Data
Credit_Score_Classification_downsampled

Credit_Score_Classification_downsampled

active ARFF CC BY 4.0 Visibility: public Uploaded 26-11-2024 by Anna Wiewer
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This dataset contains customer credit score information, which can be used for classification purposes.

28 features

credit_score (target)nominal0 unique values
45000 missing
idstring45000 unique values
0 missing
customer_idstring2778 unique values
34945 missing
monthstring8 unique values
34945 missing
namestring2609 unique values
35957 missing
agenumeric247 unique values
34945 missing
ssnstring2770 unique values
34945 missing
occupationstring16 unique values
34945 missing
annual_incomenumeric2896 unique values
34945 missing
monthly_inhand_salarynumeric2843 unique values
36508 missing
num_bank_accountsnumeric146 unique values
34945 missing
num_credit_cardnumeric223 unique values
34945 missing
interest_ratenumeric200 unique values
34945 missing
num_of_loannumeric51 unique values
34945 missing
type_of_loanstring9 unique values
40116 missing
delay_from_due_datenumeric36 unique values
34945 missing
num_of_delayed_paymentnumeric106 unique values
35691 missing
changed_credit_limitnumeric1983 unique values
35174 missing
num_credit_inquiriesnumeric168 unique values
35149 missing
credit_mixstring3 unique values
34945 missing
outstanding_debtnumeric2744 unique values
34945 missing
credit_utilization_rationumeric10055 unique values
34945 missing
credit_history_agestring313 unique values
35840 missing
payment_of_min_amountstring3 unique values
34945 missing
total_emi_per_monthnumeric1836 unique values
34945 missing
amount_invested_monthlynumeric9163 unique values
35421 missing
payment_behaviourstring7 unique values
34945 missing
monthly_balancenumeric10030 unique values
34970 missing
Show all 28 features

19 properties

NumberOfInstances
45000
Number of instances (rows) of the dataset.
NumberOfFeatures
28
Number of attributes (columns) of the dataset.
NumberOfClasses
1
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
963891
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
42150
Number of instances with at least one value missing.
NumberOfNumericFeatures
16
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
MajorityClassSize
45000
Number of instances belonging to the most frequent class.
MinorityClassPercentage
100
Percentage of instances belonging to the least frequent class.
MinorityClassSize
45000
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
93.67
Percentage of instances having missing values.
AutoCorrelation
0
Average class difference between consecutive instances.
PercentageOfMissingValues
76.5
Percentage of missing values.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
57.14
Percentage of numeric attributes.
MajorityClassPercentage
100
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
3.57
Percentage of nominal attributes.
Show all 19 properties

1 tasks

Supervised Classification on Credit_Score_Classification_downsampled
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: credit_score
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