Package weka.gui.explorer

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.