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Creditability-German-Credit-Data
ARFF
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Creditability-German-Credit-Data
active
ARFF
Publicly available
Visibility: public
Uploaded 22-11-2024 by
Bilge Gun
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Dataset is uploaded from kaggle, see citation for the link.
21 features
creditability
(target)
string
2 unique values
0 missing
account_balance
numeric
4 unique values
0 missing
duration_of_credit_monthly
numeric
33 unique values
0 missing
payment_status_of_previous_credit
numeric
5 unique values
0 missing
purpose
numeric
10 unique values
0 missing
credit_amount
numeric
923 unique values
0 missing
value_savings_stocks
numeric
5 unique values
0 missing
length_of_current_employment
numeric
5 unique values
0 missing
instalment_per_cent
numeric
4 unique values
0 missing
sex_marital_status
numeric
4 unique values
0 missing
guarantors
numeric
3 unique values
0 missing
duration_in_current_address
numeric
4 unique values
0 missing
most_valuable_available_asset
numeric
4 unique values
0 missing
age_years
numeric
53 unique values
0 missing
concurrent_credits
numeric
3 unique values
0 missing
type_of_apartment
numeric
3 unique values
0 missing
no_of_credits_at_this_bank
numeric
4 unique values
0 missing
occupation
numeric
4 unique values
0 missing
no_of_dependents
numeric
2 unique values
0 missing
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.
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.
NumberOfBinaryFeatures
0
Number of binary attributes.
Show all 19 properties
1 tasks
Supervised Classification on Creditability-German-Credit-Data
0 runs
- estimation_procedure: 10-fold Crossvalidation - target_feature: creditability
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