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
348,345	Male	26	1	15	0	< 1 Year	Yes	2,630	152	27	0
310,949	Female	38	1	28	1	1-2 Year	No	47,105	124	176	0
299,005	Female	34	1	39	1	1-2 Year	No	2,630	152	149	0
193	Male	32	1	46	1	< 1 Year	No	23,847	152	183	0
287,546	Male	21	1	28	1	< 1 Year	No	38,859	160	178	0
402,138	Male	22	1	15	1	< 1 Year	No	28,064	152	119	0
195,851	Female	80	1	28	1	1-2 Year	No	25,614	26	195	0
425,471	Male	51	1	28	0	1-2 Year	Yes	40,906	26	131	1
339,322	Female	23	1	12	1	< 1 Year	No	25,438	152	114	0
339,861	Female	21	1	5	0	< 1 Year	Yes	35,298	160	99	0
262,996	Male	44	1	28	0	1-2 Year	Yes	30,636	122	196	0
49,557	Male	21	1	39	1	< 1 Year	No	32,344	160	40	0
348,055	Female	53	1	41	0	1-2 Year	Yes	32,663	26	57	0
58,055	Male	42	1	28	0	1-2 Year	No	31,197	124	64	0
219,373	Male	24	1	36	1	< 1 Year	No	25,477	160	237	0
194,042	Male	25	1	28	1	< 1 Year	No	55,858	152	199	0
261,198	Female	26	1	47	1	< 1 Year	No	31,458	152	219	0
158,897	Male	60	1	10	1	1-2 Year	No	2,630	156	49	0
31,630	Male	26	1	27	1	< 1 Year	No	27,964	152	193	0
85,079	Male	63	1	35	1	1-2 Year	No	40,334	152	121	0
363,505	Female	25	1	35	1	< 1 Year	No	64,886	152	107	0
108,641	Male	40	1	47	0	1-2 Year	Yes	2,630	163	224	0
333,153	Female	21	1	46	0	< 1 Year	Yes	19,362	152	85	1
306,344	Female	24	1	36	1	< 1 Year	No	28,857	152	211	0
497,078	Female	26	1	29	1	< 1 Year	No	31,785	152	175	0
225,258	Male	74	1	29	0	1-2 Year	Yes	22,688	124	83	0
311,568	Female	24	1	46	1	< 1 Year	No	25,532	160	236	0
417,352	Female	45	1	28	0	1-2 Year	Yes	37,453	124	151	1
222,143	Female	26	1	8	1	< 1 Year	No	31,314	152	125	0
222,181	Male	59	1	46	0	1-2 Year	Yes	41,422	26	178	0
360,425	Male	28	1	11	0	< 1 Year	Yes	27,091	152	87	0
230,469	Male	39	1	28	1	1-2 Year	Yes	2,630	156	231	0
409,819	Female	45	1	28	0	1-2 Year	Yes	38,822	26	278	1
288,485	Male	21	1	49	0	< 1 Year	No	28,856	160	162	0
231,129	Male	41	1	41	0	1-2 Year	Yes	23,114	156	281	1
113,092	Female	20	1	37	0	< 1 Year	Yes	2,630	160	22	0
134,318	Female	37	1	48	0	1-2 Year	Yes	2,630	156	63	0
467,406	Female	48	1	17	0	> 2 Years	Yes	34,433	26	48	1
299,310	Male	27	1	12	0	< 1 Year	Yes	19,270	152	124	0
183,126	Female	24	1	8	1	< 1 Year	No	30,980	152	217	0
303,097	Male	65	1	28	0	1-2 Year	No	44,602	26	76	0
375,921	Male	46	1	21	0	1-2 Year	Yes	42,162	124	276	0
494,633	Male	36	1	28	0	1-2 Year	Yes	42,392	124	102	1
173,934	Female	60	1	39	1	1-2 Year	No	25,391	122	19	0
328,802	Female	23	1	46	0	< 1 Year	Yes	23,248	160	207	0
246,500	Female	47	1	8	1	1-2 Year	No	39,408	157	192	0
451,661	Male	48	1	3	0	1-2 Year	Yes	43,875	124	171	1
81,275	Female	27	1	28	1	< 1 Year	No	38,887	152	286	0
415,339	Female	24	1	29	1	< 1 Year	No	35,243	152	48	0
90,172	Female	37	1	28	0	1-2 Year	Yes	2,630	124	209	0
175,594	Male	45	1	46	0	1-2 Year	Yes	46,532	26	120	0
110,186	Male	64	1	28	0	1-2 Year	Yes	29,444	26	124	0
81,687	Male	22	1	30	0	< 1 Year	No	18,381	152	93	1
165,949	Male	39	1	23	0	1-2 Year	Yes	23,670	124	272	0
316,289	Female	22	1	45	1	< 1 Year	No	25,619	152	65	0
461,569	Female	23	1	33	1	< 1 Year	No	37,468	152	288	0
427,025	Female	27	1	10	1	< 1 Year	No	26,011	152	43	0
161,806	Male	32	1	29	0	< 1 Year	Yes	31,124	156	155	0
247,434	Male	34	1	29	0	1-2 Year	Yes	2,630	26	86	0
433,611	Male	26	1	21	1	< 1 Year	No	25,988	152	184	0
51,721	Male	51	1	40	0	1-2 Year	Yes	36,213	25	299	0
132,345	Male	21	1	7	0	1-2 Year	Yes	2,630	156	135	1
81,484	Male	50	1	18	0	1-2 Year	Yes	22,842	163	138	1
7,014	Female	29	1	38	1	1-2 Year	No	2,630	124	53	0
166,324	Male	46	1	3	0	1-2 Year	Yes	40,421	124	22	0
386,678	Female	31	1	8	1	1-2 Year	No	47,804	150	255	0
317,101	Female	22	1	28	0	< 1 Year	Yes	48,577	152	257	0
423,071	Male	53	1	28	1	1-2 Year	No	43,071	61	272	0
130,294	Female	24	1	45	0	< 1 Year	Yes	24,210	152	251	1
38,770	Female	30	1	29	1	< 1 Year	No	2,630	152	290	0
320,281	Female	28	1	6	1	< 1 Year	No	57,842	152	104	0
120,714	Female	23	1	4	1	< 1 Year	No	28,748	152	155	0
432,521	Male	25	1	11	1	< 1 Year	No	41,002	152	259	0
157,687	Male	54	1	34	0	1-2 Year	Yes	26,374	26	48	0
189,389	Male	70	1	28	0	1-2 Year	Yes	52,566	26	292	0
337,753	Female	56	1	28	0	> 2 Years	Yes	37,896	124	246	0
342,055	Female	44	1	28	0	1-2 Year	Yes	36,370	124	40	1
171,584	Male	26	1	28	1	< 1 Year	No	32,023	152	220	0
414,242	Female	22	1	8	1	< 1 Year	No	25,801	152	51	0
280,123	Female	49	1	28	0	1-2 Year	Yes	25,667	156	181	0
240,263	Female	21	1	18	1	< 1 Year	No	25,668	152	165	0
148,738	Female	52	1	48	1	1-2 Year	No	2,630	26	247	0
304,857	Male	69	1	28	0	1-2 Year	Yes	34,122	26	283	0
237,612	Female	23	1	8	1	< 1 Year	No	54,384	152	141	0
130,789	Female	23	1	8	1	< 1 Year	No	34,307	152	16	0
133,024	Male	70	1	28	1	1-2 Year	No	34,766	152	242	0
116,042	Male	49	1	8	0	1-2 Year	Yes	51,739	124	180	0
48,362	Male	52	1	31	0	1-2 Year	Yes	2,630	26	13	0
150,652	Female	26	1	8	1	< 1 Year	No	76,598	152	278	0
264,700	Male	38	1	8	1	1-2 Year	Yes	2,630	26	86	0
427,129	Male	43	1	28	0	1-2 Year	Yes	36,743	154	209	1
350,389	Male	24	1	50	1	< 1 Year	No	48,027	152	99	0
27,393	Female	44	1	28	0	1-2 Year	Yes	40,787	29	169	1
45,036	Male	39	1	3	1	1-2 Year	No	25,458	124	192	0
267,925	Female	27	1	8	0	< 1 Year	Yes	40,209	152	242	0
103,874	Male	38	1	35	1	1-2 Year	No	41,274	152	89	0
336,343	Female	65	1	28	0	> 2 Years	Yes	35,031	122	103	0
83,619	Female	58	1	28	0	1-2 Year	Yes	42,152	124	271	0
311,793	Male	33	1	28	1	1-2 Year	No	40,627	124	197	0
260,268	Female	26	1	34	0	< 1 Year	No	26,434	152	75	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.