Data
BNG(credit-a,nominal,1000000)

BNG(credit-a,nominal,1000000)

active ARFF Publicly available Visibility: public Uploaded 08-04-2014 by Jan van Rijn
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16 features

class (target)nominal2 unique values
0 missing
A1nominal2 unique values
0 missing
A2nominal3 unique values
0 missing
A3nominal3 unique values
0 missing
A4nominal4 unique values
0 missing
A5nominal3 unique values
0 missing
A6nominal14 unique values
0 missing
A7nominal9 unique values
0 missing
A8nominal3 unique values
0 missing
A9nominal2 unique values
0 missing
A10nominal2 unique values
0 missing
A11nominal3 unique values
0 missing
A12nominal2 unique values
0 missing
A13nominal3 unique values
0 missing
A14nominal3 unique values
0 missing
A15nominal3 unique values
0 missing

19 properties

1000000
Number of instances (rows) of the dataset.
16
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.
0
Number of numeric attributes.
16
Number of nominal attributes.
31.25
Percentage of binary attributes.
0
Percentage of instances having missing values.
0.51
Average class difference between consecutive instances.
0
Percentage of missing values.
0
Number of attributes divided by the number of instances.
0
Percentage of numeric attributes.
55.49
Percentage of instances belonging to the most frequent class.
100
Percentage of nominal attributes.
554898
Number of instances belonging to the most frequent class.
44.51
Percentage of instances belonging to the least frequent class.
445102
Number of instances belonging to the least frequent class.
5
Number of binary attributes.

26 tasks

24 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
1 runs - estimation_procedure: 5 times 2-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: precision - target_feature: class
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
48 runs - estimation_procedure: Interleaved Test then Train - target_feature: class
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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