Package | Description |
---|---|
weka.classifiers.functions | |
weka.classifiers.mi | |
weka.classifiers.trees |
Modifier and Type | Class and Description |
---|---|
class |
LibSVM
A wrapper class for the libsvm tools (the libsvm
classes, typically the jar file, need to be in the classpath to use this
classifier).
LibSVM runs faster than SMO since it uses LibSVM to build the SVM classifier. LibSVM allows users to experiment with One-class SVM, Regressing SVM, and nu-SVM supported by LibSVM tool. |
Modifier and Type | Class and Description |
---|---|
class |
MIEMDD
EMDD model builds heavily upon Dietterich's Diverse Density (DD) algorithm.
It is a general framework for MI learning of converting the MI problem to a single-instance setting using EM. |
Modifier and Type | Class and Description |
---|---|
class |
BFTree
Class for building a best-first decision tree classifier.
|
class |
SimpleCart
Class implementing minimal cost-complexity pruning.
Note when dealing with missing values, use "fractional instances" method instead of surrogate split method. For more information, see: Leo Breiman, Jerome H. |
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