Data
Wine-Dataset

Wine-Dataset

active ARFF Attribution 4.0 International (CC BY 4.0) Visibility: public Uploaded 24-03-2022 by Dustin Carrion
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These data are the results of a chemical analysis of wines grown in the same region in Italy but derived from three different cultivars. The analysis determined the quantities of 13 constituents found in each of the three types of wines. Number of Instances: 178 Number of Attributes: 13 Associated Tasks: Classification Source : http://archive.ics.uci.edu/ml/datasets/Wine

14 features

Alcoholnumeric126 unique values
0 missing
Malic_acidnumeric133 unique values
0 missing
Ashnumeric79 unique values
0 missing
Alcalinity_of_ashnumeric63 unique values
0 missing
Magnesiumnumeric53 unique values
0 missing
Total_phenolsnumeric97 unique values
0 missing
Flavanoidsnumeric132 unique values
0 missing
Nonflavanoid_phenolsnumeric39 unique values
0 missing
Proanthocyaninsnumeric101 unique values
1 missing
Color_intensitynumeric132 unique values
0 missing
Huenumeric77 unique values
0 missing
OD280/OD315_of_diluted_winesnumeric121 unique values
1 missing
Prolinenumeric121 unique values
0 missing
Class_Labelnumeric3 unique values
0 missing
Show all 14 features

19 properties

NumberOfInstances
178
Number of instances (rows) of the dataset.
NumberOfFeatures
14
Number of attributes (columns) of the dataset.
NumberOfClasses
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
2
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
1
Number of instances with at least one value missing.
NumberOfNumericFeatures
14
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
Dimensionality
0.08
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
100
Percentage of numeric attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
0
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
0.56
Percentage of instances having missing values.
AutoCorrelation
Average class difference between consecutive instances.
PercentageOfMissingValues
0.08
Percentage of missing values.
Show all 19 properties

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