Data
Credit_Score_Classification

Credit_Score_Classification

active ARFF CC BY 4.0 Visibility: public Uploaded 25-11-2024 by Anna Wiewer
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This dataset contains customer credit score information, which can be used for classification purposes. Target Variable: Credit Score: - Poor (0): Customers with a low credit score. - Standard (1): Customers with an average credit score. - Good (2): Customers with a high credit score. Features include various attributes such as income, number of credit cards, loan information, and other financial indicators.

28 features

credit_score (target)nominal3 unique values
0 missing
idstring100000 unique values
0 missing
customer_idstring12500 unique values
0 missing
monthstring8 unique values
0 missing
namestring10139 unique values
9985 missing
agenumeric1728 unique values
0 missing
ssnstring12501 unique values
0 missing
occupationstring16 unique values
0 missing
annual_incomenumeric13487 unique values
0 missing
monthly_inhand_salarynumeric13235 unique values
15002 missing
num_bank_accountsnumeric942 unique values
0 missing
num_credit_cardnumeric1179 unique values
0 missing
interest_ratenumeric1750 unique values
0 missing
num_of_loannumeric413 unique values
0 missing
type_of_loanstring6260 unique values
11408 missing
delay_from_due_datenumeric68 unique values
0 missing
num_of_delayed_paymentnumeric708 unique values
7002 missing
changed_credit_limitnumeric4375 unique values
2091 missing
num_credit_inquiriesnumeric1223 unique values
1965 missing
credit_mixstring4 unique values
0 missing
outstanding_debtnumeric12203 unique values
0 missing
credit_utilization_rationumeric100000 unique values
0 missing
credit_history_agestring404 unique values
9030 missing
payment_of_min_amountstring3 unique values
0 missing
total_emi_per_monthnumeric14950 unique values
0 missing
amount_invested_monthlynumeric91049 unique values
4479 missing
payment_behaviourstring7 unique values
0 missing
monthly_balancenumeric98792 unique values
1200 missing
credit_score_numeric (ignore)numeric3 unique values
0 missing
Show all 28 features

19 properties

NumberOfInstances
100000
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
62162
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
48053
Number of instances with at least one value missing.
NumberOfNumericFeatures
16
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
NumberOfBinaryFeatures
0
Number of binary attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
48.05
Percentage of instances having missing values.
AutoCorrelation
0.77
Average class difference between consecutive instances.
PercentageOfMissingValues
2.22
Percentage of missing values.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
57.14
Percentage of numeric attributes.
MajorityClassPercentage
53.17
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
3.57
Percentage of nominal attributes.
MajorityClassSize
53174
Number of instances belonging to the most frequent class.
MinorityClassPercentage
17.83
Percentage of instances belonging to the least frequent class.
MinorityClassSize
17828
Number of instances belonging to the least frequent class.
Show all 19 properties

1 tasks

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