Serialized Form

Package weka.classifiers.trees
- Class weka.classifiers.trees.DecisionStump extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1618384535950391L
  - Serialized Fields
    - m_AttIndex
```
int m_AttIndex
```
    - m_SplitPoint
```
double m_SplitPoint
```
    - m_Distribution
```
double[][] m_Distribution
```
    - m_Instances
```
weka.core.Instances m_Instances
```
    - m_ZeroR
```
weka.classifiers.Classifier m_ZeroR
```
- Class weka.classifiers.trees.HoeffdingTree extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  7117521775722396251L
  - Serialized Fields
    - m_header
```
weka.core.Instances m_header
```
    - m_root
```
weka.classifiers.trees.ht.HNode m_root
```
    - m_gracePeriod
```
double m_gracePeriod
```
    - m_splitConfidence
```
double m_splitConfidence
```
    - m_hoeffdingTieThreshold
```
double m_hoeffdingTieThreshold
```
    - m_minFracWeightForTwoBranchesGain
```
double m_minFracWeightForTwoBranchesGain
```
    - m_selectedSplitMetric
```
int m_selectedSplitMetric
```
    - m_splitMetric
```
weka.classifiers.trees.ht.SplitMetric m_splitMetric
```
    - m_leafStrategy
```
int m_leafStrategy
```
    - m_nbThreshold
```
double m_nbThreshold
```
    - m_activeLeafCount
```
int m_activeLeafCount
```
    - m_inactiveLeafCount
```
int m_inactiveLeafCount
```
    - m_decisionNodeCount
```
int m_decisionNodeCount
```
    - m_printLeafModels
```
boolean m_printLeafModels
```
- Class weka.classifiers.trees.J48 extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  -217733168393644444L
  - Serialized Fields
    - m_root
```
weka.classifiers.trees.j48.ClassifierTree m_root
```
    - m_unpruned
```
boolean m_unpruned
```
    - m_collapseTree
```
boolean m_collapseTree
```
    - m_CF
```
float m_CF
```
    - m_minNumObj
```
int m_minNumObj
```
    - m_useMDLcorrection
```
boolean m_useMDLcorrection
```
    - m_useLaplace
```
boolean m_useLaplace
```
    - m_reducedErrorPruning
```
boolean m_reducedErrorPruning
```
    - m_numFolds
```
int m_numFolds
```
    - m_binarySplits
```
boolean m_binarySplits
```
    - m_subtreeRaising
```
boolean m_subtreeRaising
```
    - m_noCleanup
```
boolean m_noCleanup
```
    - m_Seed
```
int m_Seed
```
    - m_doNotMakeSplitPointActualValue
```
boolean m_doNotMakeSplitPointActualValue
```
- Class weka.classifiers.trees.J48graft extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  8823716098042427799L
  - Serialized Fields
    - m_root
```
weka.classifiers.trees.j48.ClassifierTree m_root
```
      The decision tree
    - m_unpruned
```
boolean m_unpruned
```
      Unpruned tree?
    - m_CF
```
float m_CF
```
      Confidence level
    - m_minNumObj
```
int m_minNumObj
```
      Minimum number of instances
    - m_useLaplace
```
boolean m_useLaplace
```
      Determines whether probabilities are smoothed using Laplace correction when predictions are generated
    - m_numFolds
```
int m_numFolds
```
      Number of folds for reduced error pruning.
    - m_binarySplits
```
boolean m_binarySplits
```
      Binary splits on nominal attributes?
    - m_subtreeRaising
```
boolean m_subtreeRaising
```
      Subtree raising to be performed?
    - m_noCleanup
```
boolean m_noCleanup
```
      Cleanup after the tree has been built.
    - m_relabel
```
boolean m_relabel
```
      relabel instances when grafting
- Class weka.classifiers.trees.LMT extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  -1113212459618104943L
  - Serialized Fields
    - m_replaceMissing
```
weka.filters.unsupervised.attribute.ReplaceMissingValues m_replaceMissing
```
    - m_nominalToBinary
```
weka.filters.supervised.attribute.NominalToBinary m_nominalToBinary
```
    - m_tree
```
weka.classifiers.trees.lmt.LMTNode m_tree
```
    - m_fastRegression
```
boolean m_fastRegression
```
    - m_convertNominal
```
boolean m_convertNominal
```
    - m_splitOnResiduals
```
boolean m_splitOnResiduals
```
    - m_errorOnProbabilities
```
boolean m_errorOnProbabilities
```
    - m_minNumInstances
```
int m_minNumInstances
```
    - m_numBoostingIterations
```
int m_numBoostingIterations
```
    - m_weightTrimBeta
```
double m_weightTrimBeta
```
    - m_useAIC
```
boolean m_useAIC
```
    - m_doNotMakeSplitPointActualValue
```
boolean m_doNotMakeSplitPointActualValue
```
- Class weka.classifiers.trees.M5P extends weka.classifiers.trees.m5.M5Base implements Serializable
  
  serialVersionUID:
  
  -6118439039768244417L
- Class weka.classifiers.trees.RandomForest extends weka.classifiers.meta.Bagging implements Serializable
  
  serialVersionUID:
  
  1116839470751428698L
  - Serialized Fields
    - m_computeAttributeImportance
```
boolean m_computeAttributeImportance
```
- Class weka.classifiers.trees.RandomTree extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  -9051119597407396024L
  - Serialized Fields
    - m_Tree
```
weka.classifiers.trees.RandomTree.Tree m_Tree
```
    - m_Info
```
weka.core.Instances m_Info
```
    - m_MinNum
```
double m_MinNum
```
    - m_KValue
```
int m_KValue
```
    - m_randomSeed
```
int m_randomSeed
```
    - m_MaxDepth
```
int m_MaxDepth
```
    - m_NumFolds
```
int m_NumFolds
```
    - m_AllowUnclassifiedInstances
```
boolean m_AllowUnclassifiedInstances
```
    - m_BreakTiesRandomly
```
boolean m_BreakTiesRandomly
```
    - m_zeroR
```
weka.classifiers.Classifier m_zeroR
```
    - m_MinVarianceProp
```
double m_MinVarianceProp
```
    - m_computeImpurityDecreases
```
boolean m_computeImpurityDecreases
```
    - m_impurityDecreasees
```
double[][] m_impurityDecreasees
```
- Class weka.classifiers.trees.RandomTree.Tree extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3549573538656522569L
  - Serialized Fields
    - m_Successors
```
weka.classifiers.trees.RandomTree.Tree[] m_Successors
```
    - m_Attribute
```
int m_Attribute
```
    - m_SplitPoint
```
double m_SplitPoint
```
    - m_Prop
```
double[] m_Prop
```
    - m_ClassDistribution
```
double[] m_ClassDistribution
```
    - m_Distribution
```
double[] m_Distribution
```
- Class weka.classifiers.trees.REPTree extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  -9216785998198681299L
  - Serialized Fields
    - m_zeroR
```
weka.classifiers.rules.ZeroR m_zeroR
```
    - m_Tree
```
weka.classifiers.trees.REPTree.Tree m_Tree
```
    - m_NumFolds
```
int m_NumFolds
```
    - m_Seed
```
int m_Seed
```
    - m_NoPruning
```
boolean m_NoPruning
```
    - m_MinNum
```
double m_MinNum
```
    - m_MinVarianceProp
```
double m_MinVarianceProp
```
    - m_MaxDepth
```
int m_MaxDepth
```
    - m_InitialCount
```
double m_InitialCount
```
    - m_SpreadInitialCount
```
boolean m_SpreadInitialCount
```
- Class weka.classifiers.trees.REPTree.Tree extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -1635481717888437935L
  - Serialized Fields
    - m_Info
```
weka.core.Instances m_Info
```
    - m_Successors
```
weka.classifiers.trees.REPTree.Tree[] m_Successors
```
    - m_Attribute
```
int m_Attribute
```
    - m_SplitPoint
```
double m_SplitPoint
```
    - m_Prop
```
double[] m_Prop
```
    - m_ClassProbs
```
double[] m_ClassProbs
```
    - m_Distribution
```
double[] m_Distribution
```
    - m_HoldOutDist
```
double[] m_HoldOutDist
```
    - m_HoldOutError
```
double m_HoldOutError
```
Package weka.classifiers.trees.j48
- Class weka.classifiers.trees.j48.BinC45ModelSelection extends weka.classifiers.trees.j48.ModelSelection implements Serializable
  
  serialVersionUID:
  
  179170923545122001L
  - Serialized Fields
    - m_minNoObj
```
int m_minNoObj
```
    - m_useMDLcorrection
```
boolean m_useMDLcorrection
```
    - m_allData
```
weka.core.Instances m_allData
```
    - m_doNotMakeSplitPointActualValue
```
boolean m_doNotMakeSplitPointActualValue
```
- Class weka.classifiers.trees.j48.BinC45Split extends weka.classifiers.trees.j48.ClassifierSplitModel implements Serializable
  
  serialVersionUID:
  
  -1278776919563022474L
  - Serialized Fields
    - m_attIndex
```
int m_attIndex
```
    - m_minNoObj
```
int m_minNoObj
```
    - m_useMDLcorrection
```
boolean m_useMDLcorrection
```
    - m_splitPoint
```
double m_splitPoint
```
    - m_infoGain
```
double m_infoGain
```
    - m_gainRatio
```
double m_gainRatio
```
    - m_sumOfWeights
```
double m_sumOfWeights
```
- Class weka.classifiers.trees.j48.C45ModelSelection extends weka.classifiers.trees.j48.ModelSelection implements Serializable
  
  serialVersionUID:
  
  3372204862440821989L
  - Serialized Fields
    - m_minNoObj
```
int m_minNoObj
```
    - m_useMDLcorrection
```
boolean m_useMDLcorrection
```
    - m_allData
```
weka.core.Instances m_allData
```
    - m_doNotMakeSplitPointActualValue
```
boolean m_doNotMakeSplitPointActualValue
```
- Class weka.classifiers.trees.j48.C45PruneableClassifierTree extends weka.classifiers.trees.j48.ClassifierTree implements Serializable
  
  serialVersionUID:
  
  -4813820170260388194L
  - Serialized Fields
    - m_pruneTheTree
```
boolean m_pruneTheTree
```
    - m_collapseTheTree
```
boolean m_collapseTheTree
```
    - m_CF
```
float m_CF
```
    - m_subtreeRaising
```
boolean m_subtreeRaising
```
    - m_cleanup
```
boolean m_cleanup
```
- Class weka.classifiers.trees.j48.C45PruneableClassifierTreeG extends weka.classifiers.trees.j48.ClassifierTree implements Serializable
  
  serialVersionUID:
  
  66981207374331964L
  - Serialized Fields
    - m_pruneTheTree
```
boolean m_pruneTheTree
```
      True if the tree is to be pruned.
    - m_CF
```
float m_CF
```
      The confidence factor for pruning.
    - m_subtreeRaising
```
boolean m_subtreeRaising
```
      Is subtree raising to be performed?
    - m_cleanup
```
boolean m_cleanup
```
      Cleanup after the tree has been built.
    - m_relabel
```
boolean m_relabel
```
      flag for using relabelling when grafting
    - m_BiProbCrit
```
double m_BiProbCrit
```
      binomial probability critical value
    - m_Debug
```
boolean m_Debug
```
- Class weka.classifiers.trees.j48.C45Split extends weka.classifiers.trees.j48.ClassifierSplitModel implements Serializable
  
  serialVersionUID:
  
  3064079330067903161L
  - Serialized Fields
    - m_complexityIndex
```
int m_complexityIndex
```
    - m_attIndex
```
int m_attIndex
```
    - m_minNoObj
```
int m_minNoObj
```
    - m_useMDLcorrection
```
boolean m_useMDLcorrection
```
    - m_splitPoint
```
double m_splitPoint
```
    - m_infoGain
```
double m_infoGain
```
    - m_gainRatio
```
double m_gainRatio
```
    - m_sumOfWeights
```
double m_sumOfWeights
```
    - m_index
```
int m_index
```
- Class weka.classifiers.trees.j48.ClassifierSplitModel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4280730118393457457L
  - Serialized Fields
    - m_distribution
```
weka.classifiers.trees.j48.Distribution m_distribution
```
    - m_numSubsets
```
int m_numSubsets
```
- Class weka.classifiers.trees.j48.ClassifierTree extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -8722249377542734193L
  - Serialized Fields
    - m_toSelectModel
```
weka.classifiers.trees.j48.ModelSelection m_toSelectModel
```
    - m_localModel
```
weka.classifiers.trees.j48.ClassifierSplitModel m_localModel
```
    - m_sons
```
weka.classifiers.trees.j48.ClassifierTree[] m_sons
```
    - m_isLeaf
```
boolean m_isLeaf
```
    - m_isEmpty
```
boolean m_isEmpty
```
    - m_train
```
weka.core.Instances m_train
```
    - m_test
```
weka.classifiers.trees.j48.Distribution m_test
```
    - m_id
```
int m_id
```
- Class weka.classifiers.trees.j48.Distribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  8526859638230806576L
  - Serialized Fields
    - m_perClassPerBag
```
double[][] m_perClassPerBag
```
    - m_perBag
```
double[] m_perBag
```
    - m_perClass
```
double[] m_perClass
```
    - totaL
```
double totaL
```
- Class weka.classifiers.trees.j48.EntropyBasedSplitCrit extends weka.classifiers.trees.j48.SplitCriterion implements Serializable
  
  serialVersionUID:
  
  -2618691439791653056L
- Class weka.classifiers.trees.j48.EntropySplitCrit extends weka.classifiers.trees.j48.EntropyBasedSplitCrit implements Serializable
  
  serialVersionUID:
  
  5986252682266803935L
- Class weka.classifiers.trees.j48.GainRatioSplitCrit extends weka.classifiers.trees.j48.EntropyBasedSplitCrit implements Serializable
  
  serialVersionUID:
  
  -433336694718670930L
- Class weka.classifiers.trees.j48.GraftSplit extends weka.classifiers.trees.j48.ClassifierSplitModel implements Serializable
  
  serialVersionUID:
  
  722773260393182051L
  - Serialized Fields
    - m_graftdistro
```
weka.classifiers.trees.j48.Distribution m_graftdistro
```
      the distribution for graft values, from cases in atbop
    - m_attIndex
```
int m_attIndex
```
      the attribute we are splitting on
    - m_splitPoint
```
double m_splitPoint
```
      value of split point (if numeric attribute)
    - m_maxClass
```
int m_maxClass
```
      dominant class of the subset specified by m_testType
    - m_otherLeafMaxClass
```
int m_otherLeafMaxClass
```
      dominant class of the subset not specified by m_testType
    - m_laplace
```
double m_laplace
```
      laplace value of the subset specified by m_testType for m_maxClass
    - m_leafdistro
```
weka.classifiers.trees.j48.Distribution m_leafdistro
```
      leaf for the subset specified by m_testType
    - m_testType
```
int m_testType
```
      type of test: 0: <= test 1: > test 2: = test 3: != test
- Class weka.classifiers.trees.j48.InfoGainSplitCrit extends weka.classifiers.trees.j48.EntropyBasedSplitCrit implements Serializable
  
  serialVersionUID:
  
  4892105020180728499L
- Class weka.classifiers.trees.j48.ModelSelection extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -4850147125096133642L
- Class weka.classifiers.trees.j48.NBTreeClassifierTree extends weka.classifiers.trees.j48.ClassifierTree implements Serializable
  
  serialVersionUID:
  
  -4472639447877404786L
- Class weka.classifiers.trees.j48.NBTreeModelSelection extends weka.classifiers.trees.j48.ModelSelection implements Serializable
  
  serialVersionUID:
  
  990097748931976704L
  - Serialized Fields
    - m_minNoObj
```
int m_minNoObj
```
    - m_allData
```
weka.core.Instances m_allData
```
- Class weka.classifiers.trees.j48.NBTreeNoSplit extends weka.classifiers.trees.j48.ClassifierSplitModel implements Serializable
  
  serialVersionUID:
  
  7824804381545259618L
  - Serialized Fields
    - m_nb
```
weka.classifiers.bayes.NaiveBayesUpdateable m_nb
```
    - m_disc
```
weka.filters.supervised.attribute.Discretize m_disc
```
    - m_errors
```
double m_errors
```
- Class weka.classifiers.trees.j48.NBTreeSplit extends weka.classifiers.trees.j48.ClassifierSplitModel implements Serializable
  
  serialVersionUID:
  
  8922627123884975070L
  - Serialized Fields
    - m_complexityIndex
```
int m_complexityIndex
```
    - m_attIndex
```
int m_attIndex
```
    - m_sumOfWeights
```
double m_sumOfWeights
```
    - m_errors
```
double m_errors
```
    - m_c45S
```
weka.classifiers.trees.j48.C45Split m_c45S
```
    - m_globalNB
```
weka.classifiers.trees.j48.NBTreeNoSplit m_globalNB
```
- Class weka.classifiers.trees.j48.NoSplit extends weka.classifiers.trees.j48.ClassifierSplitModel implements Serializable
  
  serialVersionUID:
  
  -1292620749331337546L
- Class weka.classifiers.trees.j48.PruneableClassifierTree extends weka.classifiers.trees.j48.ClassifierTree implements Serializable
  
  serialVersionUID:
  
  -555775736857600201L
  - Serialized Fields
    - pruneTheTree
```
boolean pruneTheTree
```
    - numSets
```
int numSets
```
    - m_cleanup
```
boolean m_cleanup
```
    - m_seed
```
int m_seed
```
- Class weka.classifiers.trees.j48.SplitCriterion extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  5490996638027101259L

Serialized Form

Package weka.classifiers.trees

Class weka.classifiers.trees.DecisionStump extends weka.classifiers.AbstractClassifier implements Serializable

Serialized Fields

m_AttIndex

m_SplitPoint

m_Distribution

m_Instances

m_ZeroR

Class weka.classifiers.trees.HoeffdingTree extends weka.classifiers.AbstractClassifier implements Serializable

Serialized Fields

m_header

m_root

m_gracePeriod

m_splitConfidence

m_hoeffdingTieThreshold

m_minFracWeightForTwoBranchesGain

m_selectedSplitMetric

m_splitMetric

m_leafStrategy

m_nbThreshold

m_activeLeafCount

m_inactiveLeafCount

m_decisionNodeCount

m_printLeafModels

Class weka.classifiers.trees.J48 extends weka.classifiers.AbstractClassifier implements Serializable

Serialized Fields

m_root

m_unpruned

m_collapseTree

m_CF

m_minNumObj

m_useMDLcorrection

m_useLaplace

m_reducedErrorPruning

m_numFolds

m_binarySplits

m_subtreeRaising

m_noCleanup

m_Seed

m_doNotMakeSplitPointActualValue

Class weka.classifiers.trees.J48graft extends weka.classifiers.AbstractClassifier implements Serializable

Serialized Fields

m_root

m_unpruned

m_CF

m_minNumObj

m_useLaplace

m_numFolds

m_binarySplits

m_subtreeRaising

m_noCleanup

m_relabel

Class weka.classifiers.trees.LMT extends weka.classifiers.AbstractClassifier implements Serializable

Serialized Fields

m_replaceMissing

m_nominalToBinary

m_tree

m_fastRegression

m_convertNominal

m_splitOnResiduals

m_errorOnProbabilities

m_minNumInstances

m_numBoostingIterations

m_weightTrimBeta

m_useAIC

m_doNotMakeSplitPointActualValue

Class weka.classifiers.trees.M5P extends weka.classifiers.trees.m5.M5Base implements Serializable

Class weka.classifiers.trees.RandomForest extends weka.classifiers.meta.Bagging implements Serializable

Serialized Fields

m_computeAttributeImportance

Class weka.classifiers.trees.RandomTree extends weka.classifiers.AbstractClassifier implements Serializable

Serialized Fields

m_Tree

m_Info

m_MinNum

m_KValue

m_randomSeed

m_MaxDepth

m_NumFolds