DEVELOPMENT... OpenML
Data
credit

credit

active ARFF See source Visibility: public Uploaded 17-11-2022 by David Wilson
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
Subsampling of the dataset credit (44089) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True

11 features

SeriousDlqin2yrs (target)nominal2 unique values
0 missing
RevolvingUtilizationOfUnsecuredLinesnumeric1687 unique values
0 missing
agenumeric72 unique values
0 missing
NumberOfTime30-59DaysPastDueNotWorsenumeric12 unique values
0 missing
DebtRationumeric1950 unique values
0 missing
MonthlyIncomenumeric1020 unique values
0 missing
NumberOfOpenCreditLinesAndLoansnumeric32 unique values
0 missing
NumberOfTimes90DaysLatenumeric13 unique values
0 missing
NumberRealEstateLoansOrLinesnumeric13 unique values
0 missing
NumberOfTime60-89DaysPastDueNotWorsenumeric9 unique values
0 missing
NumberOfDependentsnumeric9 unique values
0 missing

19 properties

2000
Number of instances (rows) of the dataset.
11
Number of attributes (columns) of the dataset.
2
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
10
Number of numeric attributes.
1
Number of nominal attributes.
9.09
Percentage of nominal attributes.
0.5
Average class difference between consecutive instances.
90.91
Percentage of numeric attributes.
0
Percentage of missing values.
0
Percentage of instances having missing values.
9.09
Percentage of binary attributes.
1
Number of binary attributes.
1000
Number of instances belonging to the least frequent class.
50
Percentage of instances belonging to the least frequent class.
1000
Number of instances belonging to the most frequent class.
50
Percentage of instances belonging to the most frequent class.
0.01
Number of attributes divided by the number of instances.

0 tasks

Define a new task