This section describes main characteristics of the banana data set and its attributes:
General information
Banana data set |
Type | Classification | Origin | Laboratory |
Features | 2 | (Real / Integer / Nominal) | (2 / 0 / 0) |
Instances | 5300 |
Classes | 2 |
Missing values? | No |
Attribute description
Attribute | Domain |
At1 | [-3.09,2.81] |
At2 | [-2.39,3.19] |
Class | {-1.0,1.0} |
Additional information
An artificial data set where instances belongs to several clusters with a banana shape.
There are two attributes At1 and At2 corresponding to the x and y axis, respectively.
The class label (-1 and 1) represents one of the two banana shapes in the dataset.
In this section you can download some files related to the banana 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 10-folds cross validation procedure 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.
- This is not a native data set from the KEEL project. It has been obtained from the Fraunhofer Intelligent Data Analysis Group Benchmark Repository. The original page where the data set can be found is: http://www.iais.fraunhofer.de.
|