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dataset_analcatdata_creditscore
ARFF
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dataset_analcatdata_creditscore
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ARFF
CC BY 4.0
Visibility: public
Uploaded 13-12-2024 by
Sebastian Silva Ruiz
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Financial dataset for automl benchmark. Name = dataset_analcatdata_creditscore, target = application_accepted
7 features
application_accepted
(target)
numeric
2 unique values
0 missing
age
numeric
28 unique values
0 missing
income_per_dependent
numeric
76 unique values
0 missing
monthly_credit_card_exp
numeric
73 unique values
0 missing
own_home
numeric
2 unique values
0 missing
self_employed
numeric
2 unique values
0 missing
derogatory_reports
numeric
6 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
0
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
7
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
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
100
Percentage of numeric attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
Show all 19 properties
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