Data
BNG(glass,nominal,137781)

BNG(glass,nominal,137781)

active ARFF Publicly available Visibility: public Uploaded 09-04-2014 by Jan van Rijn
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10 features

Type (target)nominal7 unique values
0 missing
RInominal3 unique values
0 missing
Nanominal3 unique values
0 missing
Mgnominal3 unique values
0 missing
Alnominal3 unique values
0 missing
Sinominal3 unique values
0 missing
Knominal3 unique values
0 missing
Canominal3 unique values
0 missing
Banominal3 unique values
0 missing
Fenominal3 unique values
0 missing

19 properties

137781
Number of instances (rows) of the dataset.
10
Number of attributes (columns) of the dataset.
7
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.
10
Number of nominal attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0.26
Average class difference between consecutive instances.
0
Percentage of missing values.
0
Number of attributes divided by the number of instances.
0
Percentage of numeric attributes.
35.04
Percentage of instances belonging to the most frequent class.
100
Percentage of nominal attributes.
48277
Number of instances belonging to the most frequent class.
0.22
Percentage of instances belonging to the least frequent class.
307
Number of instances belonging to the least frequent class.
0
Number of binary attributes.

17 tasks

27 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Type
6 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: Type
2 runs - estimation_procedure: 5 times 2-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Type
2 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Type
7 runs - estimation_procedure: 10-fold Learning Curve - evaluation_measure: predictive_accuracy - target_feature: Type
46 runs - estimation_procedure: Interleaved Test then Train - target_feature: Type
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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