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
198,347	Male	35	1	28	1	1-2 Year	No	2,630	124	129	0
484	Female	44	1	28	0	1-2 Year	Yes	52,593	26	30	1
249,042	Male	26	1	41	1	< 1 Year	No	2,630	152	155	0
492,675	Male	25	1	28	0	1-2 Year	Yes	2,630	124	155	1
309,184	Male	35	1	3	0	1-2 Year	Yes	26,235	124	284	1
397,158	Male	25	1	35	1	< 1 Year	No	33,917	26	187	0
30,156	Female	53	1	4	1	1-2 Year	No	2,630	152	129	0
367,000	Male	25	1	8	1	< 1 Year	No	53,281	152	116	0
237,030	Female	23	1	37	1	< 1 Year	No	24,835	152	151	0
102,423	Male	26	1	8	1	< 1 Year	No	34,321	152	63	0
451,749	Male	42	1	14	0	1-2 Year	Yes	2,630	157	150	1
364,871	Female	26	1	29	1	< 1 Year	No	37,335	152	261	0
264,394	Female	63	1	28	1	1-2 Year	No	34,367	24	37	0
262,079	Female	27	1	35	0	< 1 Year	Yes	24,150	26	167	1
152,459	Male	42	1	33	0	1-2 Year	Yes	28,728	124	24	0
345,671	Male	60	1	28	0	1-2 Year	Yes	45,820	26	233	0
433,048	Male	44	1	28	0	1-2 Year	Yes	42,330	26	232	1
313,137	Female	32	1	28	1	1-2 Year	No	2,630	124	40	0
141,858	Female	44	1	28	0	1-2 Year	Yes	51,318	122	283	0
251,967	Male	24	1	36	1	< 1 Year	No	35,893	152	69	0
162,058	Female	62	1	28	0	1-2 Year	Yes	59,029	26	92	0
256,989	Male	24	1	28	1	< 1 Year	No	2,630	152	110	0
192,127	Female	22	1	46	0	< 1 Year	Yes	34,078	152	284	0
8,817	Female	77	1	28	1	1-2 Year	No	32,051	22	276	0
222,014	Female	22	1	41	0	< 1 Year	Yes	33,154	152	219	0
378,985	Male	35	1	28	0	> 2 Years	Yes	41,158	26	107	1
244,669	Male	51	1	41	0	> 2 Years	Yes	41,419	124	86	0
381,880	Female	22	1	16	1	< 1 Year	No	18,538	26	281	0
81,692	Male	23	1	8	1	< 1 Year	No	34,226	152	236	0
270,373	Female	23	1	41	0	< 1 Year	No	24,182	152	65	0
227,744	Male	23	1	49	1	< 1 Year	No	32,200	152	81	0
91,007	Male	24	1	9	0	< 1 Year	Yes	37,343	124	295	0
130,405	Male	61	1	28	0	1-2 Year	Yes	30,036	124	71	0
79,049	Female	24	1	41	0	< 1 Year	No	29,686	152	66	0
86,255	Male	71	1	33	1	1-2 Year	No	54,702	124	165	0
249,729	Male	37	1	19	0	1-2 Year	Yes	2,630	154	31	0
5,846	Male	22	1	14	0	< 1 Year	No	23,955	152	161	0
248,600	Male	29	1	3	1	1-2 Year	No	24,339	124	139	0
222,427	Female	20	1	35	1	< 1 Year	No	29,396	160	24	0
11,213	Male	28	1	8	1	< 1 Year	No	41,650	152	184	0
136,492	Female	25	1	3	1	< 1 Year	No	2,630	160	185	0
88,705	Male	39	1	35	0	1-2 Year	Yes	30,206	26	165	0
71,450	Male	53	1	47	0	1-2 Year	Yes	34,706	26	226	0
372,391	Female	50	1	28	0	1-2 Year	Yes	2,630	26	189	0
277,654	Male	48	1	18	0	1-2 Year	Yes	2,630	156	250	1
478,927	Male	71	1	28	1	1-2 Year	No	21,765	26	51	0
326,600	Male	28	1	30	1	< 1 Year	No	29,519	152	21	0
280,479	Male	25	1	8	0	< 1 Year	Yes	27,603	152	235	0
162,981	Male	26	1	46	0	< 1 Year	Yes	24,600	154	121	0
240,979	Male	46	1	46	1	1-2 Year	No	2,630	26	24	0
345,287	Female	31	1	28	1	< 1 Year	No	27,156	152	243	0
270,664	Male	41	1	15	1	1-2 Year	No	27,409	14	278	0
25,509	Female	26	1	30	1	< 1 Year	No	24,404	152	268	0
132,180	Male	20	1	30	1	< 1 Year	No	2,630	160	158	0
237,907	Female	22	1	15	0	< 1 Year	Yes	34,218	152	70	0
122,074	Male	74	1	28	0	1-2 Year	Yes	34,272	122	70	0
117,355	Male	25	1	21	0	< 1 Year	Yes	22,124	152	192	1
108,679	Male	52	1	28	0	1-2 Year	Yes	34,308	26	132	1
245,004	Female	26	1	17	0	1-2 Year	Yes	67,317	124	238	0
26,392	Male	28	1	28	0	< 1 Year	Yes	44,881	26	137	0
315,318	Male	48	1	18	0	1-2 Year	Yes	36,567	124	129	1
468,935	Male	23	1	8	1	< 1 Year	No	64,435	152	258	0
501,237	Female	22	1	30	1	< 1 Year	No	2,630	160	228	0
104,465	Male	22	1	17	1	< 1 Year	No	2,630	26	165	0
32,615	Male	42	1	47	1	1-2 Year	No	28,361	26	112	0
31,247	Female	23	1	7	1	< 1 Year	No	2,630	151	43	0
152,041	Female	22	1	3	1	< 1 Year	No	44,507	152	198	0
182,483	Male	47	1	7	0	1-2 Year	Yes	2,630	156	243	1
261,771	Female	50	1	8	0	1-2 Year	No	46,604	124	173	0
94,711	Female	21	1	28	0	< 1 Year	Yes	2,630	158	285	1
368,037	Female	39	1	15	0	1-2 Year	Yes	2,630	157	62	0
433,535	Male	26	1	2	1	< 1 Year	No	29,013	152	100	0
198,502	Male	24	1	30	0	< 1 Year	No	35,229	152	42	0
160,765	Male	43	1	46	0	1-2 Year	Yes	24,922	26	149	0
17,631	Male	26	1	41	1	< 1 Year	No	33,449	152	217	0
461,373	Male	47	1	28	0	1-2 Year	Yes	83,683	26	39	1
495,924	Female	24	1	41	1	< 1 Year	No	26,136	152	153	0
493,216	Female	44	1	28	0	1-2 Year	Yes	47,849	26	255	1
315,244	Male	37	1	18	0	< 1 Year	No	2,630	1	199	0
74,888	Female	41	1	28	1	1-2 Year	No	31,686	26	211	0
51,751	Male	57	1	28	0	> 2 Years	Yes	49,234	122	204	0
217,550	Male	30	1	41	1	< 1 Year	No	21,136	152	189	0
505,669	Male	72	1	41	1	1-2 Year	No	2,630	26	50	0
184,603	Female	71	1	28	0	1-2 Year	Yes	47,797	157	77	0
265,236	Female	29	1	10	1	1-2 Year	No	2,630	155	77	0
483,324	Female	22	1	6	1	< 1 Year	No	38,517	152	67	0
76,980	Female	35	1	28	1	1-2 Year	No	30,595	152	44	0
354,086	Male	22	1	2	0	< 1 Year	Yes	33,018	152	75	0
90,484	Male	56	1	28	0	1-2 Year	Yes	32,684	124	51	0
241,754	Female	66	1	28	0	> 2 Years	Yes	69,955	26	44	0
332,669	Female	31	1	36	0	1-2 Year	Yes	28,071	124	296	0
132	Female	27	1	28	1	< 1 Year	No	30,005	152	92	0
234,246	Male	34	1	48	1	1-2 Year	No	2,630	157	36	0
163,259	Male	48	1	30	0	1-2 Year	Yes	30,670	26	272	0
244,435	Female	41	1	28	1	1-2 Year	No	40,697	124	167	0
173,302	Male	51	1	24	1	1-2 Year	No	27,864	124	214	0
489,127	Male	39	1	28	0	1-2 Year	Yes	36,578	26	250	1
222,130	Female	75	1	28	0	> 2 Years	Yes	46,575	26	119	0
63,788	Female	36	1	9	1	1-2 Year	No	29,811	151	289	0
437,959	Female	35	1	15	0	1-2 Year	Yes	33,293	124	299	1

Subsets and Splits

No community queries yet

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