Serialized Form

Package weka.associations.classification
- Class weka.associations.classification.CaRuleGeneration extends weka.associations.RuleGeneration implements Serializable
- Class weka.associations.classification.CrList extends java.lang.Object implements Serializable
  - Serialized Fields
    - m_head
```
CrListElement m_head
```
      The head of the list.
    - m_tail
```
CrListElement m_tail
```
      The tail of the list.
    - m_element
```
CrListElement m_element
```
      The actual element.
- Class weka.associations.classification.CrListElement extends java.lang.Object implements Serializable
  - Serialized Fields
    - m_succ
```
CrListElement m_succ
```
      The successor in the list.
    - m_pred
```
CrListElement m_pred
```
      The predecessor in the list.
    - m_listAttributeNumber
```
int m_listAttributeNumber
```
      The attribute number.
    - m_listAttributeValue
```
int m_listAttributeValue
```
      The attribute value.
    - m_siblingNode
```
CrNode m_siblingNode
```
      Pointer to a CrNode.
    - m_minHeight
```
int m_minHeight
```
      The minimum height of a CrNode (that stores the same as the CrListelement) in a CrTree.
- Class weka.associations.classification.CrNode extends java.lang.Object implements Serializable
  - Serialized Fields
    - m_attributeNumber
```
int m_attributeNumber
```
      the attribuite number stored in the node .
    - m_attributeValue
```
int m_attributeValue
```
      The attribute value stored in the node .
    - m_content
```
weka.core.FastVector<E> m_content
```
      FastVector storing the content of a node (a rules's consequence and additional information).
    - m_treeChild
```
CrNode m_treeChild
```
      Pointer to a child node.
    - m_treeParent
```
CrNode m_treeParent
```
      Pointer to the parent node.
    - m_nextSibling
```
CrNode m_nextSibling
```
      Pointer to the next sibling node.
    - m_lastSibling
```
CrNode m_lastSibling
```
      Pointer to the previous sibling node.
    - m_nextListSibling
```
CrNode m_nextListSibling
```
      Pointer to the next node in the associated list.
    - m_lastListSibling
```
CrNode m_lastListSibling
```
      Pointer to the previous node in the associated list.
    - m_listSibling
```
CrListElement m_listSibling
```
      Pointer to an entry in the associated list.
    - m_height
```
int m_height
```
      Height of the node in the tree.
- Class weka.associations.classification.CrTree extends PruneCAR implements Serializable
  - Serialized Fields
    - m_root
```
CrNode m_root
```
      The root node of the tree.
    - m_actual
```
CrNode m_actual
```
      The actual node of the tree.
    - m_list
```
CrList m_list
```
      The CrList attached to the tree structure.
    - m_sibling
```
boolean m_sibling
```
      Indicates if node has to be inserted as sibling.
    - m_instances
```
weka.core.Instances m_instances
```
      The instances to which the mined rules belong to (class attribute splitted off)
    - m_class
```
weka.core.Instances m_class
```
      Instances containing only the class attribute
    - m_storeSiblings
```
weka.core.FastVector<E> m_storeSiblings
```
      List to remember sibling nodes when passing through the tree
    - m_sortedFrequencies
```
weka.core.FastVector<E> m_sortedFrequencies
```
      List to remember the sorted order of attribute value pairs
    - m_counter
```
int m_counter
```
      counts number of rules in the tree.
    - m_deleteCount
```
int m_deleteCount
```
      counts number of rules in the tree.
- Class weka.associations.classification.CrTree.FrequencyObjects extends java.lang.Object implements Serializable
  - Serialized Fields
    - m_attributeNumber
```
int m_attributeNumber
```
      The attribute number.
    - m_attributeValue
```
int m_attributeValue
```
      The attribute value.
    - m_frequency
```
int m_frequency
```
      The frequency value of an item (attribute-value pair).
- Class weka.associations.classification.JCBAPruning extends CrTree implements Serializable
  - Serialized Fields
    - m_cf
```
float m_cf
```
      The confidence value for the optional pruning step.
    - m_prunedRules
```
int m_prunedRules
```
      The number of pruned rules in the optionol pruning step.
    - m_numberUnprunedRules
```
int m_numberUnprunedRules
```
      The initial number of rules.
    - m_noPessError
```
boolean m_noPessError
```
      Flag indicating whether optional (pessimistic-error-rate-based pruning).
    - m_precedence
```
weka.core.FastVector<E>[] m_precedence
```
      FastVector containing the sort order information for a set of rules.
    - m_instancesWithClass
```
weka.core.Instances m_instancesWithClass
```
      the instances including the class attribute.
- Class weka.associations.classification.LabeledItemSet extends weka.associations.ItemSet implements Serializable
  - Serialized Fields
    - m_classLabel
```
int m_classLabel
```
      The class label.
    - m_ruleSupCounter
```
int m_ruleSupCounter
```
      The support of the rule.
- Class weka.associations.classification.PrecedencePruning extends JCBAPruning implements Serializable
  - Serialized Fields
    - m_default
```
int m_default
```
      The default class.
- Class weka.associations.classification.PruneCAR extends java.lang.Object implements Serializable
Package weka.classifiers.rules.car
- Class weka.classifiers.rules.car.CarClassifier extends weka.classifiers.AbstractClassifier implements Serializable
- Class weka.classifiers.rules.car.JCBA extends CarClassifier implements Serializable
  
  serialVersionUID:
  
  -4039170500265315498L
  - Serialized Fields
    - m_prune
```
JCBAPruning m_prune
```
      The pruning algorithm.
    - m_assoc
```
weka.associations.CARuleMiner m_assoc
```
      The mining algorithm.
    - m_instances
```
weka.core.Instances m_instances
```
      The instances.
    - m_outputTree
```
boolean m_outputTree
```
      Flag indicating if classification rules should be part of the output.
    - m_CBA
```
boolean m_CBA
```
      Flag indicating if classifier is CBA or a standard decision list classifier.
    - m_optPruning
```
boolean m_optPruning
```
      Flag turning on/off optional pessimistic-error-rate-based pruning.
    - m_cf
```
float m_cf
```
      The confidence value for the optional pessimistic-error-rate-based pruning .
    - m_metricType
```
java.lang.String m_metricType
```
      The metric type string.
    - m_miningWatch
```
Stopwatch m_miningWatch
```
      Watch for mining runtime behaviour.
    - m_pruningWatch
```
Stopwatch m_pruningWatch
```
      Watch for pruning runtime behaviour.
    - m_miningTime
```
double m_miningTime
```
      The mining time.
    - m_pruningTime
```
double m_pruningTime
```
      The pruning time.
    - m_filter
```
weka.filters.supervised.attribute.Discretize m_filter
```
      The filter to discretise attribute values.
- Class weka.classifiers.rules.car.WeightedClassifier extends CarClassifier implements Serializable
  
  serialVersionUID:
  
  -7484303771900257946L
  - Serialized Fields
    - m_prune
```
PrecedencePruning m_prune
```
      The pruning algorithm.
    - m_assoc
```
weka.associations.CARuleMiner m_assoc
```
      The mining algorithm.
    - m_instances
```
weka.core.Instances m_instances
```
      The instances.
    - m_weightScheme
```
int m_weightScheme
```
      The type string for the weighting scheme.
    - m_metricType
```
java.lang.String m_metricType
```
      The metric type string.
    - m_miningWatch
```
Stopwatch m_miningWatch
```
      Watch for mining runtime behaviour.
    - m_pruningWatch
```
Stopwatch m_pruningWatch
```
      Watch for pruning runtime behaviour.
    - m_numMinedRules
```
int m_numMinedRules
```
      The number of mined rules.
    - m_numPrunedRules
```
int m_numPrunedRules
```
      The number of rules after pruning.
    - m_numRules
```
int m_numRules
```
      The limit for the number of classification rules after pruning. -1 indicates no limit. Valid integers are >= 1.
    - m_stop
```
int m_stop
```
      The number of rules for classification.
    - m_miningTime
```
double m_miningTime
```
      The mining time.
    - m_filter
```
weka.filters.supervised.attribute.Discretize m_filter
```
      The filter to discretise attribute values.
    - m_pruningTime
```
double m_pruningTime
```
      The pruning time.
    - m_averageCorrect
```
double m_averageCorrect
```
      The average rank of the first rule that covers an instance and predicts it correctly.
    - m_averageFirst
```
double m_averageFirst
```
      The average rank of the first rule that covers an instance.
    - m_sumCorrect
```
double m_sumCorrect
```
      The sum of the rank of the first rule that covers an instance and predicts it correctly.
    - m_sumFirst
```
double m_sumFirst
```
      The sum of the rank of the first rule that covers an instance.
    - m_numInstances
```
int m_numInstances
```
      The number of instances.
    - m_numTests
```
int m_numTests
```
      The number of test instances.
Package weka.classifiers.rules.car.utils
- Class weka.classifiers.rules.car.utils.Stopwatch extends java.lang.Object implements Serializable
  - Serialized Fields
    - startTime
```
java.util.Date startTime
```
      The start time.
    - endTime
```
java.util.Date endTime
```
      The end time.
    - running
```
boolean running
```
      Flag indicating whether or not it is still running.
    - started
```
boolean started
```
      Flag indicating whether or not it is started at all.

Serialized Form

Package weka.associations.classification

Class weka.associations.classification.CaRuleGeneration extends weka.associations.RuleGeneration implements Serializable

Class weka.associations.classification.CrList extends java.lang.Object implements Serializable

Serialized Fields

m_head

m_tail

m_element

Class weka.associations.classification.CrListElement extends java.lang.Object implements Serializable

Serialized Fields

m_succ

m_pred

m_listAttributeNumber

m_listAttributeValue

m_siblingNode

m_minHeight

Class weka.associations.classification.CrNode extends java.lang.Object implements Serializable

Serialized Fields

m_attributeNumber

m_attributeValue

m_content

m_treeChild

m_treeParent

m_nextSibling

m_lastSibling

m_nextListSibling

m_lastListSibling

m_listSibling

m_height

Class weka.associations.classification.CrTree extends PruneCAR implements Serializable

Serialized Fields

m_root

m_actual

m_list

m_sibling

m_instances

m_class

m_storeSiblings

m_sortedFrequencies

m_counter

m_deleteCount

Class weka.associations.classification.CrTree.FrequencyObjects extends java.lang.Object implements Serializable

Serialized Fields

m_attributeNumber

m_attributeValue

m_frequency

Class weka.associations.classification.JCBAPruning extends CrTree implements Serializable

Serialized Fields

m_cf

m_prunedRules

m_numberUnprunedRules

m_noPessError

m_precedence

m_instancesWithClass

Class weka.associations.classification.LabeledItemSet extends weka.associations.ItemSet implements Serializable

Serialized Fields

m_classLabel

m_ruleSupCounter

Class weka.associations.classification.PrecedencePruning extends JCBAPruning implements Serializable

Serialized Fields

m_default

Class weka.associations.classification.PruneCAR extends java.lang.Object implements Serializable

Package weka.classifiers.rules.car

Class weka.classifiers.rules.car.CarClassifier extends weka.classifiers.AbstractClassifier implements Serializable

Class weka.classifiers.rules.car.JCBA extends CarClassifier implements Serializable

Serialized Fields

m_prune

m_assoc

m_instances

m_outputTree

m_CBA

m_optPruning

m_cf

m_metricType

m_miningWatch

m_pruningWatch

m_miningTime

m_pruningTime

m_filter

Class weka.classifiers.rules.car.WeightedClassifier extends CarClassifier implements Serializable