Data
credit_risk_china

credit_risk_china

active ARFF CC BY 4.0 Visibility: public Uploaded 25-11-2024 by Sebastian Silva Ruiz
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Multi-classification assessment of bank (china) personal credit risk based on multi-source information fusion

28 features

five_categories (target)string5 unique values
0 missing
customer_idnumeric27522 unique values
0 missing
type_of_loan_businessstring22 unique values
0 missing
guarantee_the_balancenumeric20191 unique values
304 missing
account_connection_amountnumeric24789 unique values
304 missing
security_guarantee_amountnumeric20209 unique values
304 missing
five-level_classificationstring11 unique values
0 missing
whether_interest_is_owedstring2 unique values
0 missing
whether_self-service_loanstring2 unique values
0 missing
type_of_guaranteestring17 unique values
299 missing
safety_coefficientnumeric8 unique values
304 missing
collateral_value_(yuan)numeric11577 unique values
322 missing
guarantee_methodstring4 unique values
304 missing
date_codestring3 unique values
0 missing
approval_deadlinenumeric37 unique values
0 missing
whether_devalue_accountstring2 unique values
0 missing
industry_categorystring19 unique values
25444 missing
down_payment_amountnumeric10036 unique values
620 missing
whether_personal_business_loanstring2 unique values
0 missing
whether_interest_is_owed_(regulatory_standard)string2 unique values
0 missing
repayment_typestring2 unique values
745 missing
installment_repayment_method_(numerical_type)numeric2 unique values
757 missing
installment_repayment_method_(discrete_type)string2 unique values
757 missing
installment_repayment_cycle_(numerical_type)string2 unique values
255 missing
repayment_cycle_(discrete_type)string2 unique values
255 missing
number_of_housesnumeric4 unique values
4571 missing
month_property_costsnumeric3344 unique values
1286 missing
family_monthly_incomenumeric2940 unique values
20 missing
Show all 28 features

19 properties

NumberOfInstances
27522
Number of instances (rows) of the dataset.
NumberOfFeatures
28
Number of attributes (columns) of the dataset.
NumberOfClasses
5
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
36851
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
26342
Number of instances with at least one value missing.
NumberOfNumericFeatures
12
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
AutoCorrelation
1
Average class difference between consecutive instances.
PercentageOfMissingValues
4.78
Percentage of missing values.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
42.86
Percentage of numeric attributes.
MajorityClassPercentage
92.71
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
MajorityClassSize
25516
Number of instances belonging to the most frequent class.
MinorityClassPercentage
0.37
Percentage of instances belonging to the least frequent class.
MinorityClassSize
103
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
95.71
Percentage of instances having missing values.
Show all 19 properties

1 tasks

Supervised Classification on credit_risk_china
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: five_categories
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