Data
BNG(ionosphere)

BNG(ionosphere)

active ARFF Publicly available Visibility: public Uploaded 09-04-2014 by Jan van Rijn
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35 features

class (target)nominal2 unique values
0 missing
a01nominal3 unique values
0 missing
a02nominal1 unique values
0 missing
a03nominal3 unique values
0 missing
a04nominal3 unique values
0 missing
a05nominal3 unique values
0 missing
a06nominal3 unique values
0 missing
a07nominal3 unique values
0 missing
a08nominal3 unique values
0 missing
a09nominal3 unique values
0 missing
a10nominal3 unique values
0 missing
a11nominal3 unique values
0 missing
a12nominal3 unique values
0 missing
a13nominal3 unique values
0 missing
a14nominal3 unique values
0 missing
a15nominal3 unique values
0 missing
a16nominal3 unique values
0 missing
a17nominal3 unique values
0 missing
a18nominal3 unique values
0 missing
a19nominal3 unique values
0 missing
a20nominal3 unique values
0 missing
a21nominal3 unique values
0 missing
a22nominal3 unique values
0 missing
a23nominal3 unique values
0 missing
a24nominal3 unique values
0 missing
a25nominal3 unique values
0 missing
a26nominal3 unique values
0 missing
a27nominal3 unique values
0 missing
a28nominal3 unique values
0 missing
a29nominal3 unique values
0 missing
a30nominal3 unique values
0 missing
a31nominal3 unique values
0 missing
a32nominal3 unique values
0 missing
a33nominal3 unique values
0 missing
a34nominal3 unique values
0 missing
Show all 35 features

19 properties

NumberOfInstances
1000000
Number of instances (rows) of the dataset.
NumberOfFeatures
35
Number of attributes (columns) of the dataset.
NumberOfClasses
2
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
35
Number of nominal attributes.
PercentageOfBinaryFeatures
2.86
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
AutoCorrelation
0.54
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
0
Percentage of numeric attributes.
MajorityClassPercentage
64.1
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
100
Percentage of nominal attributes.
MajorityClassSize
641025
Number of instances belonging to the most frequent class.
MinorityClassPercentage
35.9
Percentage of instances belonging to the least frequent class.
MinorityClassSize
358975
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
1
Number of binary attributes.
Show all 19 properties

26 tasks

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