Data
German-Credit-Risk-with-Target

German-Credit-Risk-with-Target

active ARFF Publicly available Visibility: public Uploaded 02-06-2024 by K B
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
An extract of the well-known UCI German Credit Risk Dataset with 10 features and one target class

10 features

Risk (target)nominal2 unique values
0 missing
Agenumeric53 unique values
0 missing
Sexnominal2 unique values
0 missing
Jobnumeric4 unique values
0 missing
Housingnominal3 unique values
0 missing
Saving accountsnominal4 unique values
183 missing
Checking accountnominal3 unique values
394 missing
Credit amountnumeric921 unique values
0 missing
Durationnumeric33 unique values
0 missing
Purposestring8 unique values
0 missing
Show all 10 features

19 properties

NumberOfInstances
1000
Number of instances (rows) of the dataset.
NumberOfFeatures
10
Number of attributes (columns) of the dataset.
NumberOfClasses
2
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
577
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
478
Number of instances with at least one value missing.
NumberOfNumericFeatures
4
Number of numeric attributes.
NumberOfSymbolicFeatures
5
Number of nominal attributes.
PercentageOfInstancesWithMissingValues
47.8
Percentage of instances having missing values.
AutoCorrelation
0.57
Average class difference between consecutive instances.
PercentageOfMissingValues
5.77
Percentage of missing values.
Dimensionality
0.01
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
40
Percentage of numeric attributes.
MajorityClassPercentage
70
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
50
Percentage of nominal attributes.
MajorityClassSize
700
Number of instances belonging to the most frequent class.
MinorityClassPercentage
30
Percentage of instances belonging to the least frequent class.
MinorityClassSize
300
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
2
Number of binary attributes.
PercentageOfBinaryFeatures
20
Percentage of binary attributes.
Show all 19 properties

1 tasks

Supervised Classification on German-Credit-Risk-with-Target
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Risk
Define a new task