Data
Is_fraud

Is_fraud

active ARFF CC BY 4.0 Visibility: public Uploaded 20-11-2024 by Anna Wiewer
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A fraud detection dataset for binary classification. The target variable is 'is_fraud', indicating whether a transaction is fraudulent.

22 features

is_fraud (target)nominal2 unique values
0 missing
trans_date_trans_timestring5135 unique values
0 missing
cc_numnumeric668 unique values
0 missing
merchantstring476 unique values
0 missing
categorystring14 unique values
0 missing
amtnumeric4147 unique values
0 missing
firststring282 unique values
0 missing
laststring388 unique values
0 missing
genderstring2 unique values
0 missing
streetstring668 unique values
0 missing
citystring626 unique values
0 missing
statestring48 unique values
0 missing
zipnumeric664 unique values
0 missing
latnumeric663 unique values
0 missing
longnumeric664 unique values
0 missing
city_popnumeric619 unique values
0 missing
jobstring349 unique values
0 missing
dobstring658 unique values
0 missing
trans_numstring5227 unique values
0 missing
unix_timenumeric5135 unique values
0 missing
merch_latnumeric5227 unique values
0 missing
merch_longnumeric5227 unique values
0 missing
Show all 22 features

19 properties

NumberOfInstances
5227
Number of instances (rows) of the dataset.
NumberOfFeatures
22
Number of attributes (columns) of the dataset.
NumberOfClasses
2
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
9
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
PercentageOfBinaryFeatures
4.55
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
AutoCorrelation
0.99
Average class difference between consecutive instances.
PercentageOfNumericFeatures
40.91
Percentage of numeric attributes.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfSymbolicFeatures
4.55
Percentage of nominal attributes.
MajorityClassPercentage
99.69
Percentage of instances belonging to the most frequent class.
MajorityClassSize
5211
Number of instances belonging to the most frequent class.
MinorityClassPercentage
0.31
Percentage of instances belonging to the least frequent class.
MinorityClassSize
16
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
1
Number of binary attributes.
Show all 19 properties

1 tasks

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