Data
BNG(mfeat-zernike,nominal,1000000)

BNG(mfeat-zernike,nominal,1000000)

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

class (target)nominal10 unique values
0 missing
att1nominal3 unique values
0 missing
att2nominal3 unique values
0 missing
att3nominal3 unique values
0 missing
att4nominal3 unique values
0 missing
att5nominal3 unique values
0 missing
att6nominal3 unique values
0 missing
att7nominal3 unique values
0 missing
att8nominal3 unique values
0 missing
att9nominal3 unique values
0 missing
att10nominal3 unique values
0 missing
att11nominal3 unique values
0 missing
att12nominal3 unique values
0 missing
att13nominal3 unique values
0 missing
att14nominal3 unique values
0 missing
att15nominal3 unique values
0 missing
att16nominal3 unique values
0 missing
att17nominal3 unique values
0 missing
att18nominal3 unique values
0 missing
att19nominal3 unique values
0 missing
att20nominal3 unique values
0 missing
att21nominal3 unique values
0 missing
att22nominal3 unique values
0 missing
att23nominal3 unique values
0 missing
att24nominal3 unique values
0 missing
att25nominal3 unique values
0 missing
att26nominal3 unique values
0 missing
att27nominal3 unique values
0 missing
att28nominal3 unique values
0 missing
att29nominal3 unique values
0 missing
att30nominal3 unique values
0 missing
att31nominal3 unique values
0 missing
att32nominal3 unique values
0 missing
att33nominal3 unique values
0 missing
att34nominal3 unique values
0 missing
att35nominal3 unique values
0 missing
att36nominal3 unique values
0 missing
att37nominal3 unique values
0 missing
att38nominal3 unique values
0 missing
att39nominal3 unique values
0 missing
att40nominal3 unique values
0 missing
att41nominal3 unique values
0 missing
att42nominal3 unique values
0 missing
att43nominal3 unique values
0 missing
att44nominal3 unique values
0 missing
att45nominal3 unique values
0 missing
att46nominal3 unique values
0 missing
att47nominal3 unique values
0 missing

19 properties

1000000
Number of instances (rows) of the dataset.
48
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.
0
Number of numeric attributes.
48
Number of nominal attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
0.1
Average class difference between consecutive instances.
0
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.
100
Percentage of nominal attributes.
10.04
Percentage of instances belonging to the most frequent class.
100380
Number of instances belonging to the most frequent class.
9.94
Percentage of instances belonging to the least frequent class.
99430
Number of instances belonging to the least frequent class.
0
Number of binary attributes.

26 tasks

5 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 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
46 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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