Data
credit-approval_reproduced

credit-approval_reproduced

active ARFF Publicly available Visibility: public Uploaded 09-07-2022 by Laurens Krudde
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
Author: Confidential - Donated by Ross Quinlan Source: [UCI](http://archive.ics.uci.edu/ml/datasets/credit+approval) - 1987 Please cite: [UCI](http://archive.ics.uci.edu/ml/citation_policy.html) Credit Approval 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. From OpenML: https://www.openml.org/d/29

16 features

class (target)nominal2 unique values
0 missing
A1nominal2 unique values
12 missing
A2numeric349 unique values
12 missing
A3numeric215 unique values
0 missing
A4nominal3 unique values
6 missing
A5nominal3 unique values
6 missing
A6nominal14 unique values
9 missing
A7nominal9 unique values
9 missing
A8numeric132 unique values
0 missing
A9nominal2 unique values
0 missing
A10nominal2 unique values
0 missing
A11numeric23 unique values
0 missing
A12nominal2 unique values
0 missing
A13nominal3 unique values
0 missing
A14numeric170 unique values
13 missing
A15numeric240 unique values
0 missing
Show all 16 features

19 properties

NumberOfInstances
690
Number of instances (rows) of the dataset.
NumberOfFeatures
16
Number of attributes (columns) of the dataset.
NumberOfClasses
2
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
67
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
37
Number of instances with at least one value missing.
NumberOfNumericFeatures
6
Number of numeric attributes.
NumberOfSymbolicFeatures
10
Number of nominal attributes.
PercentageOfSymbolicFeatures
62.5
Percentage of nominal attributes.
MajorityClassPercentage
55.51
Percentage of instances belonging to the most frequent class.
MajorityClassSize
383
Number of instances belonging to the most frequent class.
MinorityClassPercentage
44.49
Percentage of instances belonging to the least frequent class.
MinorityClassSize
307
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
5
Number of binary attributes.
PercentageOfBinaryFeatures
31.25
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
5.36
Percentage of instances having missing values.
PercentageOfMissingValues
0.61
Percentage of missing values.
AutoCorrelation
0.98
Average class difference between consecutive instances.
PercentageOfNumericFeatures
37.5
Percentage of numeric attributes.
Dimensionality
0.02
Number of attributes divided by the number of instances.
Show all 19 properties

3 tasks

Supervised Classification on credit-approval_reproduced
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Classification on credit-approval_reproduced
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: class
Learning Curve on credit-approval_reproduced
0 runs - estimation_procedure: 10-fold Learning Curve - evaluation_measure: predictive_accuracy - target_feature: class
Define a new task