Graphics Reference
In-Depth Information
Fig. 10.5
KEEL-dataset webpage
(
http://keel.es/datasets.php
)
-
Multi instance data sets
[
32
]. Multi-Instance data sets represent problems where
there is a many-to-one relationship between feature vectors and their output
attribute.
Regression problems. These are data sets with a real valued output attribute, and
the objective is to better approximate this output value using the input attributes.
Unsupervised (Clustering and Associations) problems. Unsupervised data sets
represent a set of data whose examples have been not labeled.
Low quality data [
33
]. In this category the data sets which contain imprecise
values in their input attributes are included, caused by noise or restrictions in the
measurements. Therefore these low quality data sets can contain a mixture of crisp
and fuzzy values. This is a unique category.
In Fig.
10.6
the webpage for the classification standard data sets is shown as an
illustrative example of a particular category webpage. These webpages are structured
in two main sections:
