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
301,873	Female	33	1	28	1	1-2 Year	No	31,115	26	94	0
442,447	Male	51	1	15	0	> 2 Years	Yes	2,630	26	284	1
369,688	Male	49	1	28	0	1-2 Year	Yes	29,339	124	28	0
280,220	Male	50	1	30	0	1-2 Year	Yes	2,630	160	220	0
169,954	Male	24	1	6	1	< 1 Year	No	2,630	152	69	0
342,831	Male	46	1	28	1	1-2 Year	No	35,580	26	134	0
297,864	Male	48	1	48	0	1-2 Year	Yes	2,630	124	201	0
124,767	Male	34	1	28	1	1-2 Year	No	24,995	26	139	0
60,942	Male	49	1	8	0	1-2 Year	Yes	21,900	124	226	0
88,038	Female	55	1	50	1	1-2 Year	No	31,782	8	136	0
28,310	Female	33	1	14	0	< 1 Year	No	2,630	1	203	0
472,526	Male	48	1	28	0	1-2 Year	Yes	44,805	124	35	1
483,373	Female	40	1	8	1	1-2 Year	No	28,479	124	169	0
462,216	Male	49	1	8	1	1-2 Year	No	42,842	26	233	0
308,129	Female	22	1	28	1	< 1 Year	No	26,526	152	273	0
113,626	Male	27	1	8	1	< 1 Year	No	35,564	160	235	0
190,750	Male	27	1	28	1	< 1 Year	No	49,666	152	251	0
392,851	Female	25	1	28	1	< 1 Year	No	46,228	152	137	0
183,713	Male	33	1	47	1	< 1 Year	No	29,939	152	41	0
496,704	Male	26	1	29	1	< 1 Year	No	31,513	152	59	0
423,002	Male	50	1	28	1	1-2 Year	No	44,687	147	288	0
212,829	Male	61	1	28	1	1-2 Year	Yes	2,630	156	254	0
211,699	Male	62	1	41	0	1-2 Year	Yes	31,537	26	44	0
228,410	Male	30	1	8	0	1-2 Year	Yes	2,630	156	148	1
383,840	Male	24	1	28	1	< 1 Year	No	73,691	152	81	0
272,416	Female	55	1	28	0	1-2 Year	Yes	54,639	26	141	1
103,190	Female	47	1	28	1	1-2 Year	No	34,430	26	195	0
49,475	Male	43	1	28	0	1-2 Year	Yes	49,025	26	68	0
360,398	Male	43	1	46	0	1-2 Year	Yes	39,119	26	23	0
39,485	Female	32	1	29	0	< 1 Year	Yes	2,630	160	155	0
433,570	Female	23	1	35	1	< 1 Year	No	28,316	152	241	0
263,668	Male	51	1	29	0	1-2 Year	Yes	36,007	116	125	0
370,262	Female	28	1	50	0	< 1 Year	Yes	36,218	152	22	0
114,756	Male	61	1	28	0	1-2 Year	Yes	2,630	124	141	1
157,984	Male	27	1	28	0	< 1 Year	Yes	39,905	124	137	0
124,063	Male	20	1	8	1	< 1 Year	No	49,908	160	184	0
59,119	Female	78	1	28	0	1-2 Year	Yes	44,269	26	177	0
457,706	Female	28	1	13	1	< 1 Year	No	23,116	152	155	0
70,155	Male	63	1	8	0	1-2 Year	Yes	2,630	26	270	0
21,272	Male	76	1	28	1	1-2 Year	No	40,318	25	166	0
437,898	Female	27	1	28	1	< 1 Year	No	22,945	152	52	0
503,692	Male	26	1	28	1	< 1 Year	No	2,630	152	82	0
327,687	Female	42	1	48	1	1-2 Year	No	2,630	124	278	0
158,296	Female	24	1	30	1	< 1 Year	No	35,607	152	85	0
237,344	Male	29	1	46	1	1-2 Year	No	20,744	124	40	0
113,959	Male	38	1	46	1	1-2 Year	No	2,630	154	87	0
159,145	Male	26	1	39	1	< 1 Year	No	34,366	152	149	0
130,451	Female	23	1	28	0	< 1 Year	Yes	29,819	160	16	0
320,972	Female	39	1	8	0	1-2 Year	Yes	26,128	26	215	0
80,443	Female	56	1	28	1	1-2 Year	No	32,927	24	94	0
336,918	Female	24	1	29	1	< 1 Year	No	32,832	152	260	0
375,916	Female	46	1	8	0	1-2 Year	Yes	52,701	25	208	0
488,052	Male	39	1	46	0	1-2 Year	Yes	27,787	124	278	1
378,934	Male	37	1	28	1	1-2 Year	No	2,630	124	218	0
377,178	Male	38	1	8	1	1-2 Year	No	90,637	124	213	0
339,073	Male	38	1	28	0	1-2 Year	Yes	27,806	124	76	1
417,063	Female	25	1	28	1	< 1 Year	No	51,514	152	53	0
208,161	Female	45	1	43	1	1-2 Year	No	32,379	124	93	0
492,567	Male	60	1	8	1	1-2 Year	No	46,591	26	268	0
24,402	Male	21	1	10	0	< 1 Year	Yes	2,630	152	83	0
99,781	Male	21	1	8	0	< 1 Year	Yes	28,824	160	244	0
305,425	Male	61	1	28	0	1-2 Year	Yes	44,810	122	279	0
136,693	Female	69	1	28	0	1-2 Year	Yes	51,342	26	106	0
178,940	Female	23	1	47	0	< 1 Year	Yes	46,159	152	189	0
148,144	Male	40	1	3	0	1-2 Year	Yes	33,214	26	136	1
86,600	Male	55	1	31	0	1-2 Year	Yes	2,630	124	200	0
138,071	Male	48	1	28	1	1-2 Year	No	60,500	122	229	0
261,520	Female	25	1	41	1	< 1 Year	No	25,164	152	181	0
287,644	Female	44	1	15	0	1-2 Year	Yes	41,495	124	259	0
282,683	Female	61	1	28	0	1-2 Year	Yes	41,257	26	128	0
93,887	Female	23	1	37	0	< 1 Year	Yes	35,041	152	146	0
182,683	Female	29	1	50	1	< 1 Year	No	35,283	152	137	0
472,404	Female	48	1	11	0	1-2 Year	Yes	38,931	26	231	1
31,263	Female	34	1	15	0	1-2 Year	Yes	2,630	156	205	0
217,488	Male	32	1	28	0	1-2 Year	Yes	35,918	124	198	0
101,096	Male	26	1	35	1	< 1 Year	No	36,693	26	193	0
206,576	Female	25	1	28	1	< 1 Year	No	52,583	152	278	0
86,460	Male	36	1	28	0	1-2 Year	Yes	25,128	124	182	1
106,584	Female	21	1	46	1	< 1 Year	No	36,350	160	214	0
487,624	Male	28	1	33	0	< 1 Year	Yes	26,104	156	213	1
355,820	Female	23	1	45	1	< 1 Year	No	23,396	152	47	0
466,355	Male	28	1	28	0	< 1 Year	Yes	45,334	154	119	1
239,700	Male	43	1	28	1	1-2 Year	No	30,926	26	202	0
240,911	Male	53	1	8	0	> 2 Years	Yes	55,087	26	103	1
124,601	Male	21	1	46	0	< 1 Year	Yes	38,503	160	238	0
194,881	Male	41	1	4	0	1-2 Year	Yes	25,690	122	184	0
141,410	Male	26	1	46	1	< 1 Year	No	37,383	152	153	0
286,530	Male	25	1	41	1	< 1 Year	No	35,846	152	13	0
223,849	Male	45	1	47	1	1-2 Year	No	33,041	16	138	0
330,055	Female	34	1	7	0	1-2 Year	Yes	2,630	124	226	0
73,953	Female	24	1	29	1	< 1 Year	No	24,035	152	148	0
331,682	Male	26	1	46	0	1-2 Year	Yes	2,630	124	49	1
156,541	Male	47	1	8	0	1-2 Year	Yes	2,630	61	75	0
129,826	Male	35	1	28	0	1-2 Year	Yes	36,631	124	284	1
249,557	Male	74	1	46	1	1-2 Year	No	2,630	11	232	0
24,118	Female	23	1	30	1	< 1 Year	No	23,248	152	254	0
126,617	Male	44	1	28	0	1-2 Year	Yes	23,554	31	95	0
104,899	Male	67	1	15	0	> 2 Years	Yes	45,027	124	120	0
180,732	Female	43	1	28	0	> 2 Years	Yes	44,850	26	43	0
218,805	Female	28	1	50	1	< 1 Year	No	30,022	152	295	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.