DEVELOPMENT... OpenML

Data

JavaScript is required to properly view the contents of this page!

Explore
- Data
- Task
- Flow
- Run
- Study
- Task type
- Measure
- People
Help
Blog
Contact
Please cite us

dataset_31_credit-g

dataset_31_credit-g

active ARFF Free Visibility: public Uploaded 26-08-2020 by Linda
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

test

21 features

residence_since	numeric	4 unique values 0 missing
class	string	2 unique values 0 missing
foreign_worker	string	2 unique values 0 missing
own_telephone	string	2 unique values 0 missing
num_dependents	numeric	2 unique values 0 missing
job	string	4 unique values 0 missing
existing_credits	numeric	4 unique values 0 missing
housing	string	3 unique values 0 missing
other_payment_plans	string	3 unique values 0 missing
age	numeric	53 unique values 0 missing
property_magnitude	string	4 unique values 0 missing
checking_status	string	4 unique values 0 missing
other_parties	string	3 unique values 0 missing
personal_status	string	4 unique values 0 missing
installment_commitment	numeric	4 unique values 0 missing
employment	string	5 unique values 0 missing
savings_status	string	5 unique values 0 missing
credit_amount	numeric	921 unique values 0 missing
purpose	string	10 unique values 0 missing
credit_history	string	5 unique values 0 missing
duration	numeric	33 unique values 0 missing

Show all 21 features

19 properties

NumberOfInstances

1000

Number of instances (rows) of the dataset.

NumberOfFeatures

21

Number of attributes (columns) of the dataset.

NumberOfClasses

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

7

Number of numeric attributes.

NumberOfSymbolicFeatures

0

Number of nominal attributes.

PercentageOfSymbolicFeatures

0

Percentage of nominal attributes.

AutoCorrelation

Average class difference between consecutive instances.

PercentageOfNumericFeatures

33.33

Percentage of numeric attributes.

PercentageOfMissingValues

0

Percentage of missing values.

PercentageOfInstancesWithMissingValues

0

Percentage of instances having missing values.

PercentageOfBinaryFeatures

0

Percentage of binary attributes.

NumberOfBinaryFeatures

0

Number of binary attributes.

MinorityClassSize

Number of instances belonging to the least frequent class.

MinorityClassPercentage

Percentage of instances belonging to the least frequent class.

MajorityClassSize

Number of instances belonging to the most frequent class.

MajorityClassPercentage

Percentage of instances belonging to the most frequent class.

0.02

Number of attributes divided by the number of instances.

Show all 19 properties

6 tasks

Clustering on dataset_31_credit-g

0 runs - estimation_procedure: 50 times Clustering

Clustering on dataset_31_credit-g

0 runs - estimation_procedure: 50 times Clustering

Clustering on dataset_31_credit-g

0 runs - estimation_procedure: 50 times Clustering

Clustering on dataset_31_credit-g

0 runs - estimation_procedure: 50 times Clustering

Clustering on dataset_31_credit-g

0 runs - estimation_procedure: 50 times Clustering

Clustering on dataset_31_credit-g

0 runs - estimation_procedure: 50 times Clustering

Define a new task