Data
Credit_Score

Credit_Score

active ARFF CC BY 4.0 Visibility: public Uploaded 06-12-2024 by Anna Wiewer
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This dataset is designed to evaluate companies based on quality and valuation metrics.

22 features

Credit_Score (target)nominal3 unique values
0 missing
Agenumeric904 unique values
0 missing
Occupationnumeric16 unique values
0 missing
Annual_Incomenumeric12952 unique values
0 missing
Monthly_Inhand_Salarynumeric12838 unique values
7507 missing
Num_Bank_Accountsnumeric568 unique values
0 missing
Num_Credit_Cardnumeric821 unique values
0 missing
Interest_Ratenumeric958 unique values
0 missing
Num_of_Loannumeric248 unique values
0 missing
Delay_from_due_datenumeric68 unique values
0 missing
Num_of_Delayed_Paymentnumeric394 unique values
3528 missing
Changed_Credit_Limitnumeric3915 unique values
1062 missing
Num_Credit_Inquiriesnumeric689 unique values
993 missing
Credit_Mixnumeric4 unique values
0 missing
Outstanding_Debtnumeric12159 unique values
0 missing
Credit_Utilization_Rationumeric50000 unique values
0 missing
Credit_History_Agenumeric405 unique values
0 missing
Payment_of_Min_Amountnumeric3 unique values
0 missing
Total_EMI_per_monthnumeric13184 unique values
0 missing
Amount_invested_monthlynumeric45451 unique values
2273 missing
Payment_Behaviournumeric7 unique values
0 missing
Monthly_Balancenumeric49408 unique values
587 missing
Show all 22 features

19 properties

NumberOfInstances
50000
Number of instances (rows) of the dataset.
NumberOfFeatures
22
Number of attributes (columns) of the dataset.
NumberOfClasses
3
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
15950
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
14300
Number of instances with at least one value missing.
NumberOfNumericFeatures
21
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
28.6
Percentage of instances having missing values.
PercentageOfMissingValues
1.45
Percentage of missing values.
AutoCorrelation
0.4
Average class difference between consecutive instances.
PercentageOfNumericFeatures
95.45
Percentage of numeric attributes.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfSymbolicFeatures
4.55
Percentage of nominal attributes.
MajorityClassPercentage
53.2
Percentage of instances belonging to the most frequent class.
MajorityClassSize
26602
Number of instances belonging to the most frequent class.
MinorityClassPercentage
17.96
Percentage of instances belonging to the least frequent class.
MinorityClassSize
8980
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
Show all 19 properties

1 tasks

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