This section describes main characteristics of the wine data set and its attributes:
General information
Wine Multi-class Imbalanced data set |
Type | Imbalanced | Origin | Real world |
Features | 13 | (Real / Integer / Nominal) | (13 / 0 / 0) |
Instances | 178 |
IR | 1.5 |
% Positive instances | 40 | % Negative instances | 60 | Missing values? | No |
Attribute description
Attribute | Domain | Attribute | Domain |
at1 | [11.0, 14.9] | at8 | [0.1, 0.7] |
at2 | [0.7, 5.8] | at9 | [0.4, 3.6] |
at3 | [1.3, 3.3] | at10 | [1.2, 13.0] |
at4 | [10.6, 30.0] | at11 | [0.4, 1.8] |
at5 | [70.0, 162.0] | at12 | [1.2, 4.0] |
at6 | [0.9, 3.9] | at13 | [278.0, 1680.0] |
at7 | [0.3, 5.1] | class | {1, 2, 3} |
Additional information
An imbalanced version of the Wine data set, where there are some classes with a small number of examples while other classes have a large number of examples.
In this section you can download some files related to the wine data set:
- The complete data set already formatted in KEEL format can be downloaded from
here
.
- A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from here
.
- The header file associated to this data set can be downloaded from here
.
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