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analcatdata_creditscore

analcatdata_creditscore

active ARFF CC BY 4.0 Visibility: public Uploaded 20-11-2024 by Sebastian Silva Ruiz
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Finantial dataset for automl benchmark. Dataset 461 with target column application.accepted

7 features

application.accepted (target)nominal2 unique values
0 missing
agenumeric28 unique values
0 missing
income.per.dependentnumeric76 unique values
0 missing
monthly.credit.card.expnumeric73 unique values
0 missing
own.homestring2 unique values
0 missing
self.employedstring2 unique values
0 missing
derogatory.reportsnominal6 unique values
0 missing
Show all 7 features

19 properties

NumberOfInstances
100
Number of instances (rows) of the dataset.
NumberOfFeatures
7
Number of attributes (columns) of the dataset.
NumberOfClasses
2
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
3
Number of numeric attributes.
NumberOfSymbolicFeatures
2
Number of nominal attributes.
AutoCorrelation
0.62
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Dimensionality
0.07
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
42.86
Percentage of numeric attributes.
MajorityClassPercentage
73
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
28.57
Percentage of nominal attributes.
MajorityClassSize
73
Number of instances belonging to the most frequent class.
MinorityClassPercentage
27
Percentage of instances belonging to the least frequent class.
MinorityClassSize
27
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
1
Number of binary attributes.
PercentageOfBinaryFeatures
14.29
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
Show all 19 properties

1 tasks

Supervised Classification on analcatdata_creditscore
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: application.accepted
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