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a6a

active Sparse_ARFF Publicly available Visibility: public Uploaded 27-04-2015 by Farooq Zuberi
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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)	numeric	2 unique values 0 missing
att_1	numeric	2 unique values 0 missing
att_2	numeric	2 unique values 0 missing
att_3	numeric	2 unique values 0 missing
att_4	numeric	2 unique values 0 missing
att_5	numeric	2 unique values 0 missing
att_6	numeric	2 unique values 0 missing
att_7	numeric	2 unique values 0 missing
att_8	numeric	2 unique values 0 missing
att_9	numeric	2 unique values 0 missing
att_10	numeric	2 unique values 0 missing
att_11	numeric	2 unique values 0 missing
att_12	numeric	2 unique values 0 missing
att_13	numeric	2 unique values 0 missing
att_14	numeric	2 unique values 0 missing
att_15	numeric	2 unique values 0 missing
att_16	numeric	2 unique values 0 missing
att_17	numeric	2 unique values 0 missing
att_18	numeric	2 unique values 0 missing
att_19	numeric	2 unique values 0 missing
att_20	numeric	2 unique values 0 missing
att_21	numeric	2 unique values 0 missing
att_22	numeric	2 unique values 0 missing
att_23	numeric	2 unique values 0 missing
att_24	numeric	2 unique values 0 missing
att_25	numeric	2 unique values 0 missing
att_26	numeric	2 unique values 0 missing
att_27	numeric	2 unique values 0 missing
att_28	numeric	2 unique values 0 missing
att_29	numeric	2 unique values 0 missing
att_30	numeric	2 unique values 0 missing
att_31	numeric	2 unique values 0 missing
att_32	numeric	2 unique values 0 missing
att_33	numeric	2 unique values 0 missing
att_34	numeric	2 unique values 0 missing
att_35	numeric	2 unique values 0 missing
att_36	numeric	2 unique values 0 missing
att_37	numeric	2 unique values 0 missing
att_38	numeric	2 unique values 0 missing
att_39	numeric	2 unique values 0 missing
att_40	numeric	2 unique values 0 missing
att_41	numeric	2 unique values 0 missing
att_42	numeric	2 unique values 0 missing
att_43	numeric	2 unique values 0 missing
att_44	numeric	2 unique values 0 missing
att_45	numeric	2 unique values 0 missing
att_46	numeric	2 unique values 0 missing
att_47	numeric	2 unique values 0 missing
att_48	numeric	2 unique values 0 missing
att_49	numeric	2 unique values 0 missing
att_50	numeric	2 unique values 0 missing
att_51	numeric	2 unique values 0 missing
att_52	numeric	2 unique values 0 missing
att_53	numeric	2 unique values 0 missing
att_54	numeric	2 unique values 0 missing
att_55	numeric	2 unique values 0 missing
att_56	numeric	2 unique values 0 missing
att_57	numeric	2 unique values 0 missing
att_58	numeric	2 unique values 0 missing
att_59	numeric	2 unique values 0 missing
att_60	numeric	2 unique values 0 missing
att_61	numeric	2 unique values 0 missing
att_62	numeric	2 unique values 0 missing
att_63	numeric	2 unique values 0 missing
att_64	numeric	2 unique values 0 missing
att_65	numeric	2 unique values 0 missing
att_66	numeric	2 unique values 0 missing
att_67	numeric	2 unique values 0 missing
att_68	numeric	2 unique values 0 missing
att_69	numeric	2 unique values 0 missing
att_70	numeric	2 unique values 0 missing
att_71	numeric	2 unique values 0 missing
att_72	numeric	2 unique values 0 missing
att_73	numeric	2 unique values 0 missing
att_74	numeric	2 unique values 0 missing
att_75	numeric	2 unique values 0 missing
att_76	numeric	2 unique values 0 missing
att_77	numeric	2 unique values 0 missing
att_78	numeric	2 unique values 0 missing
att_79	numeric	2 unique values 0 missing
att_80	numeric	2 unique values 0 missing
att_81	numeric	2 unique values 0 missing
att_82	numeric	2 unique values 0 missing
att_83	numeric	2 unique values 0 missing
att_84	numeric	2 unique values 0 missing
att_85	numeric	2 unique values 0 missing
att_86	numeric	2 unique values 0 missing
att_87	numeric	2 unique values 0 missing
att_88	numeric	2 unique values 0 missing
att_89	numeric	2 unique values 0 missing
att_90	numeric	2 unique values 0 missing
att_91	numeric	2 unique values 0 missing
att_92	numeric	2 unique values 0 missing
att_93	numeric	2 unique values 0 missing
att_94	numeric	2 unique values 0 missing
att_95	numeric	2 unique values 0 missing
att_96	numeric	2 unique values 0 missing
att_97	numeric	2 unique values 0 missing
att_98	numeric	2 unique values 0 missing
att_99	numeric	2 unique values 0 missing
att_100	numeric	2 unique values 0 missing
att_101	numeric	2 unique values 0 missing
att_102	numeric	2 unique values 0 missing
att_103	numeric	2 unique values 0 missing
att_104	numeric	2 unique values 0 missing
att_105	numeric	2 unique values 0 missing
att_106	numeric	2 unique values 0 missing
att_107	numeric	2 unique values 0 missing
att_108	numeric	2 unique values 0 missing
att_109	numeric	2 unique values 0 missing
att_110	numeric	2 unique values 0 missing
att_111	numeric	2 unique values 0 missing
att_112	numeric	2 unique values 0 missing
att_113	numeric	2 unique values 0 missing
att_114	numeric	2 unique values 0 missing
att_115	numeric	2 unique values 0 missing
att_116	numeric	2 unique values 0 missing
att_117	numeric	2 unique values 0 missing
att_118	numeric	2 unique values 0 missing
att_119	numeric	2 unique values 0 missing
att_120	numeric	2 unique values 0 missing
att_121	numeric	2 unique values 0 missing
att_122	numeric	2 unique values 0 missing
att_123	numeric	2 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

Number of distinct values of the target attribute (if it is nominal).

NumberOfMissingValues

Number of missing values in the dataset.

NumberOfInstancesWithMissingValues

Number of instances with at least one value missing.

NumberOfNumericFeatures

124

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

REPTreeDepth3Kappa

Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3

DecisionStumpKappa

Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump

MaxMeansOfNumericAtts

0.95

Maximum of means among attributes of the numeric type.

MinMutualInformation

Minimal mutual information between the nominal attributes and the target attribute.

Quartile2SkewnessOfNumericAtts

5.46

Second quartile (Median) of skewness among attributes of the numeric type.

RandomTreeDepth1AUC

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

Dimensionality

Number of attributes divided by the number of instances.

MaxMutualInformation

Maximum mutual information between the nominal attributes and the target attribute.

MinNominalAttDistinctValues

The minimal number of distinct values among attributes of the nominal type.

PercentageOfBinaryFeatures

Percentage of binary attributes.

Quartile2StdDevOfNumericAtts

0.17

Second quartile (Median) of standard deviation of attributes of the numeric type.

RandomTreeDepth1ErrRate

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

EquivalentNumberOfAtts

Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.

MaxNominalAttDistinctValues

The maximum number of distinct values among attributes of the nominal type.

MinSkewnessOfNumericAtts

-4.3

Minimum skewness among attributes of the numeric type.

PercentageOfInstancesWithMissingValues

Percentage of instances having missing values.

Quartile3AttributeEntropy

Third quartile of entropy among attributes.

RandomTreeDepth1Kappa

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

J48.00001.AUC

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001

MaxSkewnessOfNumericAtts

180.45

Maximum skewness among attributes of the numeric type.

MinStdDevOfNumericAtts

0.01

Minimum standard deviation of attributes of the numeric type.

PercentageOfMissingValues

Percentage of missing values.

Quartile3KurtosisOfNumericAtts

475.85

Third quartile of kurtosis among attributes of the numeric type.

AutoCorrelation

0.27

Average class difference between consecutive instances.

RandomTreeDepth2AUC

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

J48.00001.ErrRate

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001

MaxStdDevOfNumericAtts

0.86

Maximum standard deviation of attributes of the numeric type.

MinorityClassPercentage

Percentage of instances belonging to the least frequent class.

PercentageOfNumericFeatures

100

Percentage of numeric attributes.

Quartile3MeansOfNumericAtts

0.15

Third quartile of means among attributes of the numeric type.

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

RandomTreeDepth2ErrRate

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

J48.00001.Kappa

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001

MeanAttributeEntropy

Average entropy of the attributes.

MinorityClassSize

Number of instances belonging to the least frequent class.

PercentageOfSymbolicFeatures

Percentage of nominal attributes.

Quartile3MutualInformation

Third quartile of mutual information between the nominal attributes and the target attribute.

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

RandomTreeDepth2Kappa

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

J48.0001.AUC

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanKurtosisOfNumericAtts

680.03

Mean kurtosis among attributes of the numeric type.

NaiveBayesAUC

Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes

Quartile1AttributeEntropy

First quartile of entropy among attributes.

Quartile3SkewnessOfNumericAtts

21.86

Third quartile of skewness among attributes of the numeric type.

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

RandomTreeDepth3AUC

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

J48.0001.ErrRate

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanMeansOfNumericAtts

0.11

Mean of means among attributes of the numeric type.

NaiveBayesErrRate

Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes

Quartile1KurtosisOfNumericAtts

2.86

First quartile of kurtosis among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

0.34

Third quartile of standard deviation of attributes of the numeric type.

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

RandomTreeDepth3ErrRate

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

J48.0001.Kappa

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanMutualInformation

Average mutual information between the nominal attributes and the target attribute.

NaiveBayesKappa

Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes

Quartile1MeansOfNumericAtts

First quartile of means among attributes of the numeric type.

REPTreeDepth1AUC

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1

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

RandomTreeDepth3Kappa

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

J48.001.AUC

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001

MeanNoiseToSignalRatio

An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.

NumberOfBinaryFeatures

Number of binary attributes.

Quartile1MutualInformation

First quartile of mutual information between the nominal attributes and the target attribute.

REPTreeDepth1ErrRate

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1

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

StdvNominalAttDistinctValues

Standard deviation of the number of distinct values among attributes of the nominal type.

J48.001.ErrRate

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001

MeanNominalAttDistinctValues

Average number of distinct values among the attributes of the nominal type.

Quartile1SkewnessOfNumericAtts

1.83

First quartile of skewness among attributes of the numeric type.

REPTreeDepth1Kappa

Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1

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

kNN1NAUC

Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk

J48.001.Kappa

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001

MeanSkewnessOfNumericAtts

14.6

Mean skewness among attributes of the numeric type.

Quartile1StdDevOfNumericAtts

0.05

First quartile of standard deviation of attributes of the numeric type.

REPTreeDepth2AUC

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2

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

kNN1NErrRate

Error rate achieved by the landmarker weka.classifiers.lazy.IBk

MajorityClassPercentage

Percentage of instances belonging to the most frequent class.

MeanStdDevOfNumericAtts

0.2

Mean standard deviation of attributes of the numeric type.

Quartile2AttributeEntropy

Second quartile (Median) of entropy among attributes.

REPTreeDepth2ErrRate

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2

ClassEntropy

Entropy of the target attribute values.

kNN1NKappa

Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk

MajorityClassSize

Number of instances belonging to the most frequent class.

MinAttributeEntropy

Minimal entropy among attributes.

Quartile2KurtosisOfNumericAtts

27.81

Second quartile (Median) of kurtosis among attributes of the numeric type.

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

DecisionStumpAUC

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump

MaxAttributeEntropy

Maximum entropy among attributes.

MinKurtosisOfNumericAtts

-1.98

Minimum kurtosis among attributes of the numeric type.

Quartile2MeansOfNumericAtts

0.03

Second quartile (Median) of means among attributes of the numeric type.

REPTreeDepth3ErrRate

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3

DecisionStumpErrRate

Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump

MaxKurtosisOfNumericAtts

32561

Maximum kurtosis among attributes of the numeric type.

MinMeansOfNumericAtts

-0.52

Minimum of means among attributes of the numeric type.

Quartile2MutualInformation

Second quartile (Median) of mutual information between the nominal attributes and the target attribute.

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: 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

Supervised Regression on a6a

0 runs - estimation_procedure: 5 times 2-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class

Clustering on a6a