|
Class Summary |
| AssociationsPanel |
This panel allows the user to select, configure, and run a scheme
that learns associations. |
| AttributeSelectionPanel |
This panel allows the user to select and configure an attribute
evaluator and a search method, set the
attribute of the current dataset to be used as the class, and perform
attribute selection using one of two selection modes (select using all the
training data or perform a n-fold cross validation---on each trial
selecting features using n-1 folds of the data). |
| ClassifierPanel |
This panel allows the user to select and configure a classifier, set the
attribute of the current dataset to be used as the class, and evaluate
the classifier using a number of testing modes (test on the training data,
train/test on a percentage split, n-fold cross-validation, test on a
separate split). |
| ClustererPanel |
This panel allows the user to select and configure a clusterer, and evaluate
the clusterer using a number of testing modes (test on the training data,
train/test on a percentage split, test on a
separate split). |
| Explorer |
The main class for the Weka explorer. |
| PreprocessPanel |
This panel controls simple preprocessing of instances. |
Copyright (c)
2003 David Lindsay, Computer Learning Research Centre, Dept. Computer Science, Royal Holloway, University of London