Data
wine

wine

active ARFF Public Domain (CC0) Visibility: public Uploaded 22-04-2021 by Juan Carlos Alfaro Jiménez
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  • Economics Machine Learning partial label ranking
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16 features

L1 (target)nominal3 unique values
0 missing
L2 (target)nominal3 unique values
0 missing
L3 (target)nominal3 unique values
0 missing
A1numeric126 unique values
0 missing
A2numeric133 unique values
0 missing
A3numeric79 unique values
0 missing
A4numeric63 unique values
0 missing
A5numeric53 unique values
0 missing
A6numeric97 unique values
0 missing
A7numeric132 unique values
0 missing
A8numeric39 unique values
0 missing
A9numeric101 unique values
0 missing
A10numeric132 unique values
0 missing
A11numeric78 unique values
0 missing
A12numeric122 unique values
0 missing
A13numeric121 unique values
0 missing

19 properties

178
Number of instances (rows) of the dataset.
16
Number of attributes (columns) of the dataset.
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.
3
Number of nominal attributes.
0.09
Number of attributes divided by the number of instances.
81.25
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
18.75
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
Average class difference between consecutive instances.
0
Percentage of missing values.

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