OpenML

JavaScript is required to properly view the contents of this page!

Explore
- Data
- Task
- Flow
- Run
- Study
- Task type
- Measure
- People
Help
Blog
Contact
Please cite us

kdd_internet_usage

active ARFF Publicly available Visibility: public Uploaded 29-10-2015 by unknown
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes

Issue	#Downvotes for this reason	By

Loading wiki

Help us complete this description Edit

This data contains general demographic information on internet users in 1997. Original Owner [1]Graphics, Visualization, & Usability Center College of Computing Geogia Institute of Technology Atlanta, GA Donor [2]Dr Di Cook, Department of Statistics, Iowa State University Date Donated: June 30, 1999 This data comes from a survey conducted by the Graphics and Visualization Unit at Georgia Tech October 10 to November 16, 1997. The particular subset of the survey provided here is the "general demographics" of internet users. The data have been recoded as entirely numeric, with an index to the codes described in the "Coding" file. The full survey is available from the web site above, along with summaries, tables and graphs of their analyses. In addition there is information on other parts of the survey, including technology demographics and web commerce.

72 features

Not_Purchasing_Enough_info	nominal	2 unique values 0 missing
Not_Purchasing_Privacy	nominal	2 unique values 0 missing
Not_Purchasing_Prefer_people	nominal	2 unique values 0 missing
Not_Purchasing_Other	nominal	2 unique values 0 missing
Not_Purchasing_Not_option	nominal	2 unique values 0 missing
Not_Purchasing_Not_applicable	nominal	2 unique values 0 missing
Not_Purchasing_No_credit	nominal	2 unique values 0 missing
Not_Purchasing_Never_tried	nominal	2 unique values 0 missing
Not_Purchasing_Judge_quality	nominal	2 unique values 0 missing
Not_Purchasing_Receipt	nominal	2 unique values 0 missing
Not_Purchasing_Easier_locally	nominal	2 unique values 0 missing
Not_Purchasing_Company_policy	nominal	2 unique values 0 missing
Not_Purchasing_Cant_find	nominal	2 unique values 0 missing
Not_Purchasing_Bad_press	nominal	2 unique values 0 missing
Not_Purchasing_Bad_experience	nominal	2 unique values 0 missing
Race	nominal	8 unique values 0 missing
Primary_Place_of_WWW_Access	nominal	9 unique values 0 missing
Primary_Language	nominal	119 unique values 0 missing
Who_Pays_for_Access_Dont_Know	nominal	2 unique values 0 missing
who	nominal	10108 unique values 0 missing
Years_on_Internet	nominal	5 unique values 0 missing
Willingness_to_Pay_Fees	nominal	8 unique values 0 missing
Who_Pays_for_Access_Work	nominal	2 unique values 0 missing
Who_Pays_for_Access_Self	nominal	2 unique values 0 missing
Who_Pays_for_Access_School	nominal	2 unique values 0 missing
Who_Pays_for_Access_Parents	nominal	2 unique values 0 missing
Who_Pays_for_Access_Other	nominal	2 unique values 0 missing
Primary_Computing_Platform	nominal	11 unique values 2699 missing
Web_Page_Creation	nominal	3 unique values 0 missing
Web_Ordering	nominal	3 unique values 0 missing
Sexual_Preference	nominal	6 unique values 0 missing
Registered_to_Vote	nominal	4 unique values 0 missing
Not_Purchasing_Unfamiliar_vendor	nominal	2 unique values 0 missing
Not_Purchasing_Uncomfortable	nominal	2 unique values 0 missing
Not_Purchasing_Too_complicated	nominal	2 unique values 0 missing
Not_Purchasing_Security	nominal	2 unique values 0 missing
Community_Membership_Religious	nominal	2 unique values 0 missing
Disability_Vision	nominal	2 unique values 0 missing
Disability_Not_Say	nominal	2 unique values 0 missing
Disability_Not_Impaired	nominal	2 unique values 0 missing
Disability_Motor	nominal	2 unique values 0 missing
Disability_Hearing	nominal	2 unique values 0 missing
Disability_Cognitive	nominal	2 unique values 0 missing
Country	nominal	129 unique values 0 missing
Community_Membership_Support	nominal	2 unique values 0 missing
Education_Attainment	nominal	9 unique values 0 missing
Community_Membership_Professional	nominal	2 unique values 0 missing
Community_Membership_Political	nominal	2 unique values 0 missing
Community_Membership_Other	nominal	2 unique values 0 missing
Community_Membership_None	nominal	2 unique values 0 missing
Community_Membership_Hobbies	nominal	2 unique values 0 missing
Community_Membership_Family	nominal	2 unique values 0 missing
Community_Building	nominal	4 unique values 0 missing
Age	nominal	77 unique values 0 missing
How_You_Heard_About_Survey_Remebered	nominal	2 unique values 0 missing
Opinions_on_Censorship	nominal	4 unique values 0 missing
Most_Import_Issue_Facing_the_Internet	nominal	9 unique values 0 missing
Marital_Status	nominal	7 unique values 0 missing
Major_Occupation	nominal	5 unique values 0 missing
Major_Geographical_Location	nominal	10 unique values 0 missing
How_You_Heard_About_Survey_WWW_Page	nominal	2 unique values 0 missing
How_You_Heard_About_Survey_Usenet_News	nominal	2 unique values 0 missing
How_You_Heard_About_Survey_Search_Engine	nominal	2 unique values 0 missing
Actual_Time	nominal	46 unique values 0 missing
How_You_Heard_About_Survey_Printed_Media	nominal	2 unique values 0 missing
How_You_Heard_About_Survey_Others	nominal	2 unique values 0 missing
How_You_Heard_About_Survey_Mailing_List	nominal	2 unique values 0 missing
How_You_Heard_About_Survey_Friend	nominal	2 unique values 0 missing
How_You_Heard_About_Survey_Banner	nominal	2 unique values 0 missing
Household_Income	nominal	9 unique values 0 missing
Gender	nominal	2 unique values 0 missing
Falsification_of_Information	nominal	7 unique values 0 missing

Show all 72 features

107 properties

NumberOfInstances

10108

Number of instances (rows) of the dataset.

NumberOfFeatures

Number of attributes (columns) of the dataset.

NumberOfClasses

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

NumberOfMissingValues

2699

Number of missing values in the dataset.

NumberOfInstancesWithMissingValues

2699

Number of instances with at least one value missing.

NumberOfNumericFeatures

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

AutoCorrelation

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

0.01

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

Maximum kurtosis among attributes of the numeric type.

MaxMeansOfNumericAtts

Maximum of means among attributes of the numeric type.

MaxMutualInformation

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

MaxNominalAttDistinctValues

10108

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

MaxSkewnessOfNumericAtts

Maximum skewness among attributes of the numeric type.

MaxStdDevOfNumericAtts

Maximum standard deviation of attributes of the numeric type.

MeanAttributeEntropy

Average entropy of the attributes.

MeanKurtosisOfNumericAtts

Mean kurtosis among attributes of the numeric type.

MeanMeansOfNumericAtts

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

148.58

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

MeanSkewnessOfNumericAtts

Mean skewness among attributes of the numeric type.

MeanStdDevOfNumericAtts

Mean standard deviation of attributes of the numeric type.

MinAttributeEntropy

Minimal entropy among attributes.

MinKurtosisOfNumericAtts

Minimum kurtosis among attributes of the numeric type.

MinMeansOfNumericAtts

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

Minimum skewness among attributes of the numeric type.

MinStdDevOfNumericAtts

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

Number of binary attributes.

PercentageOfBinaryFeatures

68.06

Percentage of binary attributes.

PercentageOfInstancesWithMissingValues

26.7

Percentage of instances having missing values.

PercentageOfMissingValues

0.37

Percentage of missing values.

PercentageOfNumericFeatures

Percentage of numeric attributes.

PercentageOfSymbolicFeatures

100

Percentage of nominal attributes.

Quartile1AttributeEntropy

First quartile of entropy among attributes.

Quartile1KurtosisOfNumericAtts

First quartile of kurtosis among attributes of the numeric type.

Quartile1MeansOfNumericAtts

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

First quartile of skewness among attributes of the numeric type.

Quartile1StdDevOfNumericAtts

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

Quartile2AttributeEntropy

Second quartile (Median) of entropy among attributes.

Quartile2KurtosisOfNumericAtts

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

Quartile2MeansOfNumericAtts

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

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

Quartile2StdDevOfNumericAtts

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

Quartile3AttributeEntropy

Third quartile of entropy among attributes.

Quartile3KurtosisOfNumericAtts

Third quartile of kurtosis among attributes of the numeric type.

Quartile3MeansOfNumericAtts

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

Third quartile of skewness among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

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

1190.47

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

12 tasks

Supervised Classification on kdd_internet_usage

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_precision - target_feature: Country

Clustering on kdd_internet_usage

0 runs

Clustering on kdd_internet_usage