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
29,993	Male	40	1	28	1	1-2 Year	No	29,932	124	276	0
217,851	Male	48	1	21	0	1-2 Year	Yes	20,827	26	261	1
381,769	Male	70	1	8	1	1-2 Year	No	35,846	26	181	0
377,142	Male	73	1	41	1	1-2 Year	No	44,579	12	28	0
379,969	Female	47	1	28	0	1-2 Year	Yes	2,630	26	104	0
257,864	Female	24	1	45	1	< 1 Year	No	15,030	152	62	0
310,598	Male	26	1	36	1	< 1 Year	No	29,639	152	196	0
377,153	Female	21	1	47	0	< 1 Year	Yes	54,593	160	69	0
304,628	Male	24	1	8	1	< 1 Year	No	27,635	152	275	0
426,308	Male	41	1	28	0	1-2 Year	Yes	25,780	26	209	1
265,534	Female	47	1	28	1	1-2 Year	No	46,275	26	35	0
7,264	Female	75	1	38	0	1-2 Year	Yes	31,908	124	207	0
81,919	Female	25	1	29	1	< 1 Year	No	33,531	152	214	0
131,045	Female	39	1	28	0	1-2 Year	Yes	24,436	26	162	0
412,120	Female	56	1	28	1	1-2 Year	No	56,332	52	221	0
1,442	Male	49	1	28	0	1-2 Year	Yes	46,524	26	109	0
344,777	Female	42	1	28	0	1-2 Year	Yes	25,284	124	135	1
265,715	Female	23	1	41	1	< 1 Year	No	2,630	152	218	0
295,267	Female	23	1	12	1	< 1 Year	No	29,268	152	100	0
44,770	Female	55	1	28	1	1-2 Year	No	41,501	26	76	0
353,578	Male	24	1	35	1	< 1 Year	No	22,376	152	216	0
355,894	Male	50	1	41	1	1-2 Year	No	25,995	26	80	0
191,612	Female	27	1	3	0	1-2 Year	Yes	2,630	124	140	0
257,805	Male	56	1	4	0	1-2 Year	Yes	29,313	26	13	0
371,593	Female	26	1	45	1	< 1 Year	No	29,936	152	291	0
288,171	Male	22	1	30	1	< 1 Year	No	41,515	152	232	0
380,382	Female	31	1	38	0	< 1 Year	No	2,630	154	207	0
369,881	Male	38	1	0	0	1-2 Year	Yes	2,630	26	140	0
89,441	Female	65	1	39	1	1-2 Year	No	29,923	124	186	0
395,710	Female	21	1	33	1	< 1 Year	No	35,526	152	219	0
264,085	Male	28	1	46	1	< 1 Year	No	29,101	152	272	0
57,865	Female	36	1	41	0	1-2 Year	Yes	37,542	12	55	0
433,176	Male	30	1	46	1	< 1 Year	No	29,259	152	208	0
339,407	Female	30	1	28	0	< 1 Year	Yes	56,584	152	95	0
458,371	Female	67	1	28	1	1-2 Year	No	27,009	122	68	0
338,251	Male	27	1	46	1	< 1 Year	No	20,277	152	245	0
266,489	Female	41	1	50	0	1-2 Year	Yes	30,639	163	44	1
271,509	Male	55	1	28	0	1-2 Year	No	45,837	26	149	0
287,496	Male	27	1	41	1	< 1 Year	No	28,352	152	107	0
50,950	Male	24	1	8	1	< 1 Year	No	37,707	152	77	0
312,865	Female	47	1	8	0	1-2 Year	Yes	39,649	4	162	1
275,571	Male	46	1	33	0	1-2 Year	Yes	28,272	26	71	0
180,180	Female	51	1	28	0	1-2 Year	Yes	53,394	42	110	1
26,346	Male	56	1	11	1	1-2 Year	No	2,630	124	244	0
76,180	Male	59	1	28	0	1-2 Year	Yes	38,119	26	211	1
303,692	Female	26	1	28	1	< 1 Year	No	46,495	152	280	0
371,542	Female	28	1	28	0	< 1 Year	Yes	44,386	124	281	0
249,821	Male	67	1	48	1	1-2 Year	No	2,630	124	158	0
379,215	Female	31	1	28	0	1-2 Year	No	2,630	157	254	0
150,168	Female	49	1	8	0	1-2 Year	Yes	34,749	26	198	0
353,545	Female	70	1	28	1	1-2 Year	No	97,068	26	217	0
242,991	Male	65	1	45	0	1-2 Year	Yes	39,458	124	201	0
18,724	Male	23	1	43	1	< 1 Year	No	35,541	152	214	0
287,766	Male	24	1	29	1	< 1 Year	No	28,991	152	184	0
94,492	Female	25	1	8	1	< 1 Year	No	45,606	151	240	0
505,189	Female	33	1	46	1	< 1 Year	No	25,523	26	160	0
182,004	Male	54	1	40	0	1-2 Year	Yes	2,630	156	239	1
175,560	Female	37	1	39	1	1-2 Year	No	32,238	124	70	0
327,627	Male	58	0	48	0	1-2 Year	Yes	2,630	26	147	0
198,365	Female	20	1	31	0	> 2 Years	Yes	2,630	156	228	0
293,305	Female	52	1	29	1	1-2 Year	No	25,811	152	24	0
53,145	Female	30	1	30	1	< 1 Year	No	52,646	152	59	0
271,861	Female	42	1	28	0	1-2 Year	Yes	2,630	156	23	1
503,422	Male	61	1	28	0	> 2 Years	Yes	57,617	26	80	1
77,011	Male	24	1	8	1	< 1 Year	No	32,042	160	186	0
244,620	Male	58	1	14	1	1-2 Year	No	40,888	26	152	0
79,343	Male	23	1	17	0	< 1 Year	Yes	19,428	152	115	1
335,119	Female	49	1	28	0	1-2 Year	Yes	29,706	51	178	0
171,255	Male	56	1	13	1	1-2 Year	No	35,752	26	218	0
107,620	Male	62	1	38	0	1-2 Year	Yes	2,630	116	42	0
120,333	Female	25	1	14	1	< 1 Year	No	24,910	152	278	0
399,817	Male	41	1	28	0	1-2 Year	Yes	2,630	124	60	1
251,960	Male	56	1	28	0	1-2 Year	Yes	79,939	124	254	0
234,330	Male	53	1	28	0	1-2 Year	Yes	38,907	124	289	0
327,184	Female	22	1	28	0	< 1 Year	Yes	46,608	152	145	1
303,005	Male	24	1	33	1	< 1 Year	No	30,858	151	88	0
214,285	Male	25	1	30	1	< 1 Year	No	26,888	152	161	0
372,099	Male	23	1	12	1	< 1 Year	No	54,895	152	141	0
179,522	Female	25	1	10	0	< 1 Year	Yes	32,619	152	115	0
486,531	Female	23	1	46	1	< 1 Year	No	31,290	152	35	0
112,869	Male	28	1	46	0	< 1 Year	Yes	2,630	152	73	0
344,142	Female	24	1	50	1	< 1 Year	No	33,521	152	36	0
305,970	Male	36	1	28	0	1-2 Year	Yes	27,722	163	94	0
375,138	Female	37	1	28	0	1-2 Year	Yes	50,992	13	228	0
68,226	Male	50	1	8	0	> 2 Years	Yes	2,630	26	37	1
280,865	Female	34	1	29	1	1-2 Year	No	33,584	152	134	0
217,159	Female	49	1	15	0	1-2 Year	Yes	34,594	86	158	0
72,624	Male	40	1	8	1	1-2 Year	No	40,897	7	14	0
9,122	Male	49	1	28	0	1-2 Year	Yes	58,404	26	258	0
461,619	Male	21	1	35	1	< 1 Year	No	40,667	26	260	0
90,831	Female	49	1	28	0	> 2 Years	Yes	2,630	157	99	0
118,793	Male	47	1	28	0	1-2 Year	Yes	39,399	56	83	1
98,656	Female	43	1	45	0	1-2 Year	Yes	2,630	157	129	0
448,803	Male	40	1	47	0	1-2 Year	Yes	35,628	124	178	1
493,344	Male	57	1	28	0	> 2 Years	Yes	43,070	26	27	1
64,862	Female	41	1	28	0	1-2 Year	Yes	32,239	124	136	0
338,588	Female	21	1	46	1	< 1 Year	No	34,294	160	42	0
190,358	Female	58	1	9	1	1-2 Year	No	41,329	124	34	0
276,954	Male	51	1	28	1	1-2 Year	No	58,567	26	204	0
396,807	Male	48	1	28	0	1-2 Year	Yes	34,627	26	261	1

Subsets and Splits

No community queries yet

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