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
306,126	Female	23	1	47	0	< 1 Year	Yes	29,453	152	137	0
45,031	Male	23	1	29	1	< 1 Year	No	43,295	152	267	0
206,716	Female	26	1	41	1	< 1 Year	No	26,033	152	117	0
388,325	Female	22	1	30	1	< 1 Year	No	29,203	152	85	0
280,559	Female	53	1	17	1	1-2 Year	Yes	34,546	124	42	0
276,693	Female	35	1	34	0	1-2 Year	Yes	2,630	156	80	0
353,004	Male	37	1	28	0	1-2 Year	Yes	46,416	26	238	0
300,381	Male	35	1	17	0	1-2 Year	No	38,191	26	271	0
178,423	Female	26	1	41	1	< 1 Year	No	32,372	152	133	0
58,174	Female	32	1	28	0	1-2 Year	Yes	31,726	124	225	1
484,610	Male	44	1	41	1	1-2 Year	No	31,396	124	249	0
246,055	Female	55	1	28	0	1-2 Year	Yes	2,630	26	296	0
417,360	Female	22	1	17	1	< 1 Year	No	31,455	160	64	0
21,320	Male	37	1	12	0	1-2 Year	Yes	2,630	156	156	0
360,288	Male	47	1	28	0	> 2 Years	Yes	35,159	124	236	1
134,238	Male	23	1	11	1	< 1 Year	No	22,218	152	285	0
230,991	Female	34	1	15	1	1-2 Year	No	2,630	26	94	0
62,783	Male	21	1	45	0	< 1 Year	Yes	27,754	152	271	0
280,269	Female	22	1	15	0	< 1 Year	No	2,630	26	55	0
93,036	Female	45	1	28	1	1-2 Year	No	41,770	124	206	0
224,294	Female	24	1	15	0	< 1 Year	No	42,445	152	220	0
372,743	Female	24	1	11	1	< 1 Year	No	44,548	152	212	0
73,832	Male	55	1	48	0	1-2 Year	Yes	2,630	15	75	0
8,906	Female	21	1	43	0	1-2 Year	Yes	29,400	154	57	0
490,233	Male	55	1	28	0	1-2 Year	Yes	34,659	26	245	1
134,237	Male	47	1	28	0	> 2 Years	Yes	2,630	124	125	0
93,029	Female	29	1	30	1	< 1 Year	No	47,895	152	285	0
256,069	Female	48	1	36	1	1-2 Year	No	27,021	26	263	0
362,376	Male	47	1	33	0	> 2 Years	Yes	41,122	26	182	0
467,846	Female	25	1	35	1	< 1 Year	No	2,630	152	192	0
443,868	Female	22	1	8	1	< 1 Year	No	37,304	152	122	0
103,134	Female	29	1	30	1	< 1 Year	No	26,303	152	293	0
152,879	Female	40	1	14	0	1-2 Year	Yes	22,429	157	226	0
425,923	Male	24	1	41	1	< 1 Year	No	15,414	152	92	0
293,831	Male	38	1	8	0	1-2 Year	Yes	2,630	157	263	1
395,132	Female	20	1	46	1	< 1 Year	No	26,283	160	213	0
348,231	Male	22	1	39	0	< 1 Year	Yes	40,340	152	174	0
414,331	Male	48	1	8	0	1-2 Year	Yes	2,630	26	94	1
190,032	Male	22	1	15	1	< 1 Year	No	63,645	152	184	0
497,284	Female	29	1	32	1	< 1 Year	No	25,853	152	258	0
453,193	Female	24	1	30	1	< 1 Year	No	22,635	152	130	0
379,102	Male	21	1	37	0	< 1 Year	No	22,642	152	120	0
281,724	Female	21	1	27	0	< 1 Year	Yes	25,687	152	138	0
219,765	Male	41	1	45	0	1-2 Year	Yes	29,111	152	299	0
285,551	Male	21	1	8	0	< 1 Year	Yes	35,793	160	112	0
207,565	Male	23	1	3	1	< 1 Year	No	29,702	152	56	0
446,772	Female	28	1	35	0	< 1 Year	Yes	31,653	26	31	1
426,380	Female	34	1	14	0	1-2 Year	Yes	28,488	26	12	1
149,618	Female	24	1	29	1	< 1 Year	No	31,360	152	23	0
9,656	Female	66	1	11	0	> 2 Years	Yes	51,936	26	224	0
158,309	Male	30	1	8	1	< 1 Year	No	26,984	152	76	0
41,284	Female	30	1	28	1	< 1 Year	No	51,509	152	231	0
488,129	Female	48	1	43	1	1-2 Year	No	26,052	26	61	0
97,462	Male	24	1	36	1	< 1 Year	No	31,618	152	73	0
63,105	Female	25	1	8	1	< 1 Year	No	33,676	152	231	0
311,468	Male	48	1	47	0	1-2 Year	Yes	37,125	26	172	1
63,674	Male	49	1	3	1	1-2 Year	No	28,316	26	61	0
414,899	Male	41	1	33	0	1-2 Year	Yes	2,630	156	261	1
200,234	Female	26	1	15	1	< 1 Year	Yes	2,630	152	259	0
358,660	Female	34	1	28	1	1-2 Year	No	22,733	157	194	0
262,212	Male	26	1	11	1	< 1 Year	No	32,947	152	197	0
343,010	Female	30	1	21	1	< 1 Year	No	2,630	160	169	0
279,952	Female	54	1	41	0	1-2 Year	Yes	35,050	124	97	0
91,721	Male	46	1	8	1	1-2 Year	No	30,254	26	59	0
148,602	Female	54	1	23	0	1-2 Year	Yes	2,630	156	104	0
253,212	Male	46	1	35	1	1-2 Year	Yes	2,630	26	290	0
507,473	Female	23	1	41	1	< 1 Year	No	32,055	152	235	0
173,962	Male	78	1	28	0	1-2 Year	Yes	27,092	26	61	0
381,459	Female	22	1	11	1	< 1 Year	No	28,067	152	42	0
319,285	Male	42	1	35	1	1-2 Year	No	21,469	26	41	0
212,775	Female	36	1	35	0	1-2 Year	No	30,261	124	275	0
387,766	Male	51	1	7	0	1-2 Year	Yes	33,161	150	117	1
41,895	Male	27	1	41	1	1-2 Year	No	38,453	26	205	0
228,088	Female	45	1	28	0	1-2 Year	Yes	40,506	26	106	0
134,763	Female	21	1	33	1	< 1 Year	No	36,419	152	72	0
377,115	Male	58	1	23	0	1-2 Year	Yes	35,961	124	84	0
6,445	Male	56	1	28	0	1-2 Year	Yes	31,415	124	240	1
275,678	Male	44	1	8	0	1-2 Year	Yes	43,965	124	249	0
93,592	Female	24	1	28	0	< 1 Year	No	22,499	152	179	0
184,244	Female	43	1	17	1	1-2 Year	No	49,874	124	239	0
6,406	Male	59	1	3	0	1-2 Year	No	31,910	124	271	0
270,398	Male	22	1	26	1	< 1 Year	No	30,033	152	56	0
483,034	Male	76	1	28	1	1-2 Year	No	36,743	122	83	0
193,794	Male	23	1	50	1	< 1 Year	No	2,630	151	47	0
322,412	Male	25	1	41	0	< 1 Year	Yes	39,541	152	149	0
381,094	Female	22	1	28	1	< 1 Year	No	59,216	152	279	0
51,411	Female	38	1	46	0	1-2 Year	Yes	2,630	124	157	0
52,485	Female	22	1	36	0	< 1 Year	Yes	28,111	152	100	0
360,057	Female	32	1	18	0	1-2 Year	Yes	32,224	154	91	1
453,892	Male	24	1	35	1	< 1 Year	No	39,175	152	79	0
139,819	Female	42	1	50	1	1-2 Year	No	23,874	26	249	0
345,423	Male	26	1	8	1	< 1 Year	No	35,710	152	139	0
184,425	Female	40	1	14	0	1-2 Year	Yes	26,547	154	151	0
433,594	Female	24	1	6	1	< 1 Year	No	2,630	152	27	0
21,309	Female	53	1	28	0	1-2 Year	Yes	80,310	124	67	1
448,886	Male	58	1	8	1	1-2 Year	No	28,330	4	230	0
427,209	Male	45	1	28	0	> 2 Years	Yes	53,850	26	119	1
155,639	Female	51	1	46	0	1-2 Year	Yes	2,630	163	20	0
404,767	Male	40	1	28	0	1-2 Year	Yes	38,832	26	158	1
194,077	Female	26	1	41	1	< 1 Year	No	40,846	152	33	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.