54,513	124	289	0
33,565	Female	31	1	3	1	< 1 Year	No	2,630	152	100	0
126,003	Male	51	1	15	0	> 2 Years	Yes	40,121	124	134	0
207,380	Female	42	1	28	0	1-2 Year	No	37,595	124	41	0
346,635	Male	34	1	8	1	1-2 Year	No	33,258	26	132	0
410,556	Male	50	1	3	1	1-2 Year	No	18,292	26	144	0
430,483	Male	21	1	10	1	< 1 Year	No	26,898	152	194	0
67,983	Female	26	1	33	1	< 1 Year	No	38,222	152	10	0
63,156	Male	48	1	6	0	1-2 Year	Yes	34,832	124	250	0
140,533	Male	58	1	50	0	1-2 Year	Yes	32,106	8	125	0
246,069	Male	54	1	28	0	1-2 Year	Yes	51,660	26	260	1
234,497	Male	43	1	28	0	1-2 Year	No	26,084	26	124	0
504,131	Male	60	1	30	1	1-2 Year	No	19,946	26	226	0
306,075	Male	39	1	8	1	1-2 Year	No	46,358	26	267	0
13,861	Female	24	1	28	0	< 1 Year	Yes	53,703	152	66	0
328,377	Female	22	1	40	1	< 1 Year	No	52,041	152	119	0
71,239	Female	30	1	28	0	< 1 Year	Yes	36,420	124	269	1
234,039	Male	55	1	28	0	1-2 Year	Yes	25,712	124	240	1
297,967	Male	46	1	28	0	1-2 Year	Yes	48,389	26	280	1
78,079	Female	22	1	25	1	< 1 Year	No	69,393	160	256	0
343,697	Female	34	1	34	1	1-2 Year	No	33,837	152	131	0
461,217	Female	23	1	18	1	< 1 Year	No	26,946	152	153	0
143,588	Male	21	1	15	0	< 1 Year	Yes	30,134	160	45	0
119,834	Female	23	1	12	1	< 1 Year	No	33,455	152	289	0
22,526	Female	23	1	21	0	< 1 Year	Yes	30,618	152	253	0
388,994	Male	38	1	28	1	1-2 Year	No	27,804	152	60	0
352,186	Male	24	1	8	1	< 1 Year	No	32,319	152	131	0
174,486	Female	23	1	22	0	< 1 Year	Yes	27,466	152	76	0
134,633	Male	24	1	28	0	< 1 Year	Yes	35,625	152	181	0
71,123	Female	35	1	28	1	1-2 Year	No	35,676	152	220	0
471,705	Male	21	1	41	1	< 1 Year	No	51,949	152	291	0
290,287	Male	42	1	28	0	1-2 Year	Yes	46,702	124	179	1
313,393	Male	41	1	49	0	1-2 Year	Yes	2,630	156	187	0
129,619	Female	35	1	28	0	1-2 Year	Yes	37,446	155	18	0
453,916	Female	38	1	28	0	1-2 Year	Yes	31,556	124	202	1

Subsets and Splits

No community queries yet

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