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
259,118	Female	25	1	3	1	< 1 Year	No	19,917	152	59	0
30,785	Female	26	1	36	1	< 1 Year	No	27,872	152	271	0
37,178	Female	21	1	28	1	< 1 Year	No	26,899	152	220	0
322,894	Female	29	1	8	1	< 1 Year	No	41,326	152	31	0
215,965	Female	21	1	30	1	< 1 Year	No	2,630	156	37	0
174,550	Male	21	1	50	1	< 1 Year	No	27,238	152	52	0
475,000	Female	23	1	2	1	< 1 Year	No	29,931	152	250	0
283,993	Male	27	1	28	1	< 1 Year	No	42,531	26	183	0
304,466	Male	23	1	40	0	< 1 Year	No	44,446	151	87	0
307,584	Male	45	1	47	0	1-2 Year	Yes	27,962	26	172	0
307,427	Female	31	1	8	0	1-2 Year	Yes	2,630	157	145	0
43,424	Male	23	1	46	0	< 1 Year	Yes	2,630	152	169	0
355,150	Male	49	1	28	1	1-2 Year	No	29,942	26	233	0
440,458	Female	64	1	3	1	1-2 Year	No	27,308	124	150	0
372,130	Female	62	1	47	1	1-2 Year	Yes	35,996	26	151	0
167,575	Male	39	1	28	0	1-2 Year	Yes	34,628	26	36	0
8,634	Female	23	1	37	1	< 1 Year	No	55,169	152	156	0
225,679	Female	43	1	46	1	1-2 Year	No	49,782	124	69	0
202,689	Male	51	1	28	0	1-2 Year	Yes	45,468	26	245	0
398,291	Male	28	1	28	1	< 1 Year	No	29,054	152	234	0
328,470	Female	64	1	28	0	1-2 Year	Yes	47,767	26	104	0
421,262	Male	48	1	29	0	1-2 Year	Yes	35,054	26	283	1
2,653	Male	24	1	6	0	< 1 Year	Yes	30,986	152	166	0
267,883	Male	40	1	28	0	1-2 Year	Yes	34,803	124	21	1
203,358	Male	23	1	47	1	< 1 Year	No	37,143	152	157	0
352,530	Female	46	1	13	1	1-2 Year	No	26,297	26	44	0
373,214	Male	58	1	9	1	1-2 Year	No	42,717	26	121	0
192,091	Male	49	1	28	0	1-2 Year	Yes	29,850	26	102	0
34,842	Female	50	1	28	0	> 2 Years	Yes	30,884	26	37	0
190,136	Male	29	1	11	1	< 1 Year	No	2,630	160	64	0
333,882	Male	49	1	28	0	1-2 Year	Yes	41,358	124	249	1
213,383	Male	41	1	28	1	1-2 Year	No	30,518	124	26	0
379,771	Male	23	1	50	0	< 1 Year	Yes	30,057	26	167	0
248,528	Female	48	1	9	1	1-2 Year	No	45,566	124	47	0
457,020	Male	46	1	29	0	1-2 Year	Yes	40,150	26	88	1
364,213	Female	53	1	28	0	1-2 Year	Yes	33,459	26	246	0
440,231	Female	22	1	29	1	< 1 Year	No	26,396	152	264	0
31,997	Female	26	1	29	1	< 1 Year	No	32,401	152	159	0
103,861	Female	25	1	3	0	< 1 Year	Yes	41,454	152	215	0
143,929	Male	39	1	8	0	1-2 Year	No	38,151	124	260	0
240,547	Female	22	1	14	0	< 1 Year	Yes	2,630	124	50	0
183,048	Female	28	1	28	1	< 1 Year	No	23,873	152	69	0
144,424	Male	24	1	11	1	< 1 Year	No	39,405	152	115	0
292,327	Male	67	1	47	0	> 2 Years	Yes	31,777	26	130	1
375,899	Male	24	1	8	1	< 1 Year	No	37,820	152	133	0
318,936	Male	49	1	27	0	1-2 Year	Yes	35,789	124	162	0
464,595	Female	23	1	3	1	< 1 Year	No	37,323	152	204	0
290,346	Female	58	1	48	0	1-2 Year	Yes	2,630	122	190	0
404	Male	49	1	28	0	1-2 Year	Yes	37,214	26	158	1
3,518	Male	52	1	8	1	1-2 Year	No	22,015	124	30	0
266,363	Female	25	1	3	0	< 1 Year	No	31,769	152	219	0
495,484	Male	49	1	41	0	1-2 Year	Yes	33,047	124	69	1
147,342	Female	39	1	41	0	1-2 Year	Yes	30,476	124	138	0
157,479	Female	38	1	31	0	1-2 Year	Yes	2,630	26	87	1
132,406	Female	48	1	46	0	1-2 Year	Yes	25,615	11	60	1
154,575	Female	24	1	8	1	< 1 Year	No	23,800	152	276	0
457,411	Female	40	1	29	0	1-2 Year	Yes	30,026	124	271	1
90,528	Female	29	1	18	1	< 1 Year	No	24,808	152	15	0
289,538	Female	20	1	50	0	< 1 Year	Yes	27,387	160	175	0
374,435	Male	46	1	12	0	1-2 Year	Yes	25,663	26	63	1
121,235	Male	24	1	41	1	< 1 Year	No	28,753	152	235	0
384,541	Female	42	1	28	1	1-2 Year	No	48,401	26	56	0
106,706	Male	27	1	32	1	< 1 Year	No	29,073	152	119	0
127,492	Male	50	1	28	0	1-2 Year	Yes	43,035	4	116	1
411,199	Female	22	1	35	1	< 1 Year	No	29,945	152	135	0
505,503	Male	21	1	8	1	< 1 Year	No	41,329	160	103	0
183,585	Male	20	1	35	0	< 1 Year	No	2,630	160	126	0
505,365	Female	24	1	8	1	< 1 Year	No	37,296	152	126	0
306,023	Female	30	1	28	0	1-2 Year	Yes	30,618	124	284	0
479,789	Male	53	1	2	1	1-2 Year	No	2,630	26	208	0
198,991	Male	56	1	28	0	1-2 Year	Yes	37,198	26	133	0
186,110	Male	28	1	46	0	< 1 Year	Yes	28,831	152	96	0
165,879	Female	58	1	28	0	1-2 Year	Yes	32,064	26	291	0
121,638	Male	21	1	30	0	< 1 Year	Yes	25,583	152	77	0
381,149	Male	51	1	28	1	1-2 Year	No	40,224	26	198	0
236,451	Male	75	1	28	0	1-2 Year	Yes	29,776	26	292	0
505,712	Male	43	1	7	1	1-2 Year	No	29,668	124	164	0
98,285	Male	57	1	8	0	1-2 Year	Yes	33,017	163	10	0
237,248	Male	25	1	3	1	< 1 Year	No	26,396	152	101	0
431,779	Female	31	1	41	1	< 1 Year	No	29,409	160	141	0
210,588	Male	49	1	28	0	1-2 Year	Yes	2,630	26	103	0
452,948	Female	59	1	41	1	1-2 Year	No	52,769	124	193	0
391,558	Male	36	1	11	0	1-2 Year	Yes	25,457	120	113	1
329,770	Male	24	1	3	1	< 1 Year	No	24,700	152	158	0
370,596	Female	31	1	48	0	1-2 Year	Yes	2,630	156	167	1
97,932	Female	20	1	28	0	< 1 Year	Yes	45,861	160	49	0
324,940	Female	77	1	28	1	1-2 Year	No	53,795	26	298	0
78,922	Female	23	1	39	0	< 1 Year	Yes	38,279	152	165	0
233,799	Female	36	1	41	1	1-2 Year	No	23,199	152	116	0
36,504	Male	46	1	36	0	1-2 Year	Yes	36,240	26	210	0
126,604	Male	74	1	28	0	> 2 Years	Yes	42,180	147	189	0
270,953	Male	58	1	28	1	1-2 Year	No	31,856	122	271	0
137,052	Male	26	1	8	1	< 1 Year	No	90,515	152	50	0
238,054	Male	34	1	28	0	1-2 Year	Yes	28,887	29	169	0
32,288	Female	20	1	26	0	< 1 Year	Yes	49,488	160	217	0
412,294	Male	27	1	46	1	< 1 Year	No	25,009	152	25	0
294,114	Male	23	1	10	0	< 1 Year	Yes	34,584	152	148	0
187,634	Female	25	1	30	1	< 1 Year	No	32,434	152	144	0
185,393	Female	43	1	28	0	1-2 Year	Yes	46,664	155	85	1
269,070	Female	23	1	50	0	< 1 Year	Yes	35,936	152	222	0

Subsets and Splits

No community queries yet

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