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BNG(vowel)

BNG(vowel)

deactivated ARFF Publicly available Visibility: public Uploaded 29-04-2014 by unknown
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13 features

Class (target)nominal11 unique values
0 missing
Train_or_Test (ignore)nominal2 unique values
0 missing
Speaker_Numbernominal15 unique values
0 missing
Sexnominal2 unique values
0 missing
Feature_0numeric849878 unique values
0 missing
Feature_1numeric886540 unique values
0 missing
Feature_2numeric814275 unique values
0 missing
Feature_3numeric832421 unique values
0 missing
Feature_4numeric810029 unique values
0 missing
Feature_5numeric788775 unique values
0 missing
Feature_6numeric738739 unique values
0 missing
Feature_7numeric787136 unique values
0 missing
Feature_8numeric785123 unique values
0 missing
Feature_9numeric791966 unique values
0 missing
Show all 13 features

107 properties

NumberOfInstances
1000000
Number of instances (rows) of the dataset.
NumberOfFeatures
13
Number of attributes (columns) of the dataset.
NumberOfClasses
11
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
10
Number of numeric attributes.
NumberOfSymbolicFeatures
3
Number of nominal attributes.
AutoCorrelation
0.09
Average class difference between consecutive instances.
CfsSubsetEval_DecisionStumpAUC
0.74
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_DecisionStumpErrRate
0.52
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_DecisionStumpKappa
0.42
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_NaiveBayesAUC
0.74
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_NaiveBayesErrRate
0.52
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_NaiveBayesKappa
0.42
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_kNN1NAUC
0.74
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_kNN1NErrRate
0.52
Error rate achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_kNN1NKappa
0.42
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
ClassEntropy
3.46
Entropy of the target attribute values.
DecisionStumpAUC
0.62
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
DecisionStumpErrRate
0.85
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
DecisionStumpKappa
0.07
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
Dimensionality
0
Number of attributes divided by the number of instances.
EquivalentNumberOfAtts
73329.16
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
J48.00001.AUC
0.86
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.00001.ErrRate
0.29
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.00001.Kappa
0.68
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.0001.AUC
0.86
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.0001.ErrRate
0.29
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.0001.Kappa
0.68
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.001.AUC
0.86
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
J48.001.ErrRate
0.29
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
J48.001.Kappa
0.68
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
MajorityClassPercentage
9.14
Percentage of instances belonging to the most frequent class.
MajorityClassSize
91445
Number of instances belonging to the most frequent class.
MaxAttributeEntropy
3.91
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
-0.2
Maximum kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
1.88
Maximum of means among attributes of the numeric type.
MaxMutualInformation
0
Maximum mutual information between the nominal attributes and the target attribute.
MaxNominalAttDistinctValues
15
The maximum number of distinct values among attributes of the nominal type.
MaxSkewnessOfNumericAtts
0.35
Maximum skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
1.17
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
2.45
Average entropy of the attributes.
MeanKurtosisOfNumericAtts
-0.55
Mean kurtosis among attributes of the numeric type.
MeanMeansOfNumericAtts
-0.1
Mean of means among attributes of the numeric type.
MeanMutualInformation
0
Average mutual information between the nominal attributes and the target attribute.
MeanNoiseToSignalRatio
51982.39
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
MeanNominalAttDistinctValues
9.33
Average number of distinct values among the attributes of the nominal type.
MeanSkewnessOfNumericAtts
0.09
Mean skewness among attributes of the numeric type.
MeanStdDevOfNumericAtts
0.7
Mean standard deviation of attributes of the numeric type.
MinAttributeEntropy
1
Minimal entropy among attributes.
MinKurtosisOfNumericAtts
-0.84
Minimum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
-3.2
Minimum of means among attributes of the numeric type.
MinMutualInformation
0
Minimal mutual information between the nominal attributes and the target attribute.
MinNominalAttDistinctValues
2
The minimal number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-0.19
Minimum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.46
Minimum standard deviation of attributes of the numeric type.
MinorityClassPercentage
9.06
Percentage of instances belonging to the least frequent class.
MinorityClassSize
90639
Number of instances belonging to the least frequent class.
NaiveBayesAUC
0.83
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NaiveBayesErrRate
0.63
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NaiveBayesKappa
0.31
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NumberOfBinaryFeatures
1
Number of binary attributes.
PercentageOfBinaryFeatures
7.69
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfNumericFeatures
76.92
Percentage of numeric attributes.
PercentageOfSymbolicFeatures
23.08
Percentage of nominal attributes.
Quartile1AttributeEntropy
1
First quartile of entropy among attributes.
Quartile1KurtosisOfNumericAtts
-0.7
First quartile of kurtosis among attributes of the numeric type.
Quartile1MeansOfNumericAtts
-0.36
First quartile of means among attributes of the numeric type.
Quartile1MutualInformation
0
First quartile of mutual information between the nominal attributes and the target attribute.
Quartile1SkewnessOfNumericAtts
-0.01
First quartile of skewness among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
0.57
First quartile of standard deviation of attributes of the numeric type.
Quartile2AttributeEntropy
2.45
Second quartile (Median) of entropy among attributes.
Quartile2KurtosisOfNumericAtts
-0.55
Second quartile (Median) of kurtosis among attributes of the numeric type.
Quartile2MeansOfNumericAtts
-0.04
Second quartile (Median) of means among attributes of the numeric type.
Quartile2MutualInformation
0
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Quartile2SkewnessOfNumericAtts
0.05
Second quartile (Median) of skewness among attributes of the numeric type.
Quartile2StdDevOfNumericAtts
0.63
Second quartile (Median) of standard deviation of attributes of the numeric type.
Quartile3AttributeEntropy
3.91
Third quartile of entropy among attributes.
Quartile3KurtosisOfNumericAtts
-0.4
Third quartile of kurtosis among attributes of the numeric type.
Quartile3MeansOfNumericAtts
0.54
Third quartile of means among attributes of the numeric type.
Quartile3MutualInformation
0
Third quartile of mutual information between the nominal attributes and the target attribute.
Quartile3SkewnessOfNumericAtts
0.25
Third quartile of skewness among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
0.79
Third quartile of standard deviation of attributes of the numeric type.
REPTreeDepth1AUC
0.93
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth1ErrRate
0.27
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth1Kappa
0.7
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth2AUC
0.93
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth2ErrRate
0.27
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth2Kappa
0.7
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth3AUC
0.93
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
REPTreeDepth3ErrRate
0.27
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
REPTreeDepth3Kappa
0.7
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
RandomTreeDepth1AUC
0.82
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth1ErrRate
0.32
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth1Kappa
0.64
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth2AUC
0.82
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth2ErrRate
0.32
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth2Kappa
0.64
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth3AUC
0.82
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
RandomTreeDepth3ErrRate
0.32
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
RandomTreeDepth3Kappa
0.64
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
StdvNominalAttDistinctValues
6.66
Standard deviation of the number of distinct values among attributes of the nominal type.
kNN1NAUC
0.84
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
kNN1NErrRate
0.3
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
kNN1NKappa
0.67
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
Show all 107 properties

17 tasks

Supervised Classification on BNG(vowel)
1 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Class
Supervised Classification on BNG(vowel)
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: Class
Supervised Classification on BNG(vowel)
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Class
Supervised Classification on BNG(vowel)
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class
Learning Curve on BNG(vowel)
0 runs - estimation_procedure: 10-fold Learning Curve - evaluation_measure: predictive_accuracy - target_feature: Class
Supervised Data Stream Classification on BNG(vowel)
289 runs - estimation_procedure: Interleaved Test then Train - target_feature: Class
Clustering on BNG(vowel)
0 runs
Clustering on BNG(vowel)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(vowel)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(vowel)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(vowel)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(vowel)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(vowel)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(vowel)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(vowel)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(vowel)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(vowel)
0 runs - estimation_procedure: 50 times Clustering
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