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 NameRoleTypeDescriptionUnitsMissing Values
A16TargetCategoricalno
A15FeatureContinuousno
A14FeatureContinuousyes
A13FeatureCategoricalno
A12FeatureCategoricalno
A11FeatureContinuousno
A10FeatureCategoricalno
A9FeatureCategoricalno
A8FeatureContinuousno
A7FeatureCategoricalyes

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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

Papers Citing this Dataset

Adversarial Vulnerability Bounds for Gaussian Process Classification

By Michael Smith, Kathrin Grosse, Michael Backes, Mauricio Alvarez. 2019

Published in

A CORRECTION ON TANGENTBOOST ALGORITHM

By Toka Onur, Çetin. 2018

Published in Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics.

High-dimensional data in economics and their (robust) analysis

By Jan Kalina. 2017

Published in Serbian Journal of Management.

Efficient least angle regression for identification of linear-in-the-parameters models

By Wanqing Zhao, Thomas Beach, Yacine Rezgui. 2017

Published in Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Quasi-Reliable Estimates of Effective Sample Size

By Youhan Fang, Yudong Cao, Robert Skeel. 2017

Published in

0 to 5 of 12

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12 citations
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Creators

J. R. Quinlan

quinlan@cs.su.oz.au

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