| Package | Description |
|---|---|
| weka.classifiers.meta | |
| weka.classifiers.trees | |
| weka.filters.supervised.attribute |
| Modifier and Type | Class and Description |
|---|---|
class |
Bagging
Class for bagging a classifier to reduce variance.
|
class |
FilteredClassifier
Class for running an arbitrary classifier on data that has been passed through an arbitrary filter.
|
class |
RandomCommittee
Class for building an ensemble of randomizable base classifiers.
|
class |
RandomizableFilteredClassifier
Class for running an arbitrary classifier on data that has been passed through an arbitrary filter.
|
| Modifier and Type | Class and Description |
|---|---|
class |
J48
Class for generating a pruned or unpruned C4.5
decision tree.
|
class |
RandomForest
Class for constructing a forest of random trees.
For more information see: Leo Breiman (2001). |
class |
RandomTree
Class for constructing a tree that considers K randomly chosen attributes at each node.
|
class |
REPTree
Fast decision tree learner.
|
| Modifier and Type | Method and Description |
|---|---|
PartitionGenerator |
PartitionMembership.getPartitionGenerator()
Get the generator used by this filter
|
| Modifier and Type | Method and Description |
|---|---|
void |
PartitionMembership.setPartitionGenerator(PartitionGenerator newPartitionGenerator)
Set the generator for use in filtering
|
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