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
66,591	Female	21	1	28	0	1-2 Year	Yes	42,182	156	25	0
32,441	Male	21	1	33	1	< 1 Year	No	26,526	152	265	0
32,491	Male	54	1	28	0	1-2 Year	Yes	28,329	124	84	1
124,462	Female	60	1	28	0	1-2 Year	Yes	50,937	26	149	0
72,172	Male	32	1	15	0	< 1 Year	Yes	40,022	163	73	0
117,707	Male	46	1	28	1	1-2 Year	No	28,687	26	88	0
115,077	Female	23	1	6	1	< 1 Year	No	24,418	152	208	0
103,594	Male	47	1	28	0	1-2 Year	Yes	49,607	24	267	0
283,661	Male	25	1	41	1	< 1 Year	No	60,263	152	187	0
134,539	Male	23	1	34	0	< 1 Year	Yes	21,602	152	152	0
393,348	Female	37	1	28	0	1-2 Year	Yes	21,927	122	106	1
297,093	Male	41	1	48	0	1-2 Year	Yes	2,630	15	144	0
224,424	Male	21	1	42	0	< 1 Year	No	2,630	160	16	0
333,340	Female	28	1	37	0	< 1 Year	Yes	34,477	152	142	0
323,153	Male	23	1	30	0	< 1 Year	Yes	37,633	152	239	0
345,878	Male	49	1	28	0	1-2 Year	Yes	37,652	26	74	0
19,518	Male	21	1	27	0	< 1 Year	Yes	23,574	160	18	0
507,007	Female	23	1	14	1	< 1 Year	No	48,354	152	249	0
492,442	Male	22	1	46	1	< 1 Year	No	23,274	152	16	0
106,225	Male	43	1	6	0	1-2 Year	Yes	2,630	31	266	1
374,832	Male	34	1	48	1	1-2 Year	No	2,630	15	238	0
351,746	Male	60	1	8	0	1-2 Year	Yes	2,630	124	57	0
194,336	Female	22	1	15	1	< 1 Year	No	33,621	152	250	0
313,023	Female	25	1	30	1	< 1 Year	No	28,205	152	40	0
501,085	Male	44	1	28	1	1-2 Year	No	31,883	152	191	0
254,483	Male	25	1	2	0	< 1 Year	No	25,032	152	285	0
317,587	Male	25	1	35	1	< 1 Year	No	27,220	152	278	0
415,722	Male	67	1	41	0	> 2 Years	Yes	52,055	26	191	1
170,946	Female	22	1	50	1	< 1 Year	No	30,730	152	178	0
380,647	Male	23	1	28	1	< 1 Year	No	49,918	152	92	0
265,168	Male	50	1	47	0	1-2 Year	Yes	35,351	26	187	0
316,532	Male	43	1	28	0	1-2 Year	Yes	37,735	26	283	1
209,250	Female	42	1	28	0	1-2 Year	Yes	37,076	26	80	1
158,330	Male	36	1	7	0	1-2 Year	Yes	2,630	26	151	0
311,988	Male	33	1	41	0	1-2 Year	Yes	21,076	124	16	1
299,496	Male	40	1	11	1	1-2 Year	No	2,630	120	48	0
353,142	Male	63	1	36	1	1-2 Year	No	2,630	30	34	0
168,236	Male	57	1	28	1	1-2 Year	No	28,818	26	147	0
29,877	Male	53	1	37	1	1-2 Year	No	31,554	26	45	0
441,662	Female	32	1	46	1	< 1 Year	No	24,951	152	275	0
496,702	Male	48	1	35	0	1-2 Year	Yes	26,912	26	12	1
234,242	Female	33	1	35	0	< 1 Year	Yes	2,630	160	279	0
408,690	Male	71	1	26	1	1-2 Year	No	27,111	26	180	0
409,502	Female	26	1	33	1	< 1 Year	No	33,794	152	214	0
74,203	Female	21	1	10	0	< 1 Year	Yes	27,679	160	157	0
66,703	Female	25	1	32	1	< 1 Year	No	37,345	152	130	0
81,832	Male	52	1	8	1	1-2 Year	No	41,733	26	129	0
87,127	Male	26	1	41	1	1-2 Year	Yes	27,959	124	267	0
393,735	Female	23	1	41	1	< 1 Year	No	32,287	152	209	0
149,065	Female	61	1	28	0	1-2 Year	Yes	35,216	122	182	0
345,317	Male	64	1	33	0	1-2 Year	Yes	27,330	26	228	0
115,652	Male	21	1	8	0	< 1 Year	Yes	43,640	160	256	0
97,748	Female	44	1	48	1	1-2 Year	No	2,630	124	28	0
356,295	Male	38	1	4	0	1-2 Year	Yes	2,630	124	33	0
121,864	Female	46	1	28	0	1-2 Year	Yes	25,850	124	257	0
238,270	Female	31	1	50	1	1-2 Year	No	31,813	8	60	0
428,013	Male	57	1	8	1	1-2 Year	No	32,442	26	274	0
256,198	Male	27	1	28	1	< 1 Year	No	36,002	152	27	0
244,218	Female	25	1	11	1	< 1 Year	No	36,610	152	283	0
326,844	Male	59	1	3	1	1-2 Year	No	41,966	124	98	0
91,139	Female	42	1	15	0	1-2 Year	Yes	2,630	26	100	0
435,690	Male	65	1	41	1	1-2 Year	No	28,873	26	188	0
184,412	Male	37	1	28	1	1-2 Year	No	2,630	124	218	0
172,375	Male	43	1	50	0	1-2 Year	No	28,753	26	262	0
129,636	Female	38	1	28	0	> 2 Years	Yes	27,155	26	139	0
254,424	Female	25	1	8	0	< 1 Year	Yes	42,653	151	228	0
312,396	Male	26	1	33	1	< 1 Year	No	52,055	152	44	0
279,745	Female	51	1	4	0	1-2 Year	Yes	2,630	26	278	1
250,285	Male	58	1	28	0	1-2 Year	Yes	42,685	124	253	0
258,833	Male	29	1	18	0	< 1 Year	Yes	34,508	150	237	0
314,806	Female	27	1	11	0	< 1 Year	Yes	2,630	152	195	0
173,520	Male	26	1	15	1	< 1 Year	Yes	2,630	124	70	0
68,268	Male	64	1	27	0	1-2 Year	Yes	2,630	124	146	0
232,265	Female	21	1	35	1	< 1 Year	No	32,487	152	178	0
434,265	Female	47	1	46	1	1-2 Year	No	2,630	25	246	0
171,624	Male	67	1	33	1	1-2 Year	No	30,595	26	167	0
116,362	Male	25	1	28	1	< 1 Year	No	35,354	152	37	0
258,010	Female	54	1	28	0	> 2 Years	Yes	54,841	124	172	0
132,391	Male	40	1	36	0	1-2 Year	Yes	59,080	124	29	1
223,124	Male	41	1	28	1	1-2 Year	No	27,682	124	82	0
471,470	Male	27	1	46	1	< 1 Year	No	32,092	152	30	0
143,796	Female	22	1	9	0	< 1 Year	No	32,782	152	83	0
172,050	Male	21	1	46	0	< 1 Year	Yes	41,650	160	22	0
500,760	Male	46	1	28	1	1-2 Year	No	26,136	122	167	0
272,686	Female	54	1	8	0	1-2 Year	Yes	36,498	25	164	0
314,908	Female	28	1	30	1	< 1 Year	No	29,445	152	91	0
429,521	Female	29	1	28	0	< 1 Year	Yes	50,470	124	12	1
4,944	Male	24	1	15	1	< 1 Year	No	30,504	152	294	0
86,215	Male	64	1	30	1	1-2 Year	Yes	29,659	26	293	0
420,365	Male	49	1	28	1	1-2 Year	No	38,190	26	106	0
456,315	Female	28	1	33	1	< 1 Year	No	29,276	152	272	0
297,848	Male	43	1	8	0	1-2 Year	Yes	2,630	26	60	1
419,910	Male	53	1	28	0	1-2 Year	Yes	34,628	26	241	1
343,739	Female	55	1	28	0	1-2 Year	Yes	30,061	26	146	0
212,380	Male	23	1	15	1	< 1 Year	No	38,496	160	293	0
302,785	Female	38	1	28	0	1-2 Year	Yes	51,601	124	148	1
214,039	Female	25	1	27	1	< 1 Year	No	52,365	152	118	0
191,377	Male	25	1	28	1	< 1 Year	No	72,676	152	217	0
155,029	Male	30	1	28	0	< 1 Year	Yes	2,630	124	107	1
388,632	Female	26	1	29	1	< 1 Year	No	2,630	152	177	0

Subsets and Splits

No community queries yet

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