Data
BNG(vote)

BNG(vote)

active ARFF Publicly available Visibility: public Uploaded 09-04-2014 by Jan van Rijn
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  • artificial BNG study_16 study_69
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17 features

Class (target)nominal2 unique values
0 missing
handicapped-infantsnominal2 unique values
0 missing
water-project-cost-sharingnominal2 unique values
0 missing
adoption-of-the-budget-resolutionnominal2 unique values
0 missing
physician-fee-freezenominal2 unique values
0 missing
el-salvador-aidnominal2 unique values
0 missing
religious-groups-in-schoolsnominal2 unique values
0 missing
anti-satellite-test-bannominal2 unique values
0 missing
aid-to-nicaraguan-contrasnominal2 unique values
0 missing
mx-missilenominal2 unique values
0 missing
immigrationnominal2 unique values
0 missing
synfuels-corporation-cutbacknominal2 unique values
0 missing
education-spendingnominal2 unique values
0 missing
superfund-right-to-suenominal2 unique values
0 missing
crimenominal2 unique values
0 missing
duty-free-exportsnominal2 unique values
0 missing
export-administration-act-south-africanominal2 unique values
0 missing

19 properties

131072
Number of instances (rows) of the dataset.
17
Number of attributes (columns) of the dataset.
2
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.
0
Number of numeric attributes.
17
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
0
Percentage of numeric attributes.
61.35
Percentage of instances belonging to the most frequent class.
100
Percentage of nominal attributes.
80409
Number of instances belonging to the most frequent class.
38.65
Percentage of instances belonging to the least frequent class.
50663
Number of instances belonging to the least frequent class.
17
Number of binary attributes.
100
Percentage of binary attributes.
0
Percentage of instances having missing values.
0.52
Average class difference between consecutive instances.
0
Percentage of missing values.

18 tasks

28 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Class
7 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: Class
2 runs - estimation_procedure: 5 times 2-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Class
2 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Class
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class
13 runs - estimation_procedure: 10-fold Learning Curve - evaluation_measure: predictive_accuracy - target_feature: Class
304 runs - estimation_procedure: Interleaved Test then Train - target_feature: Class
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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