Data
Risk_Level_Classification

Risk_Level_Classification

active ARFF CC BY 4.0 Visibility: public Uploaded 19-11-2024 by Anna Wiewer
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An updated version of the dataset for classifying risk levels in transactions. The target variable 'anomaly' is now treated as nominal with categories: low risk, moderate risk, and high risk.

19 features

anomaly (target)nominal3 unique values
0 missing
hour_of_daynumeric24 unique values
0 missing
amountnumeric76771 unique values
0 missing
ip_prefixnumeric5 unique values
0 missing
login_frequencynumeric8 unique values
0 missing
session_durationnumeric140 unique values
0 missing
risk_scorenumeric31 unique values
0 missing
transaction_type_purchasenumeric2 unique values
0 missing
transaction_type_salenumeric2 unique values
0 missing
transaction_type_scamnumeric2 unique values
0 missing
transaction_type_transfernumeric2 unique values
0 missing
location_region_asianumeric2 unique values
0 missing
location_region_europenumeric2 unique values
0 missing
location_region_north americanumeric2 unique values
0 missing
location_region_south americanumeric2 unique values
0 missing
purchase_pattern_high_valuenumeric2 unique values
0 missing
purchase_pattern_randomnumeric2 unique values
0 missing
age_group_newnumeric2 unique values
0 missing
age_group_veterannumeric2 unique values
0 missing
Show all 19 features

19 properties

NumberOfInstances
78600
Number of instances (rows) of the dataset.
NumberOfFeatures
19
Number of attributes (columns) of the dataset.
NumberOfClasses
3
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
18
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
AutoCorrelation
0.67
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
94.74
Percentage of numeric attributes.
MajorityClassPercentage
80.78
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
5.26
Percentage of nominal attributes.
MajorityClassSize
63494
Number of instances belonging to the most frequent class.
MinorityClassPercentage
8.26
Percentage of instances belonging to the least frequent class.
MinorityClassSize
6495
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
Show all 19 properties

1 tasks

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