Data
BNG(pendigits)

BNG(pendigits)

active ARFF Publicly available Visibility: public Uploaded 29-04-2014 by Jan van Rijn
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17 features

class (target)nominal10 unique values
0 missing
input1numeric781519 unique values
0 missing
input2numeric711063 unique values
0 missing
input3numeric994142 unique values
0 missing
input4numeric616283 unique values
0 missing
input5numeric994331 unique values
0 missing
input6numeric993317 unique values
0 missing
input7numeric994926 unique values
0 missing
input8numeric994526 unique values
0 missing
input9numeric992531 unique values
0 missing
input10numeric790624 unique values
0 missing
input11numeric777454 unique values
0 missing
input12numeric992970 unique values
0 missing
input13numeric992191 unique values
0 missing
input14numeric985747 unique values
0 missing
input15numeric464349 unique values
0 missing
input16numeric659098 unique values
0 missing

19 properties

1000000
Number of instances (rows) of the dataset.
17
Number of attributes (columns) of the dataset.
10
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.
16
Number of numeric attributes.
1
Number of nominal attributes.
104513
Number of instances belonging to the most frequent class.
9.56
Percentage of instances belonging to the least frequent class.
95594
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0.1
Average class difference between consecutive instances.
0
Percentage of missing values.
0
Number of attributes divided by the number of instances.
94.12
Percentage of numeric attributes.
10.45
Percentage of instances belonging to the most frequent class.
5.88
Percentage of nominal attributes.

25 tasks

20 runs - estimation_procedure: 10-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: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: precision - 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
273 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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