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dataset_credit-g
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dataset_credit-g
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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_credit-g, target = class
21 features
class
(target)
string
2 unique values
0 missing
checking_status
numeric
4 unique values
0 missing
duration
numeric
33 unique values
0 missing
credit_history
numeric
5 unique values
0 missing
purpose
numeric
10 unique values
0 missing
credit_amount
numeric
921 unique values
0 missing
savings_status
numeric
5 unique values
0 missing
employment
numeric
5 unique values
0 missing
installment_commitment
numeric
4 unique values
0 missing
personal_status
numeric
4 unique values
0 missing
other_parties
numeric
3 unique values
0 missing
residence_since
numeric
4 unique values
0 missing
property_magnitude
numeric
4 unique values
0 missing
age
numeric
53 unique values
0 missing
other_payment_plans
numeric
3 unique values
0 missing
housing
numeric
3 unique values
0 missing
existing_credits
numeric
4 unique values
0 missing
job
numeric
4 unique values
0 missing
num_dependents
numeric
2 unique values
0 missing
own_telephone
numeric
2 unique values
0 missing
foreign_worker
numeric
2 unique values
0 missing
Show all 21 features
19 properties
NumberOfInstances
1000
Number of instances (rows) of the dataset.
NumberOfFeatures
21
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
20
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
NumberOfBinaryFeatures
0
Number of binary attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
AutoCorrelation
1
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Dimensionality
0.02
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
95.24
Percentage of numeric attributes.
MajorityClassPercentage
70
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
MajorityClassSize
700
Number of instances belonging to the most frequent class.
MinorityClassPercentage
30
Percentage of instances belonging to the least frequent class.
MinorityClassSize
300
Number of instances belonging to the least frequent class.
Show all 19 properties
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