Summary

(No information yet)

License

unknown (from Weka repository)

Dependencies

Tags

arff slurped Weka

Attribute Types

Integer,Floating Point,String

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# Instances: 690 / # Attributes: 16
HDF5 (308.3 KB) XML CSV ARFF LibSVM Matlab Octave

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Original Data Format

arff

Name

credit-rating

Version mldata

0

Comment

1. Title: Credit Approval

2. Sources: (confidential) Submitted by quinlan@cs.su.oz.au

3. Past Usage:

   See Quinlan, "Simplifying decision trees", Int J Man-Machine Studies 27, Dec 1987, pp. 221-234. "C4.5: Programs for Machine Learning", Morgan Kaufmann, Oct 1992

4. Relevant Information:

   This file concerns credit card applications. All attribute names and values have been changed to meaningless symbols to protect confidentiality of the data.

   This dataset is interesting because there is a good mix of attributes -- continuous, nominal with small numbers of values, and nominal with larger numbers of values. There are also a few missing values.

5. Number of Instances: 690

6. Number of Attributes: 15 + class attribute

7. Attribute Information:

   A1: b, a. A2: continuous. A3: continuous. A4: u, y, l, t. A5: g, p, gg. A6: c, d, cc, i, j, k, m, r, q, w, x, e, aa, ff. A7: v, h, bb, j, n, z, dd, ff, o. A8: continuous. A9: t, f. A10: t, f. A11: continuous. A12: t, f. A13: g, p, s. A14: continuous. A15: continuous. A16: +,- (class attribute)

8. Missing Attribute Values: 37 cases (5%) have one or more missing values. The missing values from particular attributes are:

   A1: 12 A2: 12 A4: 6 A5: 6 A6: 9 A7: 9 A14: 13

9. Class Distribution

   +: 307 (44.5%) -: 383 (55.5%)

Names

A1,A2,A3,A4,A5,A6,A7,A8,A9,A10,

Types

1. nominal:b,a
2. numeric
3. numeric
4. nominal:u,y,l,t
5. nominal:g,p,gg
6. nominal:c,d,cc,i,j,k,m,r,q,w,x,e,aa,ff
7. nominal:v,h,bb,j,n,z,dd,ff,o
8. numeric
9. nominal:t,f
10. nominal:t,f

Data (first 10 data points)

A1	A2	A3	A4	A5	A6	A7	A8	A9	A10	...
b	30.83	0.0	u	g	w	v	1.25	t	t	...
a	58.67	4.46	u	g	q	h	3.04	t	t	...
a	24.5	0.5	u	g	q	h	1.5	t	f	...
b	27.83	1.54	u	g	w	v	3.75	t	t	...
b	20.17	5.625	u	g	w	v	1.71	t	f	...
b	32.08	4.0	u	g	m	v	2.5	t	f	...
b	33.17	1.04	u	g	r	h	6.5	t	f	...
a	22.92	11.585	u	g	cc	v	0.04	t	f	...
b	54.42	0.5	y	p	k	h	3.96	t	f	...
b	42.5	4.915	y	p	w	v	3.165	t	f	...
...	...	...	...	...	...	...	...	...	...	...

Description

A jarfile containing 37 classification problems, originally obtained from the UCI repository (datasets-UCI.jar, 1,190,961 Bytes).

URLs

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Publications

Data Source

http://www.ics.uci.edu/~mlearn/MLRepository.html

Measurement Details

Usage Scenario

revision 1

by mldata on 2010-11-06 09:57

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