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a6a

a6a

active Sparse_ARFF Publicly available Visibility: public Uploaded 27-04-2015 by unknown
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Author: Ronny Kohavi","Barry Becker libSVM","AAD group Source: [original](http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html) - Date unknown Please cite: http://archive.ics.uci.edu/ml/datasets/Adult #Dataset from the LIBSVM data repository. Preprocessing: The original Adult data set has 14 features, among which six are continuous and eight are categorical. In this data set, continuous features are discretized into quantiles, and each quantile is represented by a binary feature. Also, a categorical feature with m categories is converted to m binary features. Details on how each feature is converted can be found in the beginning of each file from this page. http://research.microsoft.com/en-us/um/people/jplatt/adult.zip

124 features

class (target)numeric2 unique values
0 missing
att_1numeric2 unique values
0 missing
att_2numeric2 unique values
0 missing
att_3numeric2 unique values
0 missing
att_4numeric2 unique values
0 missing
att_5numeric2 unique values
0 missing
att_6numeric2 unique values
0 missing
att_7numeric2 unique values
0 missing
att_8numeric2 unique values
0 missing
att_9numeric2 unique values
0 missing
att_10numeric2 unique values
0 missing
att_11numeric2 unique values
0 missing
att_12numeric2 unique values
0 missing
att_13numeric2 unique values
0 missing
att_14numeric2 unique values
0 missing
att_15numeric2 unique values
0 missing
att_16numeric2 unique values
0 missing
att_17numeric2 unique values
0 missing
att_18numeric2 unique values
0 missing
att_19numeric2 unique values
0 missing
att_20numeric2 unique values
0 missing
att_21numeric2 unique values
0 missing
att_22numeric2 unique values
0 missing
att_23numeric2 unique values
0 missing
att_24numeric2 unique values
0 missing
att_25numeric2 unique values
0 missing
att_26numeric2 unique values
0 missing
att_27numeric2 unique values
0 missing
att_28numeric2 unique values
0 missing
att_29numeric2 unique values
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att_30numeric2 unique values
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att_31numeric2 unique values
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att_32numeric2 unique values
0 missing
att_33numeric2 unique values
0 missing
att_34numeric2 unique values
0 missing
att_35numeric2 unique values
0 missing
att_36numeric2 unique values
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att_37numeric2 unique values
0 missing
att_38numeric2 unique values
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att_39numeric2 unique values
0 missing
att_40numeric2 unique values
0 missing
att_41numeric2 unique values
0 missing
att_42numeric2 unique values
0 missing
att_43numeric2 unique values
0 missing
att_44numeric2 unique values
0 missing
att_45numeric2 unique values
0 missing
att_46numeric2 unique values
0 missing
att_47numeric2 unique values
0 missing
att_48numeric2 unique values
0 missing
att_49numeric2 unique values
0 missing
att_50numeric2 unique values
0 missing
att_51numeric2 unique values
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att_52numeric2 unique values
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att_53numeric2 unique values
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att_54numeric2 unique values
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att_55numeric2 unique values
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att_56numeric2 unique values
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att_57numeric2 unique values
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att_58numeric2 unique values
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att_59numeric2 unique values
0 missing
att_60numeric2 unique values
0 missing
att_61numeric2 unique values
0 missing
att_62numeric2 unique values
0 missing
att_63numeric2 unique values
0 missing
att_64numeric2 unique values
0 missing
att_65numeric2 unique values
0 missing
att_66numeric2 unique values
0 missing
att_67numeric2 unique values
0 missing
att_68numeric2 unique values
0 missing
att_69numeric2 unique values
0 missing
att_70numeric2 unique values
0 missing
att_71numeric2 unique values
0 missing
att_72numeric2 unique values
0 missing
att_73numeric2 unique values
0 missing
att_74numeric2 unique values
0 missing
att_75numeric2 unique values
0 missing
att_76numeric2 unique values
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att_77numeric2 unique values
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att_78numeric2 unique values
0 missing
att_79numeric2 unique values
0 missing
att_80numeric2 unique values
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att_81numeric2 unique values
0 missing
att_82numeric2 unique values
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att_83numeric2 unique values
0 missing
att_84numeric2 unique values
0 missing
att_85numeric2 unique values
0 missing
att_86numeric2 unique values
0 missing
att_87numeric2 unique values
0 missing
att_88numeric2 unique values
0 missing
att_89numeric2 unique values
0 missing
att_90numeric2 unique values
0 missing
att_91numeric2 unique values
0 missing
att_92numeric2 unique values
0 missing
att_93numeric2 unique values
0 missing
att_94numeric2 unique values
0 missing
att_95numeric2 unique values
0 missing
att_96numeric2 unique values
0 missing
att_97numeric2 unique values
0 missing
att_98numeric2 unique values
0 missing
att_99numeric2 unique values
0 missing
att_100numeric2 unique values
0 missing
att_101numeric2 unique values
0 missing
att_102numeric2 unique values
0 missing
att_103numeric2 unique values
0 missing
att_104numeric2 unique values
0 missing
att_105numeric2 unique values
0 missing
att_106numeric2 unique values
0 missing
att_107numeric2 unique values
0 missing
att_108numeric2 unique values
0 missing
att_109numeric2 unique values
0 missing
att_110numeric2 unique values
0 missing
att_111numeric2 unique values
0 missing
att_112numeric2 unique values
0 missing
att_113numeric2 unique values
0 missing
att_114numeric2 unique values
0 missing
att_115numeric2 unique values
0 missing
att_116numeric2 unique values
0 missing
att_117numeric2 unique values
0 missing
att_118numeric2 unique values
0 missing
att_119numeric2 unique values
0 missing
att_120numeric2 unique values
0 missing
att_121numeric2 unique values
0 missing
att_122numeric2 unique values
0 missing
att_123numeric2 unique values
0 missing
Show first 100 features

107 properties

NumberOfInstances
32561
Number of instances (rows) of the dataset.
NumberOfFeatures
124
Number of attributes (columns) of the dataset.
NumberOfClasses
0
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
124
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
AutoCorrelation
0.27
Average class difference between consecutive instances.
CfsSubsetEval_DecisionStumpAUC
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
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
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
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
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
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
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
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
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
Entropy of the target attribute values.
DecisionStumpAUC
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
DecisionStumpErrRate
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
DecisionStumpKappa
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
Dimensionality
0
Number of attributes divided by the number of instances.
EquivalentNumberOfAtts
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
J48.00001.AUC
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.00001.ErrRate
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.00001.Kappa
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.0001.AUC
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.0001.ErrRate
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.0001.Kappa
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.001.AUC
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
J48.001.ErrRate
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
J48.001.Kappa
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
MajorityClassSize
Number of instances belonging to the most frequent class.
MaxAttributeEntropy
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
32561
Maximum kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
0.95
Maximum of means among attributes of the numeric type.
MaxMutualInformation
Maximum mutual information between the nominal attributes and the target attribute.
MaxNominalAttDistinctValues
The maximum number of distinct values among attributes of the nominal type.
MaxSkewnessOfNumericAtts
180.45
Maximum skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
0.86
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
Average entropy of the attributes.
MeanKurtosisOfNumericAtts
680.03
Mean kurtosis among attributes of the numeric type.
MeanMeansOfNumericAtts
0.11
Mean of means among attributes of the numeric type.
MeanMutualInformation
Average mutual information between the nominal attributes and the target attribute.
MeanNoiseToSignalRatio
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
MeanNominalAttDistinctValues
Average number of distinct values among the attributes of the nominal type.
MeanSkewnessOfNumericAtts
14.6
Mean skewness among attributes of the numeric type.
MeanStdDevOfNumericAtts
0.2
Mean standard deviation of attributes of the numeric type.
MinAttributeEntropy
Minimal entropy among attributes.
MinKurtosisOfNumericAtts
-1.98
Minimum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
-0.52
Minimum of means among attributes of the numeric type.
MinMutualInformation
Minimal mutual information between the nominal attributes and the target attribute.
MinNominalAttDistinctValues
The minimal number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-4.3
Minimum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.01
Minimum standard deviation of attributes of the numeric type.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
NaiveBayesAUC
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NaiveBayesErrRate
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NaiveBayesKappa
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NumberOfBinaryFeatures
0
Number of binary attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfNumericFeatures
100
Percentage of numeric attributes.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
Quartile1AttributeEntropy
First quartile of entropy among attributes.
Quartile1KurtosisOfNumericAtts
2.86
First quartile of kurtosis among attributes of the numeric type.
Quartile1MeansOfNumericAtts
0
First quartile of means among attributes of the numeric type.
Quartile1MutualInformation
First quartile of mutual information between the nominal attributes and the target attribute.
Quartile1SkewnessOfNumericAtts
1.83
First quartile of skewness among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
0.05
First quartile of standard deviation of attributes of the numeric type.
Quartile2AttributeEntropy
Second quartile (Median) of entropy among attributes.
Quartile2KurtosisOfNumericAtts
27.81
Second quartile (Median) of kurtosis among attributes of the numeric type.
Quartile2MeansOfNumericAtts
0.03
Second quartile (Median) of means among attributes of the numeric type.
Quartile2MutualInformation
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Quartile2SkewnessOfNumericAtts
5.46
Second quartile (Median) of skewness among attributes of the numeric type.
Quartile2StdDevOfNumericAtts
0.17
Second quartile (Median) of standard deviation of attributes of the numeric type.
Quartile3AttributeEntropy
Third quartile of entropy among attributes.
Quartile3KurtosisOfNumericAtts
475.85
Third quartile of kurtosis among attributes of the numeric type.
Quartile3MeansOfNumericAtts
0.15
Third quartile of means among attributes of the numeric type.
Quartile3MutualInformation
Third quartile of mutual information between the nominal attributes and the target attribute.
Quartile3SkewnessOfNumericAtts
21.86
Third quartile of skewness among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
0.34
Third quartile of standard deviation of attributes of the numeric type.
REPTreeDepth1AUC
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth1ErrRate
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth1Kappa
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth2AUC
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth2ErrRate
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth2Kappa
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth3AUC
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
REPTreeDepth3ErrRate
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
REPTreeDepth3Kappa
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
RandomTreeDepth1AUC
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth1ErrRate
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth1Kappa
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth2AUC
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth2ErrRate
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth2Kappa
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth3AUC
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
RandomTreeDepth3ErrRate
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
RandomTreeDepth3Kappa
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
StdvNominalAttDistinctValues
Standard deviation of the number of distinct values among attributes of the nominal type.
kNN1NAUC
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
kNN1NErrRate
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
kNN1NKappa
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
Show all 107 properties

16 tasks

Supervised Regression on a6a
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Regression on a6a
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Regression on a6a
0 runs - estimation_procedure: 5 times 2-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Regression on a6a
0 runs - estimation_procedure: Custom 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Regression on a6a
0 runs - estimation_procedure: Test on Training Data - evaluation_measure: predictive_accuracy - target_feature: class
Clustering on a6a
0 runs
Clustering on a6a
0 runs - estimation_procedure: 50 times Clustering
Clustering on a6a
0 runs - estimation_procedure: 50 times Clustering
Clustering on a6a
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Clustering on a6a
0 runs - estimation_procedure: 50 times Clustering
Clustering on a6a
0 runs - estimation_procedure: 50 times Clustering
Clustering on a6a
0 runs - estimation_procedure: 50 times Clustering
Clustering on a6a
0 runs - estimation_procedure: 50 times Clustering
Clustering on a6a
0 runs - estimation_procedure: 50 times Clustering
Clustering on a6a
0 runs - estimation_procedure: 50 times Clustering
Clustering on a6a
0 runs - estimation_procedure: 50 times Clustering
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