DEVELOPMENT... OpenML
Data
wine_quality

wine_quality

active ARFF Public Domain (CC0) Visibility: public Uploaded 28-02-2022 by
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
wine-quality data for testing in automl-benchmark

13 features

fixedaciditynumeric91 unique values
0 missing
volatileaciditynumeric135 unique values
0 missing
citricacidnumeric77 unique values
0 missing
residualsugarnumeric80 unique values
0 missing
chloridesnumeric131 unique values
0 missing
freesulfurdioxidenumeric53 unique values
0 missing
totalsulfurdioxidenumeric138 unique values
0 missing
densitynumeric388 unique values
0 missing
phnumeric87 unique values
0 missing
sulphatesnumeric89 unique values
0 missing
alcoholnumeric61 unique values
0 missing
qualitynumeric6 unique values
0 missing
idnominal1143 unique values
0 missing

19 properties

1143
Number of instances (rows) of the dataset.
13
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.
12
Number of numeric attributes.
1
Number of nominal attributes.
7.69
Percentage of nominal attributes.
Average class difference between consecutive instances.
92.31
Percentage of numeric attributes.
0
Percentage of missing values.
0
Percentage of instances having missing values.
0
Percentage of binary attributes.
0
Number of binary attributes.
Number of instances belonging to the least frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the most frequent class.
0.01
Number of attributes divided by the number of instances.

1 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: root_mean_squared_error - target_feature: quality
Define a new task