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a9a

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)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
0 missing
att_30numeric2 unique values
0 missing
att_31numeric2 unique values
0 missing
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
0 missing
att_37numeric2 unique values
0 missing
att_38numeric2 unique values
0 missing
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
0 missing
att_52numeric2 unique values
0 missing
att_53numeric2 unique values
0 missing
att_54numeric2 unique values
0 missing
att_55numeric2 unique values
0 missing
att_56numeric2 unique values
0 missing
att_57numeric2 unique values
0 missing
att_58numeric2 unique values
0 missing
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
0 missing
att_77numeric2 unique values
0 missing
att_78numeric2 unique values
0 missing
att_79numeric2 unique values
0 missing
att_80numeric2 unique values
0 missing
att_81numeric2 unique values
0 missing
att_82numeric2 unique values
0 missing
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

18 properties

48842
Number of instances (rows) of the dataset.
124
Number of attributes (columns) of the dataset.
-1
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
124
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
-1
The predictive accuracy obtained by always predicting the majority class.
100
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.
0
Percentage of nominal attributes.
-1
Percentage of instances belonging to the most frequent class.
-1
Number of instances belonging to the most frequent class.
-1
Number of instances belonging to the least frequent class.
0
Number of binary attributes.

4 tasks

0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
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