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Credit_Score_Classification_downsampled

Credit_Score_Classification_downsampled

active ARFF CC BY 4.0 Visibility: public Uploaded 27-11-2024 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)	nominal	3 unique values 0 missing
ID	string	50000 unique values 0 missing
Customer_ID	string	12454 unique values 0 missing
Month	string	8 unique values 0 missing
Name	string	10088 unique values 4989 missing
Age	numeric	904 unique values 0 missing
SSN	string	12434 unique values 0 missing
Occupation	string	16 unique values 0 missing
Annual_Income	numeric	12952 unique values 0 missing
Monthly_Inhand_Salary	numeric	12838 unique values 7507 missing
Num_Bank_Accounts	numeric	568 unique values 0 missing
Num_Credit_Card	numeric	821 unique values 0 missing
Interest_Rate	numeric	958 unique values 0 missing
Num_of_Loan	numeric	248 unique values 0 missing
Type_of_Loan	string	6240 unique values 5784 missing
Delay_from_due_date	numeric	68 unique values 0 missing
Num_of_Delayed_Payment	numeric	394 unique values 3528 missing
Changed_Credit_Limit	numeric	3915 unique values 1062 missing
Num_Credit_Inquiries	numeric	689 unique values 993 missing
Credit_Mix	string	4 unique values 0 missing
Outstanding_Debt	numeric	12159 unique values 0 missing
Credit_Utilization_Ratio	numeric	50000 unique values 0 missing
Credit_History_Age	string	404 unique values 4548 missing
Payment_of_Min_Amount	string	3 unique values 0 missing
Total_EMI_per_month	numeric	13184 unique values 0 missing
Amount_invested_monthly	numeric	45451 unique values 2273 missing
Payment_Behaviour	string	7 unique values 0 missing
Monthly_Balance	numeric	49408 unique values 587 missing

Show all 28 features

19 properties

NumberOfInstances

50000

Number of instances (rows) of the dataset.

NumberOfFeatures

28

Number of attributes (columns) of the dataset.

NumberOfClasses

3

Number of distinct values of the target attribute (if it is nominal).

NumberOfMissingValues

31271

Number of missing values in the dataset.

NumberOfInstancesWithMissingValues

24191

Number of instances with at least one value missing.

NumberOfNumericFeatures

16

Number of numeric attributes.

NumberOfSymbolicFeatures

1

Number of nominal attributes.

PercentageOfBinaryFeatures

0

Percentage of binary attributes.

PercentageOfInstancesWithMissingValues

48.38

Percentage of instances having missing values.

PercentageOfMissingValues

2.23

Percentage of missing values.

AutoCorrelation

0.4

Average class difference between consecutive instances.

PercentageOfNumericFeatures

57.14

Percentage of numeric attributes.

0

Number of attributes divided by the number of instances.

PercentageOfSymbolicFeatures

3.57

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_Classification_downsampled

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

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