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
249,801	Male	40	1	28	0	1-2 Year	Yes	46,968	124	277	0
306,136	Female	45	1	28	1	1-2 Year	No	34,435	122	92	0
275,716	Male	28	1	21	1	< 1 Year	No	33,523	151	56	0
224,819	Male	38	1	18	0	1-2 Year	Yes	31,197	26	209	1
153,501	Female	22	1	28	0	< 1 Year	Yes	38,864	152	61	0
22,032	Male	25	1	3	1	< 1 Year	No	33,578	152	87	0
211,663	Male	23	1	37	0	< 1 Year	Yes	38,361	152	164	1
219,735	Female	53	1	28	0	1-2 Year	Yes	38,402	124	52	0
209,214	Male	53	1	28	1	1-2 Year	No	25,575	26	214	0
169,346	Female	31	1	29	1	< 1 Year	No	29,723	152	183	0
109,971	Male	42	1	28	0	1-2 Year	Yes	40,120	124	237	0
305,212	Male	28	1	11	1	< 1 Year	No	40,919	152	193	0
16,072	Female	23	1	10	1	< 1 Year	No	2,630	160	217	0
487,020	Female	49	1	11	0	1-2 Year	Yes	36,787	26	125	1
40,973	Female	41	1	28	0	1-2 Year	Yes	48,897	124	141	1
111,880	Male	40	1	30	0	1-2 Year	Yes	38,831	131	159	0
117,524	Female	29	1	3	0	< 1 Year	Yes	23,206	157	69	1
409,875	Male	48	1	28	0	1-2 Year	Yes	22,726	122	169	1
47,925	Female	30	1	3	1	< 1 Year	No	33,589	152	236	0
259,812	Male	50	1	36	0	1-2 Year	Yes	38,391	154	96	0
24,436	Female	41	1	28	1	1-2 Year	No	26,583	124	238	0
88,059	Male	64	1	28	1	1-2 Year	No	24,299	26	263	0
141,795	Female	44	1	28	0	1-2 Year	No	43,007	26	39	0
143,159	Male	32	1	30	0	< 1 Year	Yes	24,408	152	134	1
157,832	Male	20	1	43	0	< 1 Year	Yes	38,335	160	13	0
262,244	Female	62	1	28	0	1-2 Year	Yes	39,827	25	169	0
469,899	Female	62	1	8	1	1-2 Year	No	32,389	7	113	0
424,292	Male	25	1	16	1	< 1 Year	No	32,812	152	22	0
191,051	Male	31	1	7	1	< 1 Year	No	2,630	152	92	0
467,593	Female	23	1	13	1	< 1 Year	No	30,385	152	125	0
373,934	Female	29	1	8	1	< 1 Year	No	39,503	152	158	0
302,990	Male	41	1	0	0	1-2 Year	Yes	2,630	122	211	1
230,189	Male	24	1	8	0	< 1 Year	Yes	31,697	152	179	0
357,464	Male	72	1	48	1	1-2 Year	No	2,630	26	268	0
11,662	Female	40	1	31	0	1-2 Year	Yes	2,630	26	158	0
435,026	Female	24	1	36	1	< 1 Year	No	45,428	152	199	0
354,172	Female	37	1	8	0	1-2 Year	Yes	28,415	26	36	1
156,155	Female	50	1	46	0	1-2 Year	Yes	26,275	26	161	1
314,877	Female	25	1	28	1	< 1 Year	No	40,858	152	90	0
287,994	Female	69	1	41	1	1-2 Year	No	45,878	120	205	0
44,030	Male	57	1	2	0	1-2 Year	Yes	42,619	124	60	0
18,762	Male	77	1	7	0	1-2 Year	Yes	2,630	3	88	0
165,775	Male	32	1	13	0	< 1 Year	Yes	29,239	124	125	0
269,683	Female	53	1	28	0	> 2 Years	Yes	28,220	26	80	0
286,468	Male	69	1	28	0	1-2 Year	Yes	57,310	26	97	0
239,676	Male	54	1	7	0	1-2 Year	Yes	39,894	3	257	1
246,262	Female	68	1	17	1	1-2 Year	No	29,591	124	204	0
92,154	Female	48	1	28	0	1-2 Year	Yes	45,134	124	224	0
367,261	Male	29	1	30	1	< 1 Year	No	29,627	152	155	0
29,963	Male	22	1	46	1	< 1 Year	No	31,322	152	73	0
49,907	Male	26	1	46	0	< 1 Year	Yes	28,689	152	59	0
322,984	Female	25	1	5	0	< 1 Year	Yes	37,029	152	49	0
347,629	Male	23	1	27	1	< 1 Year	No	24,325	152	167	0
217,989	Male	60	1	28	0	1-2 Year	Yes	41,924	25	141	0
408,552	Male	42	1	28	0	1-2 Year	Yes	39,422	26	267	1
361,308	Female	21	1	33	1	< 1 Year	No	56,416	152	132	0
265,575	Female	35	1	8	0	1-2 Year	Yes	86,082	124	161	0
172,739	Male	44	1	8	0	1-2 Year	Yes	35,418	24	149	1
234,414	Female	25	1	46	1	< 1 Year	No	35,724	152	245	0
500,477	Male	43	1	2	0	1-2 Year	Yes	27,913	26	213	1
136,811	Female	65	1	11	1	1-2 Year	No	2,630	26	179	0
342,974	Female	26	1	33	1	< 1 Year	No	29,629	152	119	0
42,903	Female	26	1	32	0	< 1 Year	Yes	26,352	26	266	0
145,654	Female	23	1	25	1	< 1 Year	No	26,112	152	137	0
354,790	Male	47	1	50	1	1-2 Year	No	24,701	152	120	0
125,612	Female	56	1	46	0	1-2 Year	No	2,630	124	282	0
185,726	Female	44	1	15	0	1-2 Year	Yes	36,225	124	64	1
394,245	Male	42	1	41	0	1-2 Year	Yes	37,337	124	182	1
150,218	Male	52	1	48	0	1-2 Year	Yes	2,630	124	194	0
306,161	Female	22	1	26	1	< 1 Year	No	28,970	152	40	0
507,843	Female	25	1	3	1	< 1 Year	No	2,630	160	104	0
40,320	Female	24	1	41	1	< 1 Year	No	44,199	152	108	0
374,429	Female	42	1	8	0	1-2 Year	Yes	2,630	124	64	1
333,983	Female	48	1	28	0	1-2 Year	Yes	43,335	124	265	1
296,213	Female	40	1	33	0	1-2 Year	Yes	38,993	124	71	0
378,976	Female	56	1	36	1	1-2 Year	No	2,630	26	196	0
423,402	Female	45	1	8	0	1-2 Year	Yes	41,535	26	10	1
223,521	Male	30	1	8	0	1-2 Year	Yes	33,204	154	101	0
470,723	Female	23	1	1	1	< 1 Year	No	2,630	152	70	0
123,229	Male	22	1	26	0	< 1 Year	No	30,045	152	275	0
398,305	Male	29	1	3	1	< 1 Year	No	28,203	152	67	0
243,912	Female	26	1	8	1	< 1 Year	No	24,769	152	153	0
127,179	Female	28	1	41	0	< 1 Year	Yes	32,252	152	207	1
292,621	Male	24	1	31	0	< 1 Year	Yes	2,630	160	120	1
196,542	Female	45	1	15	1	1-2 Year	No	2,630	124	63	0
325,602	Male	51	1	30	1	1-2 Year	No	30,077	152	236	0
149,659	Female	21	1	50	1	< 1 Year	No	34,685	152	133	0
206,070	Male	55	1	28	0	1-2 Year	Yes	61,096	124	30	0
169,301	Female	38	1	3	0	1-2 Year	Yes	2,630	154	26	0
437,133	Male	43	1	28	0	1-2 Year	Yes	64,244	26	289	1
357,921	Male	62	1	2	1	1-2 Year	No	36,924	152	288	0
339,628	Male	57	1	28	0	1-2 Year	Yes	94,581	26	238	1
113,420	Male	39	1	18	1	1-2 Year	No	26,951	124	51	0
216,042	Male	49	1	28	1	1-2 Year	No	38,223	60	214	0
233,401	Male	44	1	28	0	1-2 Year	Yes	53,087	26	252	0
314,954	Female	32	1	8	0	< 1 Year	Yes	58,055	26	297	1
91,831	Male	20	1	19	0	1-2 Year	Yes	2,630	156	257	0
119,598	Female	48	1	28	0	1-2 Year	Yes	31,815	13	175	0
50,601	Male	21	1	28	0	< 1 Year	Yes	54,806	26	212	0
187,856	Male	38	1	28	1	1-2 Year	No	28,283	26	155	0

Subsets and Splits

No community queries yet

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