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
225,931	Male	74	1	15	1	1-2 Year	No	52,721	14	230	0
119,399	Male	21	1	30	0	< 1 Year	Yes	28,920	152	61	0
372,097	Female	39	1	38	0	1-2 Year	Yes	2,630	157	32	0
318,360	Male	37	1	28	0	1-2 Year	Yes	37,872	124	68	1
23,987	Female	22	1	33	1	< 1 Year	No	28,134	152	220	0
165,125	Female	23	1	28	1	< 1 Year	No	51,015	152	230	0
309,978	Male	33	1	41	1	< 1 Year	No	27,263	152	65	0
77,076	Female	22	1	8	1	< 1 Year	No	50,891	160	45	0
879	Female	52	1	11	0	1-2 Year	Yes	2,630	156	195	0
249,238	Male	44	1	33	1	1-2 Year	No	36,561	124	206	0
383,589	Male	43	1	8	0	1-2 Year	Yes	30,635	124	15	1
114,347	Male	26	1	46	1	< 1 Year	No	31,156	152	203	0
346,942	Male	26	1	29	0	< 1 Year	Yes	58,240	152	84	0
207,687	Female	25	1	46	0	< 1 Year	Yes	24,555	152	220	0
287,103	Male	23	1	46	1	< 1 Year	No	47,071	152	77	0
492,042	Female	23	1	30	1	< 1 Year	No	22,499	152	105	0
406,929	Female	77	0	8	1	1-2 Year	No	47,409	26	139	0
152,250	Female	22	1	25	1	< 1 Year	No	40,026	152	167	0
194,860	Female	24	1	13	1	< 1 Year	Yes	20,627	151	59	0
326,708	Female	61	1	8	1	1-2 Year	No	44,171	26	268	0
297,955	Male	38	1	50	0	1-2 Year	Yes	2,630	26	245	1
256,864	Female	24	1	46	1	< 1 Year	No	41,374	152	108	0
108,753	Male	58	1	28	0	1-2 Year	Yes	41,031	26	40	0
500,260	Female	22	1	6	1	< 1 Year	No	27,620	152	29	0
188,718	Female	25	1	45	1	< 1 Year	No	30,397	152	187	0
264,289	Female	52	1	28	0	> 2 Years	Yes	43,274	25	67	1
247,651	Female	28	1	29	1	< 1 Year	No	27,909	152	291	0
65,183	Male	53	1	28	0	> 2 Years	Yes	29,617	7	196	1
96,879	Male	47	1	45	0	> 2 Years	Yes	27,653	26	235	1
258,011	Male	29	1	45	0	< 1 Year	Yes	2,630	160	150	1
60,116	Male	37	1	27	0	> 2 Years	Yes	2,630	124	278	0
146,450	Male	26	1	8	1	< 1 Year	No	32,629	152	291	0
123,885	Male	28	1	21	1	< 1 Year	No	27,206	152	279	0
370,821	Male	55	1	7	0	1-2 Year	Yes	2,630	26	248	0
6,584	Female	79	1	28	0	1-2 Year	Yes	31,577	24	285	0
476,827	Male	49	1	28	1	1-2 Year	No	45,856	124	39	0
5,523	Female	26	1	28	0	< 1 Year	Yes	42,152	147	30	0
294,287	Male	51	1	29	0	1-2 Year	Yes	36,449	26	262	0
366,856	Female	22	1	2	1	< 1 Year	No	28,708	152	156	0
18,946	Male	57	1	50	0	1-2 Year	Yes	32,861	26	229	0
132,651	Male	41	1	28	0	1-2 Year	Yes	46,719	124	44	0
370,517	Female	40	1	28	1	1-2 Year	No	35,592	26	101	0
278,124	Male	36	1	8	1	1-2 Year	No	31,171	124	117	0
231,863	Female	40	1	28	0	1-2 Year	Yes	31,906	124	115	0
123,381	Male	48	1	50	0	1-2 Year	No	21,449	124	151	0
338,260	Male	35	1	8	1	1-2 Year	No	22,395	19	185	0
197,414	Male	24	1	13	1	< 1 Year	Yes	2,630	160	86	0
306,722	Female	43	1	28	0	> 2 Years	Yes	58,291	122	229	0
356,946	Female	26	1	48	0	< 1 Year	No	2,630	152	109	0
313,704	Female	37	1	30	0	1-2 Year	Yes	30,204	124	126	0
314,178	Female	25	1	46	0	< 1 Year	Yes	26,716	152	61	0
377,810	Male	34	1	28	0	1-2 Year	Yes	36,787	163	280	0
496,551	Male	23	1	3	1	< 1 Year	No	22,648	152	111	0
65,408	Female	25	1	15	0	< 1 Year	Yes	33,243	152	68	0
213,080	Female	48	1	28	0	1-2 Year	Yes	46,645	124	85	0
281,936	Female	40	1	28	1	1-2 Year	No	29,697	152	73	0
49,404	Female	26	1	15	0	< 1 Year	Yes	2,630	152	122	1
304,696	Male	41	1	15	0	1-2 Year	No	24,226	124	287	0
457,527	Female	26	1	47	1	< 1 Year	No	31,702	152	279	0
390,509	Female	48	1	28	1	1-2 Year	No	29,842	26	247	0
201,092	Female	22	1	35	1	< 1 Year	Yes	29,449	152	92	0
14,949	Male	32	1	46	1	< 1 Year	No	18,034	152	219	0
410,993	Male	25	1	6	1	< 1 Year	No	26,245	152	291	0
58,158	Male	31	1	35	1	< 1 Year	No	42,987	152	200	0
399,708	Female	31	1	15	1	< 1 Year	No	30,643	152	180	0
150,799	Male	43	1	28	0	1-2 Year	Yes	36,398	26	26	1
299,069	Male	25	1	11	0	< 1 Year	Yes	28,614	152	143	0
217,897	Female	56	1	8	0	1-2 Year	Yes	60,954	30	157	0
308,297	Male	40	1	8	0	1-2 Year	No	38,412	124	200	0
315,673	Female	71	1	39	1	1-2 Year	No	31,392	127	221	0
153,804	Male	24	1	36	0	< 1 Year	Yes	48,838	160	297	0
390,452	Male	52	1	15	0	1-2 Year	Yes	44,033	26	263	1
56,107	Male	22	1	31	0	< 1 Year	Yes	2,630	160	122	0
183,615	Male	48	1	8	1	1-2 Year	No	88,811	154	83	0
318,258	Male	44	1	45	0	1-2 Year	Yes	25,619	124	256	1
295,131	Male	28	1	46	1	< 1 Year	No	29,337	152	299	0
78,757	Male	72	1	28	1	1-2 Year	No	43,166	26	155	0
394,019	Female	20	1	45	1	< 1 Year	No	26,350	160	253	0
136,136	Male	69	1	50	0	1-2 Year	Yes	48,065	124	141	0
503,731	Male	45	1	28	1	1-2 Year	No	29,601	26	211	0
443,341	Male	27	1	33	1	< 1 Year	No	35,679	152	66	0
349,051	Female	51	1	28	1	1-2 Year	No	34,245	26	246	0
243,719	Female	23	1	31	1	< 1 Year	No	2,630	152	150	0
84,535	Male	65	1	8	0	> 2 Years	Yes	33,904	30	74	0
95,007	Female	63	1	12	0	1-2 Year	Yes	33,913	124	12	0
95,507	Female	45	1	39	0	1-2 Year	Yes	2,630	124	200	1
93,131	Male	59	1	8	0	1-2 Year	No	40,606	124	69	0
171,096	Male	50	1	28	0	1-2 Year	Yes	32,570	26	45	0
1,034	Female	22	1	28	1	< 1 Year	No	29,540	152	122	0
165,423	Female	72	1	32	0	1-2 Year	Yes	21,245	156	197	0
290	Male	64	1	8	0	1-2 Year	Yes	2,630	124	293	0
257,039	Female	62	1	50	0	1-2 Year	Yes	35,047	124	274	0
7,248	Female	21	1	46	1	< 1 Year	No	35,107	160	240	0
65,131	Female	39	1	28	0	1-2 Year	Yes	2,630	154	15	0
169,190	Male	63	1	39	0	1-2 Year	No	49,443	26	273	0
302,945	Male	27	1	41	1	< 1 Year	Yes	2,630	160	275	0
225,966	Male	25	1	35	1	< 1 Year	No	28,861	152	209	0
504,482	Male	44	1	28	0	1-2 Year	Yes	28,258	124	205	1
26,537	Female	43	1	28	0	> 2 Years	Yes	33,377	26	102	1
480,992	Male	45	1	15	0	1-2 Year	Yes	35,938	124	133	1

Subsets and Splits

No community queries yet

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