Data
wine_quality

wine_quality

active ARFF Public Domain (CC0) Visibility: public Uploaded 28-02-2022 by ruining zhang
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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
Show all 13 features

19 properties

NumberOfInstances
1143
Number of instances (rows) of the dataset.
NumberOfFeatures
13
Number of attributes (columns) of the dataset.
NumberOfClasses
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
12
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
Dimensionality
0.01
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
92.31
Percentage of numeric attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
7.69
Percentage of nominal attributes.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
AutoCorrelation
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Show all 19 properties

1 tasks

Supervised Regression on wine_quality
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: root_mean_squared_error - target_feature: quality
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