Data
BNG(wine)

BNG(wine)

active ARFF public domain Visibility: public Uploaded 12-11-2014 by Jan van Rijn
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14 features

class (target)nominal3 unique values
0 missing
Alcoholnumeric843701 unique values
0 missing
Malic_acidnumeric818374 unique values
0 missing
Ashnumeric612593 unique values
0 missing
Alcalinity_of_ashnumeric955036 unique values
0 missing
Magnesiumnumeric988160 unique values
0 missing
Total_phenolsnumeric801286 unique values
0 missing
Flavanoidsnumeric850767 unique values
0 missing
Nonflavanoid_phenolsnumeric401590 unique values
0 missing
Proanthocyaninsnumeric771701 unique values
0 missing
Color_intensitynumeric929952 unique values
0 missing
Huenumeric576934 unique values
0 missing
OD280%2FOD315_of_diluted_winesnumeric800466 unique values
0 missing
Prolinenumeric999470 unique values
0 missing

19 properties

1000000
Number of instances (rows) of the dataset.
14
Number of attributes (columns) of the dataset.
3
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.
13
Number of numeric attributes.
1
Number of nominal attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0.34
Average class difference between consecutive instances.
0
Percentage of missing values.
0
Number of attributes divided by the number of instances.
92.86
Percentage of numeric attributes.
40.11
Percentage of instances belonging to the most frequent class.
7.14
Percentage of nominal attributes.
401055
Number of instances belonging to the most frequent class.
27.77
Percentage of instances belonging to the least frequent class.
277674
Number of instances belonging to the least frequent class.
0
Number of binary attributes.

21 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: precision - target_feature: class
0 runs - estimation_procedure: 33% Holdout set - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
312 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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