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
493,492	Male	24	1	46	1	< 1 Year	No	26,791	152	26	0
112,816	Male	24	1	8	0	< 1 Year	Yes	34,865	152	107	0
478,700	Male	44	1	46	0	1-2 Year	Yes	32,978	124	46	1
349,344	Male	20	1	46	0	< 1 Year	Yes	22,717	160	152	0
316,821	Female	45	1	38	0	1-2 Year	Yes	29,410	156	119	0
433,426	Male	79	1	20	1	1-2 Year	Yes	2,630	26	160	0
366,650	Male	25	1	46	1	< 1 Year	No	55,440	152	147	0
80,001	Male	44	1	8	0	> 2 Years	Yes	42,709	124	142	0
386,657	Female	22	1	27	1	< 1 Year	No	2,630	152	106	0
317,603	Female	58	1	8	1	1-2 Year	No	48,097	7	189	0
373,625	Female	36	1	12	0	1-2 Year	Yes	2,630	157	166	0
254,743	Male	47	1	33	1	1-2 Year	No	32,673	26	120	0
246,110	Male	39	1	43	1	1-2 Year	No	27,598	26	106	0
216,068	Male	56	1	49	0	1-2 Year	No	26,625	124	105	0
32,691	Male	27	1	41	1	< 1 Year	No	23,597	152	271	0
174,501	Male	38	1	28	0	1-2 Year	Yes	2,630	156	86	0
26,452	Female	25	1	14	0	< 1 Year	Yes	23,060	152	194	0
385,459	Male	44	1	46	0	1-2 Year	Yes	2,630	124	98	1
206,386	Female	25	1	3	1	< 1 Year	No	31,097	152	66	0
428,696	Female	26	1	30	1	< 1 Year	No	45,670	152	61	0
229,488	Male	32	1	35	1	< 1 Year	No	52,451	152	207	0
30,443	Female	26	1	30	0	< 1 Year	Yes	30,964	124	150	1
299,221	Male	47	1	28	0	1-2 Year	Yes	33,230	155	113	1
189,529	Female	45	1	41	1	1-2 Year	No	28,083	26	117	0
195,274	Male	21	1	28	0	1-2 Year	Yes	26,649	124	49	0
151,298	Male	66	1	29	0	1-2 Year	Yes	2,630	157	276	0
164,937	Male	55	1	28	1	1-2 Year	No	65,361	124	164	0
180,558	Male	24	1	29	1	< 1 Year	No	59,030	152	244	0
329,552	Male	38	1	28	0	1-2 Year	Yes	2,630	124	288	1
21,119	Male	34	1	28	1	1-2 Year	No	48,209	125	179	0
115,341	Male	61	1	28	0	> 2 Years	Yes	51,096	26	211	1
50,573	Male	42	1	28	0	1-2 Year	Yes	46,211	124	214	1
376,866	Female	25	1	8	0	< 1 Year	No	31,000	160	82	0
236,077	Female	43	1	39	0	1-2 Year	Yes	25,199	124	48	0
398,112	Male	52	1	2	0	1-2 Year	Yes	2,630	157	221	1
115,649	Male	20	1	27	1	< 1 Year	No	32,491	160	10	0
30,235	Female	51	1	36	0	> 2 Years	Yes	2,630	26	151	0
50,966	Male	22	1	11	1	< 1 Year	No	22,036	152	208	0
35,848	Female	39	1	28	1	1-2 Year	Yes	38,225	26	162	0
408,343	Male	27	1	30	1	< 1 Year	No	23,692	152	100	0
256,902	Male	23	1	41	1	< 1 Year	No	33,510	152	139	0
382,281	Female	24	1	30	1	< 1 Year	No	22,313	152	30	0
273,075	Female	75	1	28	0	1-2 Year	Yes	49,603	157	129	1
297,561	Female	31	1	1	0	< 1 Year	Yes	2,630	26	292	0
62,412	Male	22	1	29	1	< 1 Year	No	35,782	156	131	0
122,405	Female	25	1	41	1	< 1 Year	No	44,255	152	204	0
255,388	Male	27	1	21	1	< 1 Year	No	24,952	152	77	0
342,947	Female	31	1	50	1	< 1 Year	No	33,970	152	270	0
474,550	Female	27	1	50	1	< 1 Year	No	29,547	152	163	0
321,937	Male	39	1	50	0	1-2 Year	Yes	49,296	124	65	0
14,740	Male	48	1	28	1	1-2 Year	No	25,797	124	36	0
99,014	Male	46	1	9	0	1-2 Year	Yes	30,491	124	279	0
137,512	Male	28	1	3	1	< 1 Year	No	31,354	152	79	0
112,975	Female	62	1	28	0	1-2 Year	Yes	39,823	26	28	0
303,812	Male	74	1	39	1	1-2 Year	Yes	30,902	26	172	0
174,294	Male	74	1	47	1	1-2 Year	Yes	2,630	30	61	0
340,031	Male	41	1	28	0	1-2 Year	Yes	35,827	124	39	1
129,531	Male	29	1	28	1	< 1 Year	No	53,216	152	19	0
313,900	Male	27	1	45	1	< 1 Year	No	31,030	151	96	0
209,288	Female	46	1	18	0	1-2 Year	Yes	37,189	124	118	1
248,245	Male	49	1	13	1	1-2 Year	No	30,286	26	103	0
384,472	Female	25	1	41	1	< 1 Year	No	18,925	152	161	0
315,249	Male	53	1	46	0	1-2 Year	Yes	2,630	156	38	1
282,926	Female	25	1	14	1	< 1 Year	No	40,674	152	162	0
135,243	Female	53	1	20	0	1-2 Year	Yes	2,630	122	97	0
346,341	Female	54	1	0	0	< 1 Year	Yes	2,630	26	28	1
27,607	Male	29	1	15	1	< 1 Year	No	2,630	152	62	0
32,630	Male	23	1	3	1	< 1 Year	No	29,745	152	187	0
119,793	Female	46	1	28	1	1-2 Year	No	26,902	29	14	0
179,305	Female	46	1	25	0	1-2 Year	Yes	30,882	26	150	0
151,742	Male	38	1	28	1	1-2 Year	No	2,630	61	92	0
66,539	Female	58	1	28	0	1-2 Year	Yes	51,766	124	91	1
472,281	Female	22	1	25	1	< 1 Year	No	26,145	152	86	0
43,557	Male	24	1	46	1	< 1 Year	No	29,751	152	36	0
133,620	Female	23	1	36	1	< 1 Year	No	32,255	152	284	0
221,653	Female	41	1	8	0	1-2 Year	Yes	30,806	11	198	0
140,878	Female	42	1	33	0	1-2 Year	Yes	37,157	124	283	0
283,672	Male	28	1	46	1	< 1 Year	Yes	30,892	160	215	0
148,117	Male	22	1	45	0	< 1 Year	Yes	35,340	152	100	0
304,504	Female	26	1	41	1	< 1 Year	No	35,019	152	146	0
315,601	Male	63	1	35	0	1-2 Year	No	43,693	26	177	0
73,525	Female	46	1	28	0	1-2 Year	Yes	30,086	13	90	1
243,382	Female	24	1	28	1	< 1 Year	No	41,801	152	250	0
349,569	Female	24	1	25	1	< 1 Year	No	44,078	152	142	0
233,016	Male	33	1	39	1	1-2 Year	No	30,451	26	38	0
237,781	Male	22	1	24	1	< 1 Year	No	19,594	26	194	0
89,506	Male	49	1	29	0	1-2 Year	Yes	54,979	124	274	1
413,987	Male	45	1	28	0	1-2 Year	Yes	32,259	26	19	1
348,431	Female	29	1	28	0	1-2 Year	Yes	42,637	154	178	1
132,247	Female	31	1	41	1	< 1 Year	No	44,307	156	50	0
373,516	Male	20	1	46	0	1-2 Year	Yes	51,475	157	232	0
319,065	Male	21	1	50	1	< 1 Year	No	44,968	160	263	0
313,035	Female	24	1	30	1	< 1 Year	No	27,662	152	34	0
105,769	Female	48	1	10	0	1-2 Year	Yes	2,630	124	68	1
369,288	Male	45	1	28	0	1-2 Year	Yes	39,522	26	255	0
76,570	Female	29	1	41	1	< 1 Year	No	2,630	152	214	0
279,557	Female	34	1	28	0	1-2 Year	Yes	42,301	122	293	0
99,259	Male	53	1	8	0	1-2 Year	Yes	51,292	26	125	0
13,374	Female	58	1	41	1	1-2 Year	No	46,368	124	259	0
419,148	Female	43	1	28	0	1-2 Year	Yes	39,770	26	195	1

Subsets and Splits

No saved queries yet

Save your SQL queries to embed, download, and access them later. Queries will appear here once saved.