DEVELOPMENT... OpenML
Data
wine

wine

active ARFF See source Visibility: public Uploaded 21-06-2022 by Frank Wallace
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
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "classification on numerical features" benchmark. Original source: https://archive.ics.uci.edu/ml/datasets/wine+quality Please give credit to the original source if you use this dataset.

12 features

quality (target)nominal2 unique values
0 missing
fixed aciditynumeric94 unique values
0 missing
volatile aciditynumeric145 unique values
0 missing
citric acidnumeric83 unique values
0 missing
residual sugarnumeric249 unique values
0 missing
chloridesnumeric142 unique values
0 missing
free sulfur dioxidenumeric105 unique values
0 missing
total sulfur dioxidenumeric248 unique values
0 missing
densitynumeric722 unique values
0 missing
pHnumeric96 unique values
0 missing
sulphatesnumeric94 unique values
0 missing
alcoholnumeric81 unique values
0 missing
Show all 12 features

19 properties

NumberOfInstances
2554
Number of instances (rows) of the dataset.
NumberOfFeatures
12
Number of attributes (columns) of the dataset.
NumberOfClasses
2
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
11
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
PercentageOfSymbolicFeatures
8.33
Percentage of nominal attributes.
AutoCorrelation
1
Average class difference between consecutive instances.
PercentageOfNumericFeatures
91.67
Percentage of numeric attributes.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfBinaryFeatures
8.33
Percentage of binary attributes.
NumberOfBinaryFeatures
1
Number of binary attributes.
MinorityClassSize
1277
Number of instances belonging to the least frequent class.
MinorityClassPercentage
50
Percentage of instances belonging to the least frequent class.
MajorityClassSize
1277
Number of instances belonging to the most frequent class.
MajorityClassPercentage
50
Percentage of instances belonging to the most frequent class.
Dimensionality
0
Number of attributes divided by the number of instances.
Show all 19 properties

1 tasks

Supervised Classification on wine
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: quality
Define a new task