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
113,849	Female	71	1	50	0	1-2 Year	Yes	45,732	30	204	0
197,918	Male	22	1	17	1	< 1 Year	No	29,276	152	219	0
113,089	Female	48	1	2	1	1-2 Year	No	2,630	124	113	0
149,292	Male	21	1	9	0	< 1 Year	Yes	36,324	152	194	1
401,518	Male	22	1	40	1	< 1 Year	No	42,623	152	266	0
431,220	Female	21	1	47	1	< 1 Year	No	34,253	160	85	0
111,700	Male	47	1	8	0	> 2 Years	Yes	45,910	26	77	0
46,113	Female	36	1	28	0	> 2 Years	Yes	35,845	26	286	0
80,357	Female	21	1	11	1	< 1 Year	No	46,220	160	95	0
505,880	Female	25	1	11	1	< 1 Year	No	28,898	152	70	0
96,560	Male	25	1	8	1	< 1 Year	No	33,911	152	286	0
58,264	Male	34	1	12	0	1-2 Year	Yes	36,280	26	259	0
316,193	Male	43	1	50	0	1-2 Year	Yes	28,501	152	146	0
221,001	Female	44	1	46	0	1-2 Year	Yes	26,846	4	293	0
379,660	Male	27	1	17	1	1-2 Year	No	37,759	124	244	0
484,725	Female	28	1	28	1	< 1 Year	No	45,444	152	198	0
256,103	Male	78	1	28	0	1-2 Year	Yes	33,762	124	49	0
59,535	Female	24	1	27	0	< 1 Year	Yes	23,173	152	156	0
439,999	Female	34	1	3	1	1-2 Year	No	14,455	152	274	0
416,903	Male	69	1	28	1	1-2 Year	No	49,081	122	89	0
228,037	Male	76	1	28	1	1-2 Year	No	86,618	26	213	0
282,815	Female	28	1	41	1	< 1 Year	No	30,675	152	265	0
476,623	Male	40	1	50	1	1-2 Year	No	24,583	65	210	0
475,051	Male	50	1	46	0	1-2 Year	Yes	40,625	26	94	1
324,910	Female	43	1	46	0	1-2 Year	Yes	39,306	124	269	1
153,004	Male	31	1	28	0	< 1 Year	Yes	32,837	122	52	0
95,741	Female	23	1	37	0	< 1 Year	Yes	29,898	152	187	0
229,995	Female	21	1	30	1	< 1 Year	No	25,362	160	204	0
490,844	Female	47	1	46	1	1-2 Year	No	2,630	26	16	0
114,906	Male	36	1	35	0	1-2 Year	No	41,729	124	106	1
118,701	Male	39	1	30	0	1-2 Year	Yes	23,363	124	55	0
309,280	Female	24	1	15	1	< 1 Year	No	20,425	151	214	0
48,416	Female	25	1	41	0	< 1 Year	Yes	2,630	160	199	1
97,675	Female	69	1	28	0	1-2 Year	Yes	53,195	26	157	0
257,327	Female	51	1	15	0	1-2 Year	No	52,185	124	100	0
280,495	Male	51	1	28	0	1-2 Year	Yes	41,850	124	181	0
180,688	Female	23	1	21	1	< 1 Year	No	26,985	152	79	0
105,735	Female	43	1	3	1	1-2 Year	No	2,630	124	32	0
307,017	Female	23	1	8	0	< 1 Year	Yes	34,614	152	132	0
272,271	Male	58	1	28	0	> 2 Years	Yes	27,037	124	30	0
193,850	Female	37	1	9	1	1-2 Year	No	36,010	124	16	0
123,041	Female	47	1	50	1	1-2 Year	No	37,358	18	65	0
182,368	Male	52	1	46	1	1-2 Year	No	22,167	124	190	0
16,956	Male	54	1	46	1	1-2 Year	No	39,997	124	121	0
60,067	Female	24	1	46	0	< 1 Year	Yes	27,655	152	252	0
207,554	Male	39	1	41	0	1-2 Year	Yes	28,725	26	65	0
212,396	Male	45	1	28	0	> 2 Years	Yes	30,667	31	47	0
202,298	Male	55	1	8	0	1-2 Year	Yes	39,147	124	217	0
430,550	Male	31	1	33	0	1-2 Year	Yes	31,569	124	35	1
441,108	Male	55	1	30	1	1-2 Year	No	27,121	26	287	0
67,618	Male	53	1	1	0	> 2 Years	Yes	2,630	26	162	0
78,265	Female	28	1	28	0	< 1 Year	No	2,630	1	243	0
85,548	Male	42	1	17	0	> 2 Years	Yes	41,679	29	11	0
79,790	Male	25	1	3	1	< 1 Year	Yes	38,447	152	228	0
293,765	Male	35	1	41	1	1-2 Year	No	28,594	152	92	0
184,481	Female	23	1	28	0	< 1 Year	Yes	34,529	152	17	0
209,894	Male	23	1	15	0	< 1 Year	Yes	27,033	152	12	0
254,273	Female	48	1	28	0	1-2 Year	Yes	48,356	124	253	0
255,670	Male	42	1	3	0	1-2 Year	Yes	29,001	26	138	0
169,699	Male	23	1	8	0	< 1 Year	No	2,630	152	282	1
19,513	Male	44	1	28	0	1-2 Year	Yes	39,487	124	103	1
379,274	Male	58	1	30	1	1-2 Year	No	2,630	152	150	0
230,858	Female	23	1	41	0	< 1 Year	Yes	30,958	152	157	0
75,683	Male	29	1	8	1	< 1 Year	No	39,405	152	171	0
392,954	Female	29	1	43	1	< 1 Year	No	28,010	152	278	0
280,334	Male	29	1	29	1	< 1 Year	No	2,630	152	166	0
147,053	Male	48	1	24	0	> 2 Years	Yes	29,360	26	18	1
268,112	Male	58	1	0	0	1-2 Year	Yes	2,630	124	258	1
189,248	Male	43	1	24	0	1-2 Year	Yes	37,396	124	41	1
142,429	Male	35	1	8	0	1-2 Year	Yes	115,034	26	185	0
106,053	Male	49	1	28	0	1-2 Year	Yes	29,172	124	162	0
101,089	Female	22	1	6	1	< 1 Year	No	50,464	152	40	0
472,574	Female	26	1	43	1	< 1 Year	No	2,630	152	31	0
212,056	Male	52	1	48	0	> 2 Years	Yes	2,630	26	183	1
256,890	Female	67	1	45	0	1-2 Year	Yes	27,669	124	39	1
338,053	Female	41	1	28	0	1-2 Year	Yes	54,527	26	288	0
370,402	Male	21	1	8	1	< 1 Year	No	27,664	160	34	0
106,590	Female	41	1	28	0	> 2 Years	Yes	28,695	26	139	1
277,608	Female	23	1	39	1	< 1 Year	No	51,103	152	185	0
488,176	Female	28	1	46	1	< 1 Year	No	2,630	160	86	0
112,035	Female	70	1	28	0	1-2 Year	Yes	30,055	55	44	0
101,680	Male	51	1	36	1	1-2 Year	No	38,408	124	19	0
402,771	Female	53	1	3	1	1-2 Year	No	2,630	26	174	0
376,120	Female	59	1	46	0	1-2 Year	Yes	29,741	11	44	0
239,804	Male	78	1	28	0	1-2 Year	Yes	2,630	156	104	0
389,622	Female	21	1	41	1	< 1 Year	No	31,779	152	137	0
210,075	Male	24	1	32	1	< 1 Year	No	39,252	152	116	0
374,271	Female	25	1	14	1	< 1 Year	No	24,582	152	24	0
116,453	Female	24	1	36	0	< 1 Year	Yes	34,919	152	185	0
4,401	Female	69	1	41	1	1-2 Year	No	31,912	124	19	0
368,099	Male	45	1	28	0	1-2 Year	Yes	31,721	26	145	1
192,700	Female	33	1	33	1	< 1 Year	No	37,221	152	263	0
441,160	Male	22	1	28	1	< 1 Year	No	77,661	152	84	0
464,975	Female	31	1	28	1	< 1 Year	No	50,232	152	216	0
77,656	Male	58	1	28	0	1-2 Year	Yes	30,136	26	262	0
360,217	Male	31	1	28	0	< 1 Year	Yes	2,630	157	142	1
144,127	Female	21	1	46	1	< 1 Year	No	25,967	152	249	0
401,734	Male	44	1	28	0	> 2 Years	Yes	46,245	124	88	1
99,218	Male	55	1	28	1	1-2 Year	Yes	46,684	26	109	0
323,976	Female	55	1	28	0	1-2 Year	Yes	50,472	26	209	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.