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
124,241	Male	46	1	28	0	1-2 Year	Yes	42,654	26	45	1
169,806	Male	44	1	28	0	1-2 Year	Yes	37,597	26	209	1
397,141	Male	22	1	8	1	< 1 Year	No	36,742	152	105	0
90,110	Male	26	1	11	1	< 1 Year	No	34,603	152	71	0
14,962	Male	21	1	15	1	< 1 Year	No	54,366	152	128	0
164,692	Male	22	1	30	0	< 1 Year	Yes	40,907	152	166	0
323,541	Male	43	1	48	0	1-2 Year	Yes	2,630	154	37	0
340,638	Male	48	1	50	0	> 2 Years	Yes	2,630	124	102	0
209,809	Female	30	1	28	1	1-2 Year	Yes	30,040	26	240	0
475,694	Male	37	1	16	0	1-2 Year	Yes	23,656	124	116	1
26,725	Male	25	1	36	1	< 1 Year	No	32,907	152	31	0
372,799	Male	24	1	6	1	< 1 Year	No	28,667	152	290	0
479,094	Male	29	1	34	1	1-2 Year	No	2,630	26	143	0
494,056	Female	36	1	41	1	1-2 Year	No	2,630	26	83	0
490,084	Male	20	1	3	1	< 1 Year	No	18,390	160	43	0
472,430	Male	68	1	50	1	1-2 Year	No	49,389	26	280	0
154,008	Female	25	1	41	1	< 1 Year	Yes	32,438	152	158	0
86,518	Female	80	1	41	0	1-2 Year	Yes	25,048	26	163	1
126,662	Male	58	1	8	1	1-2 Year	No	39,388	124	119	0
124,459	Female	56	1	28	0	1-2 Year	Yes	39,802	26	213	0
8,315	Female	56	1	46	0	1-2 Year	Yes	2,630	152	53	0
331,544	Female	33	1	17	0	< 1 Year	Yes	2,630	124	286	1
282,635	Female	35	1	41	0	1-2 Year	No	23,526	154	259	1
301,398	Female	25	1	46	1	< 1 Year	No	30,060	152	111	0
133,597	Female	23	1	46	1	< 1 Year	No	32,191	152	262	0
202,759	Female	47	1	17	1	1-2 Year	No	26,730	26	298	0
263,618	Female	25	1	28	0	< 1 Year	Yes	41,464	152	152	1
110,442	Female	24	1	30	0	< 1 Year	No	2,630	152	222	0
473,421	Male	21	1	8	1	< 1 Year	No	46,156	160	122	0
159,022	Male	52	1	30	0	1-2 Year	Yes	30,368	124	39	0
93,659	Male	48	1	8	0	1-2 Year	Yes	44,999	26	77	0
441,486	Female	27	1	3	1	< 1 Year	No	22,873	152	101	0
386,030	Male	40	1	8	0	1-2 Year	Yes	54,372	124	106	1
92,783	Male	67	1	38	0	1-2 Year	Yes	26,790	26	283	0
146,995	Female	64	1	50	0	1-2 Year	Yes	39,432	8	221	0
797	Male	26	1	27	1	< 1 Year	No	49,625	152	151	0
92,005	Female	58	1	8	0	1-2 Year	No	51,281	7	43	0
145,760	Female	40	1	28	0	1-2 Year	Yes	2,630	26	252	0
195,550	Male	44	1	17	1	1-2 Year	No	29,591	124	10	0
328,300	Male	70	1	28	1	1-2 Year	No	58,958	26	218	0
39,435	Male	32	1	43	0	< 1 Year	Yes	34,347	150	145	0
329,188	Female	28	1	28	1	< 1 Year	No	40,416	152	148	0
256,114	Female	28	1	15	1	< 1 Year	No	30,321	152	10	0
285,211	Male	20	1	46	0	< 1 Year	Yes	43,520	160	66	0
460,770	Female	25	1	8	1	< 1 Year	No	44,812	152	121	0
103,448	Male	51	1	28	0	1-2 Year	Yes	43,685	124	195	0
50,576	Male	63	1	28	0	> 2 Years	Yes	54,476	52	59	0
451,853	Male	30	1	28	0	1-2 Year	Yes	31,322	124	72	1
319,330	Female	63	1	46	1	1-2 Year	No	30,601	124	97	0
450,214	Female	31	1	28	0	< 1 Year	Yes	45,932	124	264	1
11,089	Female	26	1	21	1	< 1 Year	No	23,252	152	63	0
430,680	Female	28	1	17	1	< 1 Year	No	30,305	152	254	0
422,459	Female	23	1	29	1	< 1 Year	No	38,406	152	185	0
249,359	Female	56	1	9	1	1-2 Year	No	28,954	26	253	0
185,664	Male	60	1	41	1	1-2 Year	No	28,560	124	126	0
110,079	Male	23	1	27	0	< 1 Year	Yes	33,809	151	156	0
263,536	Female	64	1	37	1	1-2 Year	No	37,153	128	294	0
82,555	Female	27	1	11	1	< 1 Year	No	36,281	152	216	0
212,297	Male	24	1	41	1	< 1 Year	No	2,630	160	207	0
202,656	Male	73	1	8	1	1-2 Year	No	46,195	26	60	0
75,850	Male	23	1	15	1	< 1 Year	No	29,354	152	285	0
397,022	Female	56	1	28	0	1-2 Year	Yes	38,080	26	203	1
312,957	Female	23	1	29	1	< 1 Year	No	30,586	152	174	0
413,906	Female	22	1	28	1	< 1 Year	No	63,233	152	154	0
219,115	Female	23	1	30	1	< 1 Year	No	25,525	152	24	0
12,206	Female	28	1	29	1	< 1 Year	No	33,385	160	155	0
248,053	Male	22	1	6	1	< 1 Year	No	24,429	152	281	0
370,721	Female	52	1	28	0	1-2 Year	Yes	45,756	122	208	1
295,296	Male	36	1	28	0	1-2 Year	Yes	31,535	31	152	0
318,336	Female	23	1	46	1	< 1 Year	No	28,139	152	72	0
400,920	Male	24	1	26	1	< 1 Year	No	40,880	152	207	0
124,650	Male	47	1	28	0	1-2 Year	Yes	46,299	26	182	0
47,604	Female	29	1	41	1	< 1 Year	No	41,476	152	37	0
340,208	Female	65	1	8	0	1-2 Year	Yes	32,278	124	236	0
363,208	Female	28	1	46	1	< 1 Year	No	29,575	152	102	0
231,751	Male	56	1	45	1	1-2 Year	Yes	37,601	26	275	0
450,127	Female	37	1	28	0	1-2 Year	Yes	31,757	31	83	1
302,880	Male	21	1	35	0	< 1 Year	Yes	38,934	152	299	0
156,477	Male	26	1	8	1	< 1 Year	No	22,002	152	266	0
375,175	Male	24	1	33	1	< 1 Year	No	41,455	152	191	0
464,096	Male	24	1	13	1	< 1 Year	No	26,137	160	134	0
12,393	Male	25	1	30	1	< 1 Year	No	38,708	152	169	0
88,360	Male	50	1	28	0	1-2 Year	Yes	57,016	150	60	0
28,766	Male	60	1	35	0	1-2 Year	Yes	23,105	124	287	1
152,312	Male	29	1	19	0	< 1 Year	Yes	2,630	156	12	0
299,323	Female	72	1	28	1	1-2 Year	No	20,017	26	139	0
219,551	Male	54	1	14	1	1-2 Year	No	2,630	124	246	0
215,429	Male	38	1	38	0	1-2 Year	Yes	23,505	124	239	0
25,076	Male	46	1	10	0	1-2 Year	Yes	42,397	124	32	0
65,695	Female	23	1	36	1	< 1 Year	No	2,630	151	185	0
363,657	Male	40	1	47	0	1-2 Year	Yes	29,615	26	47	0
213,699	Female	23	1	46	0	< 1 Year	Yes	27,351	124	286	0
5,711	Male	42	1	13	0	1-2 Year	Yes	26,512	26	200	0
11,831	Male	23	1	49	0	< 1 Year	Yes	31,429	152	72	0
227,012	Male	24	1	41	1	< 1 Year	No	39,859	152	105	0
25,224	Female	35	1	28	0	1-2 Year	Yes	2,630	124	65	0
298,368	Male	44	1	28	0	1-2 Year	Yes	35,866	124	44	0
327,659	Male	24	1	17	1	< 1 Year	No	31,241	152	191	0
41,770	Female	25	1	34	0	< 1 Year	Yes	2,630	160	267	0
370,255	Female	39	1	47	0	1-2 Year	Yes	35,699	156	142	0

Subsets and Splits

No saved queries yet

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