Datasets:

scikit-learn
/

credit-card-clients

ID int64 1 30k	LIMIT_BAL float64 10k 1M	SEX int64 1 2	EDUCATION int64 0 6	MARRIAGE int64 0 3	AGE int64 21 79	PAY_0 int64 -2 8	PAY_2 int64 -2 8	PAY_3 int64 -2 8	PAY_4 int64 -2 8	PAY_5 int64 -2 8	PAY_6 int64 -2 8	BILL_AMT1 int64 -165,580 965k	BILL_AMT2 float64 -69,777 984k	BILL_AMT3 float64 -157,264 1.66M	BILL_AMT4 int64 -170,000 892k	BILL_AMT5 float64 -81,334 927k	BILL_AMT6 float64 -339,603 962k	PAY_AMT1 float64 0 874k	PAY_AMT2 float64 0 1.68M	PAY_AMT3 float64 0 896k	PAY_AMT4 float64 0 621k	PAY_AMT5 float64 0 427k	PAY_AMT6 float64 0 529k	default.payment.next.month int64 0 1
1	20,000	2	2	1	24	2	2	-1	-1	-2	-2	3,913	3,102	689	0	0	0	0	689	0	0	0	0	1
2	120,000	2	2	2	26	-1	2	0	0	0	2	2,682	1,725	2,682	3,272	3,455	3,261	0	1,000	1,000	1,000	0	2,000	1
3	90,000	2	2	2	34	0	0	0	0	0	0	29,239	14,027	13,559	14,331	14,948	15,549	1,518	1,500	1,000	1,000	1,000	5,000	0
4	50,000	2	2	1	37	0	0	0	0	0	0	46,990	48,233	49,291	28,314	28,959	29,547	2,000	2,019	1,200	1,100	1,069	1,000	0
5	50,000	1	2	1	57	-1	0	-1	0	0	0	8,617	5,670	35,835	20,940	19,146	19,131	2,000	36,681	10,000	9,000	689	679	0
6	50,000	1	1	2	37	0	0	0	0	0	0	64,400	57,069	57,608	19,394	19,619	20,024	2,500	1,815	657	1,000	1,000	800	0
7	500,000	1	1	2	29	0	0	0	0	0	0	367,965	412,023	445,007	542,653	483,003	473,944	55,000	40,000	38,000	20,239	13,750	13,770	0
8	100,000	2	2	2	23	0	-1	-1	0	0	-1	11,876	380	601	221	-159	567	380	601	0	581	1,687	1,542	0
9	140,000	2	3	1	28	0	0	2	0	0	0	11,285	14,096	12,108	12,211	11,793	3,719	3,329	0	432	1,000	1,000	1,000	0
10	20,000	1	3	2	35	-2	-2	-2	-2	-1	-1	0	0	0	0	13,007	13,912	0	0	0	13,007	1,122	0	0
11	200,000	2	3	2	34	0	0	2	0	0	-1	11,073	9,787	5,535	2,513	1,828	3,731	2,306	12	50	300	3,738	66	0
12	260,000	2	1	2	51	-1	-1	-1	-1	-1	2	12,261	21,670	9,966	8,517	22,287	13,668	21,818	9,966	8,583	22,301	0	3,640	0
13	630,000	2	2	2	41	-1	0	-1	-1	-1	-1	12,137	6,500	6,500	6,500	6,500	2,870	1,000	6,500	6,500	6,500	2,870	0	0
14	70,000	1	2	2	30	1	2	2	0	0	2	65,802	67,369	65,701	66,782	36,137	36,894	3,200	0	3,000	3,000	1,500	0	1
15	250,000	1	1	2	29	0	0	0	0	0	0	70,887	67,060	63,561	59,696	56,875	55,512	3,000	3,000	3,000	3,000	3,000	3,000	0
16	50,000	2	3	3	23	1	2	0	0	0	0	50,614	29,173	28,116	28,771	29,531	30,211	0	1,500	1,100	1,200	1,300	1,100	0
17	20,000	1	1	2	24	0	0	2	2	2	2	15,376	18,010	17,428	18,338	17,905	19,104	3,200	0	1,500	0	1,650	0	1
18	320,000	1	1	1	49	0	0	0	-1	-1	-1	253,286	246,536	194,663	70,074	5,856	195,599	10,358	10,000	75,940	20,000	195,599	50,000	0
19	360,000	2	1	1	49	1	-2	-2	-2	-2	-2	0	0	0	0	0	0	0	0	0	0	0	0	0
20	180,000	2	1	2	29	1	-2	-2	-2	-2	-2	0	0	0	0	0	0	0	0	0	0	0	0	0
21	130,000	2	3	2	39	0	0	0	0	0	-1	38,358	27,688	24,489	20,616	11,802	930	3,000	1,537	1,000	2,000	930	33,764	0
22	120,000	2	2	1	39	-1	-1	-1	-1	-1	-1	316	316	316	0	632	316	316	316	0	632	316	0	1
23	70,000	2	2	2	26	2	0	0	2	2	2	41,087	42,445	45,020	44,006	46,905	46,012	2,007	3,582	0	3,601	0	1,820	1
24	450,000	2	1	1	40	-2	-2	-2	-2	-2	-2	5,512	19,420	1,473	560	0	0	19,428	1,473	560	0	0	1,128	1
25	90,000	1	1	2	23	0	0	0	-1	0	0	4,744	7,070	0	5,398	6,360	8,292	5,757	0	5,398	1,200	2,045	2,000	0
26	50,000	1	3	2	23	0	0	0	0	0	0	47,620	41,810	36,023	28,967	29,829	30,046	1,973	1,426	1,001	1,432	1,062	997	0
27	60,000	1	1	2	27	1	-2	-1	-1	-1	-1	-109	-425	259	-57	127	-189	0	1,000	0	500	0	1,000	1
28	50,000	2	3	2	30	0	0	0	0	0	0	22,541	16,138	17,163	17,878	18,931	19,617	1,300	1,300	1,000	1,500	1,000	1,012	0
29	50,000	2	3	1	47	-1	-1	-1	-1	-1	-1	650	3,415	3,416	2,040	30,430	257	3,415	3,421	2,044	30,430	257	0	0
30	50,000	1	1	2	26	0	0	0	0	0	0	15,329	16,575	17,496	17,907	18,375	11,400	1,500	1,500	1,000	1,000	1,600	0	0
31	230,000	2	1	2	27	-1	-1	-1	-1	-1	-1	16,646	17,265	13,266	15,339	14,307	36,923	17,270	13,281	15,339	14,307	37,292	0	0
32	50,000	1	2	2	33	2	0	0	0	0	0	30,518	29,618	22,102	22,734	23,217	23,680	1,718	1,500	1,000	1,000	1,000	716	1
33	100,000	1	1	2	32	0	0	0	0	0	0	93,036	84,071	82,880	80,958	78,703	75,589	3,023	3,511	3,302	3,204	3,200	2,504	0
34	500,000	2	2	1	54	-2	-2	-2	-2	-2	-2	10,929	4,152	22,722	7,521	71,439	8,981	4,152	22,827	7,521	71,439	981	51,582	0
35	500,000	1	1	1	58	-2	-2	-2	-2	-2	-2	13,709	5,006	31,130	3,180	0	5,293	5,006	31,178	3,180	0	5,293	768	0
36	160,000	1	1	2	30	-1	-1	-2	-2	-2	-1	30,265	-131	-527	-923	-1,488	-1,884	131	396	396	565	792	0	0
37	280,000	1	2	1	40	0	0	0	0	0	0	186,503	181,328	180,422	170,410	173,901	177,413	8,026	8,060	6,300	6,400	6,400	6,737	0
38	60,000	2	2	2	22	0	0	0	0	0	-1	15,054	9,806	11,068	6,026	-28,335	18,660	1,500	1,518	2,043	0	47,671	617	0
39	50,000	1	1	2	25	1	-1	-1	-2	-2	-2	0	780	0	0	0	0	780	0	0	0	0	0	1
40	280,000	1	1	2	31	-1	-1	2	-1	0	-1	498	9,075	4,641	9,976	17,976	9,477	9,075	0	9,976	8,000	9,525	781	0
41	360,000	1	1	2	33	0	0	0	0	0	0	218,668	221,296	206,895	628,699	195,969	179,224	10,000	7,000	6,000	188,840	28,000	4,000	0
42	70,000	2	1	2	25	0	0	0	0	0	0	67,521	66,999	63,949	63,699	64,718	65,970	3,000	4,500	4,042	2,500	2,800	2,500	0
43	10,000	1	2	2	22	0	0	0	0	0	0	1,877	3,184	6,003	3,576	3,670	4,451	1,500	2,927	1,000	300	1,000	500	0
44	140,000	2	2	1	37	0	0	0	0	0	0	59,504	61,544	62,925	64,280	67,079	69,802	3,000	3,000	3,000	4,000	4,000	3,000	0
45	40,000	2	1	2	30	0	0	0	2	0	0	18,927	21,295	25,921	25,209	26,636	29,197	3,000	5,000	0	2,000	3,000	0	0
46	210,000	1	1	2	29	-2	-2	-2	-2	-2	-2	0	0	0	0	0	0	0	0	0	0	0	0	1
47	20,000	2	1	2	22	0	0	2	-1	0	0	14,028	16,484	15,800	16,341	16,675	0	3,000	0	16,741	334	0	0	1
48	150,000	2	5	2	46	0	0	-1	0	0	-2	4,463	3,034	1,170	1,170	0	0	1,013	1,170	0	0	0	0	1
49	380,000	1	2	2	32	-1	-1	-1	-1	-1	-1	22,401	21,540	15,134	32,018	11,849	11,873	21,540	15,138	24,677	11,851	11,875	8,251	0
50	20,000	1	1	2	24	0	0	0	0	0	0	17,447	18,479	19,476	19,865	20,480	20,063	1,318	1,315	704	928	912	1,069	0
51	70,000	1	3	2	42	1	2	2	2	2	0	37,042	36,171	38,355	39,423	38,659	39,362	0	3,100	2,000	0	1,500	1,500	1
52	100,000	2	3	3	43	0	0	0	0	0	0	61,559	51,163	43,824	39,619	35,762	33,258	2,000	1,606	1,500	2,000	1,500	1,000	0
53	310,000	2	2	1	49	-2	-2	-2	-2	-2	-2	13,465	7,867	7,600	11,185	3,544	464	7,875	7,600	11,185	3,544	464	0	0
54	180,000	2	1	2	25	1	2	0	0	0	0	41,402	41,742	42,758	43,510	44,420	45,319	1,300	2,010	1,762	1,762	1,790	1,622	0
55	150,000	2	1	2	29	2	0	0	0	0	0	46,224	34,993	31,434	26,518	21,042	16,540	1,600	1,718	1,049	1,500	2,000	5,000	0
56	500,000	2	1	1	45	-2	-2	-2	-2	-2	-2	1,905	3,640	162	0	151	2,530	3,640	162	0	151	2,530	0	0
57	180,000	2	3	1	34	0	0	0	-1	-1	-1	16,386	15,793	8,441	7,142	-679	8,321	8,500	1,500	7,500	679	9,000	2,000	0
58	180,000	2	2	1	34	0	0	0	0	0	0	175,886	173,440	172,308	168,608	132,202	129,918	8,083	7,296	5,253	4,814	4,816	3,800	0
59	200,000	2	1	2	34	-1	3	2	2	2	2	1,587	1,098	782	1,166	700	1,414	0	0	700	0	1,200	0	0
60	400,000	2	2	1	29	0	0	0	0	0	0	400,134	398,857	404,205	360,199	356,656	364,089	17,000	15,029	30,000	12,000	12,000	23,000	0
61	500,000	2	3	1	28	0	0	0	0	0	0	22,848	23,638	18,878	14,937	13,827	15,571	1,516	1,300	1,000	1,000	2,000	2,000	1
62	70,000	1	2	1	39	0	0	0	0	0	-1	70,800	72,060	69,938	16,518	14,096	830	4,025	2,095	1,000	2,000	3,000	0	0
63	50,000	1	1	2	29	2	2	2	2	2	2	24,987	24,300	26,591	25,865	27,667	28,264	0	2,700	0	2,225	1,200	0	1
64	50,000	2	2	1	46	0	0	0	-2	-2	-2	28,718	29,166	0	0	0	0	1,000	0	0	0	0	0	1
65	130,000	2	2	1	51	-1	-1	-2	-2	-1	-1	99	0	0	0	2,353	0	0	0	0	2,353	0	0	0
66	200,000	1	1	1	57	-2	-2	-2	-1	2	2	152,519	148,751	144,076	8,174	8,198	7,918	0	0	8,222	300	0	1,000	1
67	10,000	1	2	1	56	2	2	2	0	0	0	2,097	4,193	3,978	4,062	4,196	4,326	2,300	0	150	200	200	160	1
68	210,000	2	1	2	30	2	-1	-1	-1	-1	-1	300	300	1,159	2,280	300	4,250	300	1,159	2,280	300	4,250	909	0
69	130,000	2	3	2	29	1	-2	-2	-1	2	-1	-190	-9,850	-9,850	10,311	10,161	7,319	0	0	20,161	0	7,319	13,899	0
70	20,000	1	5	2	22	2	0	0	0	0	0	18,565	17,204	17,285	18,085	11,205	5,982	0	1,200	1,000	500	1,000	0	0
71	80,000	1	1	2	31	-1	-1	-1	-1	-1	-1	780	0	390	390	390	390	0	390	390	390	390	390	0
72	320,000	1	2	2	29	2	2	2	2	2	2	58,267	59,246	60,184	58,622	62,307	63,526	2,500	2,500	0	4,800	2,400	1,600	1
73	200,000	2	2	1	32	-1	-1	-1	-1	2	-1	9,076	5,787	-684	5,247	3,848	3,151	5,818	15	9,102	17	3,165	1,395	0
74	290,000	2	1	2	37	1	-2	-1	-1	-1	-1	0	0	3,155	0	2,359	0	0	3,155	0	2,359	0	0	0
75	340,000	1	1	2	32	-1	-1	-1	-1	-1	-1	3,048	5,550	23,337	4,291	80,153	25,820	5,713	23,453	4,314	80,552	25,949	2,016	0
76	20,000	1	2	2	24	0	0	2	0	0	0	14,619	17,216	16,642	16,976	17,332	18,543	2,850	0	610	630	1,500	0	0
77	50,000	1	3	2	25	-1	0	0	0	0	0	42,838	37,225	36,087	9,636	9,590	10,030	1,759	1,779	320	500	1,000	1,000	0
78	300,000	2	1	1	45	-1	-1	-1	-1	-1	-1	291	291	291	291	291	291	291	291	291	291	291	291	0
79	30,000	2	2	2	22	0	0	0	0	0	0	28,387	29,612	30,326	28,004	26,446	6,411	1,686	1,400	560	3,000	1,765	0	1
80	240,000	2	2	2	44	1	-2	-2	-2	-2	-2	0	0	0	0	0	0	0	0	0	0	0	0	1
81	470,000	2	3	3	33	0	0	0	0	0	0	165,254	157,784	162,702	69,923	29,271	29,889	6,400	7,566	3,000	960	1,000	3,000	0
82	360,000	2	1	2	26	0	0	0	0	0	-1	23,411	27,796	30,400	33,100	180,000	196	4,796	3,400	3,100	146,900	196	2,963	0
83	60,000	1	3	2	30	0	0	0	0	0	0	26,324	27,471	28,108	21,993	19,899	19,771	1,576	1,213	648	768	1,140	0	1
84	400,000	2	2	1	44	0	0	2	0	0	0	131,595	139,060	126,819	104,430	104,990	94,058	10,700	3	3,050	3,000	3,200	2,800	0
85	50,000	2	3	2	49	0	0	0	0	0	0	48,909	47,863	21,489	20,414	19,342	19,482	1,676	1,302	700	699	849	826	0
86	160,000	1	2	2	33	0	0	0	0	0	0	130,028	107,808	71,934	118,418	118,407	120,418	4,400	3,547	80,000	4,500	4,800	4,500	0
87	360,000	2	1	1	45	-1	-1	2	0	-1	-1	390	1,170	780	390	390	390	1,170	0	0	390	390	390	1
88	160,000	2	2	2	32	0	0	0	0	0	-1	3,826	4,751	6,604	8,604	7,072	766	1,147	2,000	2,000	0	766	2,303	0
89	130,000	2	1	1	35	0	0	0	-1	-1	-1	81,313	117,866	17,740	1,330	7,095	1,190	40,000	5,000	1,330	7,095	1,190	2,090	0
90	20,000	1	3	2	44	2	2	0	0	0	2	8,583	8,303	9,651	10,488	12,314	11,970	0	1,651	1,000	2,000	0	1,500	0
91	200,000	1	1	1	53	2	2	2	2	2	2	138,180	140,774	142,460	144,098	147,124	149,531	6,300	5,500	5,500	5,500	5,000	5,000	1
92	280,000	2	1	2	39	-1	-1	-1	0	0	-2	7,524	0	3,968	3,868	0	0	0	3,968	0	0	0	0	0
93	100,000	2	1	2	27	-2	-2	-2	-2	-2	-2	-2,000	5,555	0	0	0	0	7,555	0	0	0	0	0	0
94	160,000	2	2	1	37	-1	-1	-1	-1	-1	-2	880	1,602	840	840	0	0	1,602	840	840	0	0	7,736	0
95	60,000	2	2	2	23	0	0	0	0	0	0	45,648	46,850	47,214	19,595	19,209	19,323	1,937	1,301	682	690	816	835	0
96	90,000	1	2	2	35	0	0	0	0	0	0	83,725	85,996	87,653	35,565	30,942	30,835	3,621	3,597	1,179	1,112	1,104	1,143	0
97	360,000	1	1	1	43	-1	-1	-1	-1	-1	0	3,967	8,322	3,394	6,451	26,370	9,956	8,339	3,394	12,902	27,000	0	68,978	0
98	150,000	1	1	2	27	0	0	0	0	0	0	86,009	86,108	89,006	89,775	87,725	40,788	4,031	10,006	3,266	4,040	1,698	800	0
99	50,000	2	3	1	22	0	0	0	0	0	0	18,722	18,160	16,997	13,150	8,866	7,899	1,411	1,194	379	281	321	197	0
100	20,000	1	2	1	38	0	0	0	0	0	-1	17,973	19,367	19,559	18,240	17,928	150	1,699	1,460	626	1,750	150	0	1

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Default of Credit Card Clients Dataset

The following was retrieved from UCI machine learning repository.

Dataset Information

This dataset contains information on default payments, demographic factors, credit data, history of payment, and bill statements of credit card clients in Taiwan from April 2005 to September 2005.

Content

There are 25 variables:

ID: ID of each client
LIMIT_BAL: Amount of given credit in NT dollars (includes individual and family/supplementary credit
SEX: Gender (1=male, 2=female)
EDUCATION: (1=graduate school, 2=university, 3=high school, 4=others, 5=unknown, 6=unknown)
MARRIAGE: Marital status (1=married, 2=single, 3=others)
AGE: Age in years
PAY_0: Repayment status in September, 2005 (-1=pay duly, 1=payment delay for one month, 2=payment delay for two months, … 8=payment delay for eight months, 9=payment delay for nine months and above)
PAY_2: Repayment status in August, 2005 (scale same as above)
PAY_3: Repayment status in July, 2005 (scale same as above)
PAY_4: Repayment status in June, 2005 (scale same as above)
PAY_5: Repayment status in May, 2005 (scale same as above)
PAY_6: Repayment status in April, 2005 (scale same as above)
BILL_AMT1: Amount of bill statement in September, 2005 (NT dollar)
BILL_AMT2: Amount of bill statement in August, 2005 (NT dollar)
BILL_AMT3: Amount of bill statement in July, 2005 (NT dollar)
BILL_AMT4: Amount of bill statement in June, 2005 (NT dollar)
BILL_AMT5: Amount of bill statement in May, 2005 (NT dollar)
BILL_AMT6: Amount of bill statement in April, 2005 (NT dollar)
PAY_AMT1: Amount of previous payment in September, 2005 (NT dollar)
PAY_AMT2: Amount of previous payment in August, 2005 (NT dollar)
PAY_AMT3: Amount of previous payment in July, 2005 (NT dollar)
PAY_AMT4: Amount of previous payment in June, 2005 (NT dollar)
PAY_AMT5: Amount of previous payment in May, 2005 (NT dollar)
PAY_AMT6: Amount of previous payment in April, 2005 (NT dollar)
default.payment.next.month: Default payment (1=yes, 0=no)

Inspiration

Some ideas for exploration:

How does the probability of default payment vary by categories of different demographic variables? Which variables are the strongest predictors of default payment?

Acknowledgements Any publications based on this dataset should acknowledge the following:

Lichman, M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.

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Number of rows:

30,000

Default of Credit Card Clients Dataset

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