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BNG(lymph,1000,5)

BNG(lymph,1000,5)

active ARFF public domain Visibility: public Uploaded 23-02-2015 by unknown
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19 features

class (target)nominal4 unique values
0 missing
lym_nodes_enlarnumeric4 unique values
0 missing
no_of_nodes_innumeric375951 unique values
0 missing
exclusion_of_nonominal2 unique values
0 missing
dislocation_ofnominal2 unique values
0 missing
special_formsnominal3 unique values
0 missing
changes_in_strunominal8 unique values
0 missing
changes_in_nodenominal4 unique values
0 missing
defect_in_nodenominal4 unique values
0 missing
changes_in_lymnominal3 unique values
0 missing
lymphaticsnominal4 unique values
0 missing
lym_nodes_diminnumeric3 unique values
0 missing
early_uptake_innominal2 unique values
0 missing
regeneration_ofnominal2 unique values
0 missing
extravasatesnominal2 unique values
0 missing
by_passnominal2 unique values
0 missing
bl_of_lymph_snominal2 unique values
0 missing
bl_of_lymph_cnominal2 unique values
0 missing
block_of_afferenominal2 unique values
0 missing
Show all 19 features

107 properties

NumberOfInstances
1000000
Number of instances (rows) of the dataset.
NumberOfFeatures
19
Number of attributes (columns) of the dataset.
NumberOfClasses
4
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
3
Number of numeric attributes.
NumberOfSymbolicFeatures
16
Number of nominal attributes.
AutoCorrelation
0.46
Average class difference between consecutive instances.
CfsSubsetEval_DecisionStumpAUC
0.61
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
0.43
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
0.15
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
0.61
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
0.43
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
0.15
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
0.61
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
0.43
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
0.15
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
1.26
Entropy of the target attribute values.
DecisionStumpAUC
0.55
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
DecisionStumpErrRate
0.46
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
DecisionStumpKappa
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
Dimensionality
0
Number of attributes divided by the number of instances.
EquivalentNumberOfAtts
498.39
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
J48.00001.AUC
0.61
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.00001.ErrRate
0.41
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.00001.Kappa
0.21
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.0001.AUC
0.61
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.0001.ErrRate
0.41
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.0001.Kappa
0.21
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.001.AUC
0.61
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
J48.001.ErrRate
0.41
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
J48.001.Kappa
0.21
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
MajorityClassPercentage
54.35
Percentage of instances belonging to the most frequent class.
MajorityClassSize
543495
Number of instances belonging to the most frequent class.
MaxAttributeEntropy
2.99
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
-0.66
Maximum kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
3.35
Maximum of means among attributes of the numeric type.
MaxMutualInformation
0.01
Maximum mutual information between the nominal attributes and the target attribute.
MaxNominalAttDistinctValues
8
The maximum number of distinct values among attributes of the nominal type.
MaxSkewnessOfNumericAtts
1.05
Maximum skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
2.17
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
1.37
Average entropy of the attributes.
MeanKurtosisOfNumericAtts
-0.99
Mean kurtosis among attributes of the numeric type.
MeanMeansOfNumericAtts
2.42
Mean of means among attributes of the numeric type.
MeanMutualInformation
0
Average mutual information between the nominal attributes and the target attribute.
MeanNoiseToSignalRatio
543.24
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
MeanNominalAttDistinctValues
3
Average number of distinct values among the attributes of the nominal type.
MeanSkewnessOfNumericAtts
0.6
Mean skewness among attributes of the numeric type.
MeanStdDevOfNumericAtts
1.36
Mean standard deviation of attributes of the numeric type.
MinAttributeEntropy
0.85
Minimal entropy among attributes.
MinKurtosisOfNumericAtts
-1.3
Minimum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
1.53
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
0.18
Minimum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.81
Minimum standard deviation of attributes of the numeric type.
MinorityClassPercentage
1.65
Percentage of instances belonging to the least frequent class.
MinorityClassSize
16508
Number of instances belonging to the least frequent class.
NaiveBayesAUC
0.62
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NaiveBayesErrRate
0.43
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NaiveBayesKappa
0.14
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NumberOfBinaryFeatures
9
Number of binary attributes.
PercentageOfBinaryFeatures
47.37
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfNumericFeatures
15.79
Percentage of numeric attributes.
PercentageOfSymbolicFeatures
84.21
Percentage of nominal attributes.
Quartile1AttributeEntropy
0.97
First quartile of entropy among attributes.
Quartile1KurtosisOfNumericAtts
-1.3
First quartile of kurtosis among attributes of the numeric type.
Quartile1MeansOfNumericAtts
1.53
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
0.18
First quartile of skewness among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
0.81
First quartile of standard deviation of attributes of the numeric type.
Quartile2AttributeEntropy
1
Second quartile (Median) of entropy among attributes.
Quartile2KurtosisOfNumericAtts
-1
Second quartile (Median) of kurtosis among attributes of the numeric type.
Quartile2MeansOfNumericAtts
2.37
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
0.57
Second quartile (Median) of skewness among attributes of the numeric type.
Quartile2StdDevOfNumericAtts
1.1
Second quartile (Median) of standard deviation of attributes of the numeric type.
Quartile3AttributeEntropy
1.95
Third quartile of entropy among attributes.
Quartile3KurtosisOfNumericAtts
-0.66
Third quartile of kurtosis among attributes of the numeric type.
Quartile3MeansOfNumericAtts
3.35
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
1.05
Third quartile of skewness among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
2.17
Third quartile of standard deviation of attributes of the numeric type.
REPTreeDepth1AUC
0.62
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth1ErrRate
0.41
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth1Kappa
0.18
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth2AUC
0.62
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth2ErrRate
0.41
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth2Kappa
0.18
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth3AUC
0.62
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
REPTreeDepth3ErrRate
0.41
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
REPTreeDepth3Kappa
0.18
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
RandomTreeDepth1AUC
0.56
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth1ErrRate
0.48
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth1Kappa
0.11
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth2AUC
0.56
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth2ErrRate
0.48
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth2Kappa
0.11
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth3AUC
0.56
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
RandomTreeDepth3ErrRate
0.48
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
RandomTreeDepth3Kappa
0.11
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
StdvNominalAttDistinctValues
1.59
Standard deviation of the number of distinct values among attributes of the nominal type.
kNN1NAUC
0.58
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
kNN1NErrRate
0.46
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
kNN1NKappa
0.14
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
Show all 107 properties

22 tasks

Supervised Classification on BNG(lymph,1000,5)
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: precision - target_feature: class
Supervised Classification on BNG(lymph,1000,5)
0 runs - estimation_procedure: 33% Holdout set - target_feature: class
Learning Curve on BNG(lymph,1000,5)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(lymph,1000,5)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(lymph,1000,5)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(lymph,1000,5)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(lymph,1000,5)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(lymph,1000,5)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(lymph,1000,5)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(lymph,1000,5)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Supervised Data Stream Classification on BNG(lymph,1000,5)
30 runs - estimation_procedure: Interleaved Test then Train - target_feature: class
Clustering on BNG(lymph,1000,5)
0 runs
Clustering on BNG(lymph,1000,5)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(lymph,1000,5)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(lymph,1000,5)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(lymph,1000,5)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(lymph,1000,5)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(lymph,1000,5)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(lymph,1000,5)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(lymph,1000,5)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(lymph,1000,5)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(lymph,1000,5)
0 runs - estimation_procedure: 50 times Clustering
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