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active ARFF See source Visibility: public Uploaded 21-06-2022 by Leo Grin
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Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "classification on numerical features" benchmark. Original source: https://www.kaggle.com/competitions/GiveMeSomeCredit/overview Please give credit to the original source if you use this dataset.

11 features

SeriousDlqin2yrs (target)nominal2 unique values
0 missing
RevolvingUtilizationOfUnsecuredLinesnumeric13887 unique values
0 missing
agenumeric78 unique values
0 missing
NumberOfTime30-59DaysPastDueNotWorsenumeric16 unique values
0 missing
DebtRationumeric16128 unique values
0 missing
MonthlyIncomenumeric5150 unique values
0 missing
NumberOfOpenCreditLinesAndLoansnumeric48 unique values
0 missing
NumberOfTimes90DaysLatenumeric18 unique values
0 missing
NumberRealEstateLoansOrLinesnumeric20 unique values
0 missing
NumberOfTime60-89DaysPastDueNotWorsenumeric12 unique values
0 missing
NumberOfDependentsnumeric9 unique values
0 missing

19 properties

16714
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.
50
Percentage of instances belonging to the most frequent class.
8357
Number of instances belonging to the most frequent class.
50
Percentage of instances belonging to the least frequent class.
8357
Number of instances belonging to the least frequent class.
1
Number of binary attributes.
9.09
Percentage of binary attributes.
0
Percentage of instances having missing values.
1
Average class difference between consecutive instances.
0
Percentage of missing values.
90.91
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.

2 tasks

2 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: SeriousDlqin2yrs
0 runs - estimation_procedure: 4-fold Crossvalidation - target_feature: SeriousDlqin2yrs
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