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
215,413	Male	27	1	29	1	< 1 Year	No	44,333	152	145	0
20,503	Male	58	1	28	1	1-2 Year	No	25,652	26	193	0
271,520	Female	45	1	8	0	1-2 Year	Yes	31,895	7	289	0
472,843	Female	43	1	35	0	1-2 Year	Yes	2,630	155	104	1
200,586	Male	41	1	8	0	1-2 Year	Yes	75,043	26	249	1
39,174	Male	40	1	28	1	1-2 Year	No	46,953	26	216	0
125,267	Male	49	1	8	0	1-2 Year	Yes	37,502	26	129	0
120,981	Female	23	1	39	1	< 1 Year	No	23,017	152	83	0
438,242	Female	27	1	35	1	< 1 Year	No	37,545	26	122	0
77,527	Male	48	1	8	0	1-2 Year	Yes	43,226	4	48	0
124,094	Male	58	1	47	0	1-2 Year	Yes	48,284	26	136	0
395,140	Female	23	1	11	1	< 1 Year	No	30,715	152	43	0
399,705	Male	28	1	28	1	< 1 Year	No	53,091	152	197	0
258,565	Male	23	1	8	0	< 1 Year	No	43,771	151	96	0
150,788	Female	33	1	2	1	< 1 Year	No	22,672	152	11	0
100,683	Male	43	1	28	0	1-2 Year	Yes	47,099	124	136	1
301,941	Female	22	1	6	1	< 1 Year	No	27,156	152	197	0
504,612	Female	40	1	28	0	1-2 Year	Yes	43,822	111	58	1
215,957	Female	35	1	28	0	1-2 Year	Yes	31,742	124	229	0
325,185	Female	38	1	46	0	1-2 Year	No	25,733	124	183	0
315,113	Male	40	1	28	0	1-2 Year	Yes	41,147	26	21	0
442,230	Female	27	1	3	1	< 1 Year	No	26,444	152	291	0
143,391	Female	73	1	28	1	1-2 Year	No	26,776	24	163	0
24,384	Female	55	1	28	0	1-2 Year	Yes	57,559	155	143	1
283,779	Male	31	1	35	0	< 1 Year	Yes	79,306	26	174	1
123,157	Male	22	1	28	1	< 1 Year	No	41,044	152	67	0
299,402	Male	23	1	28	1	< 1 Year	No	53,012	152	270	0
461,506	Male	22	1	15	1	< 1 Year	No	29,689	152	130	0
182,104	Male	35	1	8	0	1-2 Year	Yes	38,162	124	191	1
9,141	Male	56	1	28	0	> 2 Years	Yes	33,714	124	22	0
134,233	Male	23	1	5	1	< 1 Year	No	24,610	152	205	0
99,374	Male	22	1	7	1	< 1 Year	No	38,762	152	125	0
8,422	Male	52	1	29	0	1-2 Year	Yes	2,630	157	144	0
72,306	Male	27	1	28	0	< 1 Year	Yes	36,328	154	74	0
103,162	Male	40	1	28	0	1-2 Year	Yes	70,248	124	73	0
31,807	Female	38	1	28	0	1-2 Year	Yes	27,590	26	150	0
87,252	Male	46	1	25	0	1-2 Year	Yes	2,630	124	198	0
15,944	Male	29	1	8	0	< 1 Year	Yes	39,601	124	14	1
402,236	Male	23	1	8	1	< 1 Year	No	45,970	151	281	0
443,729	Female	20	1	12	1	< 1 Year	No	40,773	160	290	0
316,275	Male	24	1	28	1	< 1 Year	No	53,558	152	209	0
123,021	Male	24	1	30	1	< 1 Year	No	23,499	152	214	0
300,702	Male	21	1	49	1	< 1 Year	Yes	29,290	152	165	0
179,598	Male	21	1	8	0	< 1 Year	No	49,017	152	24	0
478,356	Male	43	1	28	1	1-2 Year	No	40,843	124	63	0
27,869	Male	46	1	33	0	1-2 Year	Yes	36,997	156	296	0
126,622	Female	46	1	29	0	1-2 Year	Yes	35,125	26	168	0
410,939	Female	26	1	8	1	< 1 Year	No	37,500	152	277	0
146,827	Female	24	1	15	1	< 1 Year	Yes	33,101	151	113	0
199,233	Male	24	1	15	1	< 1 Year	No	18,168	160	170	0
310,011	Male	25	1	30	1	< 1 Year	No	22,090	152	191	0
209,354	Female	22	1	15	0	< 1 Year	No	31,971	26	268	0
291,498	Female	22	1	41	0	< 1 Year	Yes	2,630	160	225	0
7,212	Female	32	1	28	0	1-2 Year	Yes	39,094	154	194	0
5,772	Female	23	1	8	1	< 1 Year	No	31,375	152	206	0
449,866	Male	23	1	6	1	< 1 Year	No	25,927	152	59	0
370,798	Female	23	1	8	1	< 1 Year	No	28,200	152	105	0
230,706	Female	42	1	28	0	1-2 Year	Yes	2,630	124	238	0
373,512	Female	24	1	30	1	< 1 Year	No	39,027	152	245	0
175,386	Male	24	1	10	1	< 1 Year	No	2,630	152	165	0
380,958	Male	36	1	8	0	1-2 Year	Yes	34,745	26	171	0
317,289	Female	30	1	23	1	< 1 Year	No	29,375	152	209	0
12,490	Female	26	1	8	1	< 1 Year	No	33,064	152	172	0
335,111	Male	64	1	34	0	1-2 Year	Yes	33,851	124	116	0
402,970	Female	22	1	14	1	< 1 Year	No	13,745	152	264	0
146,129	Male	60	1	28	1	1-2 Year	No	2,630	124	166	0
265,581	Male	50	1	28	0	> 2 Years	Yes	41,715	26	81	0
264,414	Male	57	1	0	0	1-2 Year	No	2,630	26	225	0
483,090	Male	49	1	50	1	1-2 Year	No	35,737	26	44	0
279,483	Female	51	1	28	0	1-2 Year	Yes	28,419	26	189	0
135,985	Female	24	1	2	1	< 1 Year	No	36,989	152	271	0
357,595	Female	26	1	28	1	< 1 Year	No	22,438	152	88	0
333,868	Female	22	1	41	1	< 1 Year	No	29,400	152	75	0
200,426	Male	27	1	19	1	< 1 Year	No	34,539	152	291	0
168,613	Female	45	1	46	0	1-2 Year	Yes	22,312	124	157	0
221,493	Male	78	1	45	0	1-2 Year	Yes	2,630	157	42	1
238,238	Female	23	1	25	1	< 1 Year	No	30,689	151	98	0
231,886	Male	74	1	29	1	1-2 Year	No	54,023	26	18	0
146,969	Male	56	1	28	0	1-2 Year	Yes	37,951	26	295	0
282,085	Male	23	1	22	0	< 1 Year	No	27,544	151	105	0
305,666	Male	47	1	46	0	1-2 Year	Yes	30,043	124	155	0
457,815	Female	44	1	28	1	1-2 Year	No	33,146	26	284	0
234,610	Male	32	1	41	0	< 1 Year	Yes	33,534	124	222	0
69,041	Male	28	1	37	1	< 1 Year	No	41,930	152	269	0
260,799	Female	50	1	28	0	1-2 Year	Yes	28,752	60	182	0
135,793	Female	23	1	12	0	< 1 Year	Yes	31,117	152	186	0
320,617	Male	61	1	8	0	1-2 Year	Yes	42,878	124	257	0
304,098	Female	24	1	3	1	< 1 Year	No	17,287	152	23	0
260,404	Male	45	1	46	0	1-2 Year	Yes	2,630	154	159	1
324,255	Male	24	1	44	0	< 1 Year	Yes	43,726	152	53	0
35,450	Female	64	1	28	0	1-2 Year	Yes	36,381	23	148	1
251,905	Female	21	1	41	0	< 1 Year	Yes	31,820	160	79	0
365,963	Male	22	1	22	1	< 1 Year	No	34,052	152	198	0
210,097	Male	25	1	14	1	< 1 Year	No	26,872	152	24	0
123,159	Female	33	1	50	1	< 1 Year	No	34,981	152	233	0
172,958	Female	25	1	39	0	1-2 Year	Yes	2,630	124	113	1
230,260	Female	45	1	8	0	1-2 Year	Yes	41,530	124	135	0
65,785	Male	42	1	39	0	1-2 Year	No	31,963	124	183	1
183,392	Female	21	1	28	0	< 1 Year	Yes	39,650	124	173	0
189,858	Female	26	1	50	1	< 1 Year	No	28,466	152	197	0

Subsets and Splits

No community queries yet

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