Data
Creditability-German-Credit-Data

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)string2 unique values
0 missing
account_balancenumeric4 unique values
0 missing
duration_of_credit_monthlynumeric33 unique values
0 missing
payment_status_of_previous_creditnumeric5 unique values
0 missing
purposenumeric10 unique values
0 missing
credit_amountnumeric923 unique values
0 missing
value_savings_stocksnumeric5 unique values
0 missing
length_of_current_employmentnumeric5 unique values
0 missing
instalment_per_centnumeric4 unique values
0 missing
sex_marital_statusnumeric4 unique values
0 missing
guarantorsnumeric3 unique values
0 missing
duration_in_current_addressnumeric4 unique values
0 missing
most_valuable_available_assetnumeric4 unique values
0 missing
age_yearsnumeric53 unique values
0 missing
concurrent_creditsnumeric3 unique values
0 missing
type_of_apartmentnumeric3 unique values
0 missing
no_of_credits_at_this_banknumeric4 unique values
0 missing
occupationnumeric4 unique values
0 missing
no_of_dependentsnumeric2 unique values
0 missing
telephonenumeric2 unique values
0 missing
foreign_workernumeric2 unique values
0 missing

19 properties

1000
Number of instances (rows) of the dataset.
21
Number of attributes (columns) of the dataset.
2
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
20
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
1
Average class difference between consecutive instances.
0
Percentage of missing values.
0.02
Number of attributes divided by the number of instances.
95.24
Percentage of numeric attributes.
70
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
700
Number of instances belonging to the most frequent class.
30
Percentage of instances belonging to the least frequent class.
300
Number of instances belonging to the least frequent class.
0
Number of binary attributes.

1 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: creditability
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