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BNG(pendigits,nominal,1000000)

BNG(pendigits,nominal,1000000)

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

class (target)nominal10 unique values
0 missing
input1nominal3 unique values
0 missing
input2nominal3 unique values
0 missing
input3nominal3 unique values
0 missing
input4nominal3 unique values
0 missing
input5nominal3 unique values
0 missing
input6nominal3 unique values
0 missing
input7nominal3 unique values
0 missing
input8nominal3 unique values
0 missing
input9nominal3 unique values
0 missing
input10nominal3 unique values
0 missing
input11nominal3 unique values
0 missing
input12nominal3 unique values
0 missing
input13nominal3 unique values
0 missing
input14nominal3 unique values
0 missing
input15nominal3 unique values
0 missing
input16nominal3 unique values
0 missing
Show all 17 features

19 properties

NumberOfInstances
1000000
Number of instances (rows) of the dataset.
NumberOfFeatures
17
Number of attributes (columns) of the dataset.
NumberOfClasses
10
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
0
Number of numeric attributes.
NumberOfSymbolicFeatures
17
Number of nominal attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
AutoCorrelation
0.1
Average class difference between consecutive instances.
PercentageOfNumericFeatures
0
Percentage of numeric attributes.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfSymbolicFeatures
100
Percentage of nominal attributes.
MajorityClassPercentage
10.46
Percentage of instances belonging to the most frequent class.
MajorityClassSize
104573
Number of instances belonging to the most frequent class.
MinorityClassPercentage
9.53
Percentage of instances belonging to the least frequent class.
MinorityClassSize
95300
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
Show all 19 properties

26 tasks

Supervised Classification on BNG(pendigits,nominal,1000000)
20 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Classification on BNG(pendigits,nominal,1000000)
0 runs - estimation_procedure: 5 times 2-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Classification on BNG(pendigits,nominal,1000000)
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Classification on BNG(pendigits,nominal,1000000)
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: precision - target_feature: class
Supervised Classification on BNG(pendigits,nominal,1000000)
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: class
Learning Curve on BNG(pendigits,nominal,1000000)
0 runs - estimation_procedure: 10-fold Learning Curve - evaluation_measure: predictive_accuracy - target_feature: class
Learning Curve on BNG(pendigits,nominal,1000000)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(pendigits,nominal,1000000)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(pendigits,nominal,1000000)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(pendigits,nominal,1000000)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(pendigits,nominal,1000000)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(pendigits,nominal,1000000)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(pendigits,nominal,1000000)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(pendigits,nominal,1000000)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Supervised Data Stream Classification on BNG(pendigits,nominal,1000000)
47 runs - estimation_procedure: Interleaved Test then Train - target_feature: class
Clustering on BNG(pendigits,nominal,1000000)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(pendigits,nominal,1000000)
0 runs
Clustering on BNG(pendigits,nominal,1000000)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(pendigits,nominal,1000000)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(pendigits,nominal,1000000)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(pendigits,nominal,1000000)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(pendigits,nominal,1000000)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(pendigits,nominal,1000000)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(pendigits,nominal,1000000)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(pendigits,nominal,1000000)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(pendigits,nominal,1000000)
0 runs - estimation_procedure: 50 times Clustering
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