Data
German-Credit-Data-Creditability

German-Credit-Data-Creditability

active ARFF Publicly available Visibility: public Uploaded 22-11-2024 by B Gun
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Dataset is uploaded from kaggle, see citation for the link.

72 features

creditability (target)nominal2 unique values
0 missing
duration_of_credit_monthlynumeric33 unique values
0 missing
credit_amountnumeric923 unique values
0 missing
age_yearsnumeric53 unique values
0 missing
account_balance_1string2 unique values
0 missing
account_balance_2string2 unique values
0 missing
account_balance_3string2 unique values
0 missing
account_balance_4string2 unique values
0 missing
payment_status_of_previous_credit_0string2 unique values
0 missing
payment_status_of_previous_credit_1string2 unique values
0 missing
payment_status_of_previous_credit_2string2 unique values
0 missing
payment_status_of_previous_credit_3string2 unique values
0 missing
payment_status_of_previous_credit_4string2 unique values
0 missing
purpose_0string2 unique values
0 missing
purpose_1string2 unique values
0 missing
purpose_2string2 unique values
0 missing
purpose_3string2 unique values
0 missing
purpose_4string2 unique values
0 missing
purpose_5string2 unique values
0 missing
purpose_6string2 unique values
0 missing
purpose_8string2 unique values
0 missing
purpose_9string2 unique values
0 missing
purpose_10string2 unique values
0 missing
value_savings_stocks_1string2 unique values
0 missing
value_savings_stocks_2string2 unique values
0 missing
value_savings_stocks_3string2 unique values
0 missing
value_savings_stocks_4string2 unique values
0 missing
value_savings_stocks_5string2 unique values
0 missing
length_of_current_employment_1string2 unique values
0 missing
length_of_current_employment_2string2 unique values
0 missing
length_of_current_employment_3string2 unique values
0 missing
length_of_current_employment_4string2 unique values
0 missing
length_of_current_employment_5string2 unique values
0 missing
instalment_per_cent_1string2 unique values
0 missing
instalment_per_cent_2string2 unique values
0 missing
instalment_per_cent_3string2 unique values
0 missing
instalment_per_cent_4string2 unique values
0 missing
sex_marital_status_1string2 unique values
0 missing
sex_marital_status_2string2 unique values
0 missing
sex_marital_status_3string2 unique values
0 missing
sex_marital_status_4string2 unique values
0 missing
guarantors_1string2 unique values
0 missing
guarantors_2string2 unique values
0 missing
guarantors_3string2 unique values
0 missing
duration_in_current_address_1string2 unique values
0 missing
duration_in_current_address_2string2 unique values
0 missing
duration_in_current_address_3string2 unique values
0 missing
duration_in_current_address_4string2 unique values
0 missing
most_valuable_available_asset_1string2 unique values
0 missing
most_valuable_available_asset_2string2 unique values
0 missing
most_valuable_available_asset_3string2 unique values
0 missing
most_valuable_available_asset_4string2 unique values
0 missing
concurrent_credits_1string2 unique values
0 missing
concurrent_credits_2string2 unique values
0 missing
concurrent_credits_3string2 unique values
0 missing
type_of_apartment_1string2 unique values
0 missing
type_of_apartment_2string2 unique values
0 missing
type_of_apartment_3string2 unique values
0 missing
no_of_credits_at_this_bank_1string2 unique values
0 missing
no_of_credits_at_this_bank_2string2 unique values
0 missing
no_of_credits_at_this_bank_3string2 unique values
0 missing
no_of_credits_at_this_bank_4string2 unique values
0 missing
occupation_1string2 unique values
0 missing
occupation_2string2 unique values
0 missing
occupation_3string2 unique values
0 missing
occupation_4string2 unique values
0 missing
no_of_dependents_1string2 unique values
0 missing
no_of_dependents_2string2 unique values
0 missing
telephone_1string2 unique values
0 missing
telephone_2string2 unique values
0 missing
foreign_worker_1string2 unique values
0 missing
foreign_worker_2string2 unique values
0 missing

19 properties

1000
Number of instances (rows) of the dataset.
72
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.
3
Number of numeric attributes.
1
Number of nominal attributes.
1.39
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
0.93
Average class difference between consecutive instances.
4.17
Percentage of numeric attributes.
0.07
Number of attributes divided by the number of instances.
1.39
Percentage of nominal attributes.
70
Percentage of instances belonging to the most frequent class.
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.
1
Number of binary attributes.

1 tasks

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