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class
This panel allows the user to select, configure, and run a scheme that learns
associations.
class
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).
class
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).
class
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).
class
This panel controls simple preprocessing of instances.