Statlog (Australian Credit Approval)
This file concerns credit card applications. This database exists elsewhere in the repository (Credit Screening Database) in a slightly different form
Dataset Characteristics
Multivariate
Subject Area
Business
Associated Tasks
Classification
Feature Type
Categorical, Integer, Real
# Instances
690
# Features
14
Dataset Information
Additional 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.
Has Missing Values?
Yes
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| A1 | Feature | Categorical | no | ||
| A2 | Feature | Continuous | no | ||
| A3 | Feature | Continuous | no | ||
| A4 | Feature | Categorical | no | ||
| A5 | Feature | Categorical | no | ||
| A6 | Feature | Categorical | no | ||
| A7 | Feature | Continuous | no | ||
| A8 | Feature | Categorical | no | ||
| A9 | Feature | Categorical | no | ||
| A10 | Feature | Continuous | no |
0 to 10 of 15
Additional Variable Information
There are 6 numerical and 8 categorical attributes. The labels have been changed for the convenience of the statistical algorithms. For example, attribute 4 originally had 3 labels p,g,gg and these have been changed to labels 1,2,3. A1: 0,1 CATEGORICAL (formerly: a,b) A2: continuous. A3: continuous. A4: 1,2,3 CATEGORICAL (formerly: p,g,gg) A5: 1, 2,3,4,5, 6,7,8,9,10,11,12,13,14 CATEGORICAL (formerly: ff,d,i,k,j,aa,m,c,w, e, q, r,cc, x) A6: 1, 2,3, 4,5,6,7,8,9 CATEGORICAL (formerly: ff,dd,j,bb,v,n,o,h,z) A7: continuous. A8: 1, 0 CATEGORICAL (formerly: t, f) A9: 1, 0 CATEGORICAL (formerly: t, f) A10: continuous. A11: 1, 0 CATEGORICAL (formerly t, f) A12: 1, 2, 3 CATEGORICAL (formerly: s, g, p) A13: continuous. A14: continuous. A15: 1,2 class attribute (formerly: +,-)
Baseline Model Performance
Dataset Files
| File | Size |
|---|---|
| australian.dat | 28.1 KB |
| australian.doc | 2.4 KB |
| Index | 120 Bytes |
Papers Citing this Dataset
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By Kathrin Grosse, Michael Smith, Michael Backes. 2018
Published in ArXiv.
By Yajiao Tang, Junkai Ji, Shangce Gao, Hongwei Dai, Yang Yu, Yuki Todo. 2018
Published in Computational intelligence and neuroscience.
By Marek Grochowski, Wlodzislaw Duch. 2009
Published in ICANN.
By María Abad-Grau, Daniel Arias-Aranda. 2006
Published in Industrial Management and Data Systems.
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset statlog_australian_credit_approval = fetch_ucirepo(id=143) # data (as pandas dataframes) X = statlog_australian_credit_approval.data.features y = statlog_australian_credit_approval.data.targets # metadata print(statlog_australian_credit_approval.metadata) # variable information print(statlog_australian_credit_approval.variables)
Quinlan, R. (1987). Statlog (Australian Credit Approval) [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C59012.
Creators
Ross Quinlan
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.