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credit-approval

credit-approval

active ARFF Publicly available Visibility: public Uploaded 27-01-2023 by Smith
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This file concerns credit card applications. All attribute names and values have been changed to meaningless symbols to protect the 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.

16 features

class (target)string2 unique values
0 missing
A2numeric340 unique values
0 missing
A3numeric213 unique values
0 missing
A8numeric131 unique values
0 missing
A11numeric23 unique values
0 missing
A14numeric164 unique values
0 missing
A15numeric229 unique values
0 missing
A1nominal2 unique values
0 missing
A4nominal3 unique values
0 missing
A5nominal3 unique values
0 missing
A6nominal14 unique values
0 missing
A7nominal9 unique values
0 missing
A9nominal2 unique values
0 missing
A10nominal2 unique values
0 missing
A12nominal2 unique values
0 missing
A13nominal3 unique values
0 missing

19 properties

653
Number of instances (rows) of the dataset.
16
Number of attributes (columns) of the dataset.
2
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
6
Number of numeric attributes.
9
Number of nominal attributes.
56.25
Percentage of nominal attributes.
1
Average class difference between consecutive instances.
37.5
Percentage of numeric attributes.
0
Percentage of missing values.
0
Percentage of instances having missing values.
25
Percentage of binary attributes.
4
Number of binary attributes.
296
Number of instances belonging to the least frequent class.
45.33
Percentage of instances belonging to the least frequent class.
357
Number of instances belonging to the most frequent class.
54.67
Percentage of instances belonging to the most frequent class.
0.02
Number of attributes divided by the number of instances.

1 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
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