Data
Taiwan_Credit_Card_Default_Classification

Taiwan_Credit_Card_Default_Classification

active ARFF CC BY 4.0 Visibility: public Uploaded 22-11-2024 by Yayun Li
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This dataset contains information about credit card default payments in Taiwan. The target variable indicates whether a customer will default on their payment next month. Target classes: default_payment, no_default_payment. Features include demographic information and payment history.

25 features

Y (target)nominal0 unique values
30001 missing
Unnamed: 0string30001 unique values
0 missing
X1string82 unique values
0 missing
X2string3 unique values
0 missing
X3string8 unique values
0 missing
X4string5 unique values
0 missing
X5string57 unique values
0 missing
X6string12 unique values
0 missing
X7string12 unique values
0 missing
X8string12 unique values
0 missing
X9string12 unique values
0 missing
X10string11 unique values
0 missing
X11string11 unique values
0 missing
X12string22724 unique values
0 missing
X13string22347 unique values
0 missing
X14string22027 unique values
0 missing
X15string21549 unique values
0 missing
X16string21011 unique values
0 missing
X17string20605 unique values
0 missing
X18string7944 unique values
0 missing
X19string7900 unique values
0 missing
X20string7519 unique values
0 missing
X21string6938 unique values
0 missing
X22string6898 unique values
0 missing
X23string6940 unique values
0 missing

19 properties

30001
Number of instances (rows) of the dataset.
25
Number of attributes (columns) of the dataset.
1
Number of distinct values of the target attribute (if it is nominal).
30001
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
0
Number of numeric attributes.
1
Number of nominal attributes.
4
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Average class difference between consecutive instances.
4
Percentage of missing values.
0
Number of attributes divided by the number of instances.
0
Percentage of numeric attributes.
100
Percentage of instances belonging to the most frequent class.
4
Percentage of nominal attributes.
30001
Number of instances belonging to the most frequent class.
100
Percentage of instances belonging to the least frequent class.
30001
Number of instances belonging to the least frequent class.
1
Number of binary attributes.

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