Credit Approval
This data concerns credit card applications; good mix of attributes
Dataset Characteristics
Multivariate
Subject Area
Business
Associated Tasks
Classification
Feature Type
Categorical, Integer, Real
# Instances
690
# Features
15
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 |
|---|---|---|---|---|---|
| A16 | Target | Categorical | no | ||
| A15 | Feature | Continuous | no | ||
| A14 | Feature | Continuous | yes | ||
| A13 | Feature | Categorical | no | ||
| A12 | Feature | Categorical | no | ||
| A11 | Feature | Continuous | no | ||
| A10 | Feature | Categorical | no | ||
| A9 | Feature | Categorical | no | ||
| A8 | Feature | Continuous | no | ||
| A7 | Feature | Categorical | yes |
0 to 10 of 16
Additional Variable 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)
Baseline Model Performance
Dataset Files
| File | Size |
|---|---|
| crx.data | 31.5 KB |
| credit.lisp | 12 KB |
| crx.names | 1.5 KB |
| credit.names | 522 Bytes |
| Index | 182 Bytes |
Papers Citing this Dataset
Sort by Year, desc
By Michael Smith, Kathrin Grosse, Michael Backes, Mauricio Alvarez. 2019
Published in
By Toka Onur, Çetin. 2018
Published in Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics.
By Jan Kalina. 2017
Published in Serbian Journal of Management.
By Wanqing Zhao, Thomas Beach, Yacine Rezgui. 2017
Published in Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.
By Youhan Fang, Yudong Cao, Robert Skeel. 2017
Published in
0 to 5 of 12
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset credit_approval = fetch_ucirepo(id=27) # data (as pandas dataframes) X = credit_approval.data.features y = credit_approval.data.targets # metadata print(credit_approval.metadata) # variable information print(credit_approval.variables)
Quinlan, J. (1987). Credit Approval [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5FS30.
Creators
J. R. Quinlan
quinlan@cs.su.oz.au
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.