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m_targetSI
weka.core.SingleIndex m_targetSI
index of the target attribute
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m_target
int m_target
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m_supportString
java.lang.String m_supportString
Holds the user-supplied support value (fraction or absolute num instances)
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m_support
double m_support
Support as a fraction of the total training set
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m_supportCount
int m_supportCount
Support as an instance count
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m_globalTarget
double m_globalTarget
The global value of the attribute of interest (mean or probability)
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m_minImprovement
double m_minImprovement
The minimum improvement necessary to justify adding a test
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m_globalSupport
int m_globalSupport
Actual global support of the target value (discrete target only)
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m_targetIndexSI
weka.core.SingleIndex m_targetIndexSI
For discrete target, the index of the value of interest
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m_targetIndex
int m_targetIndex
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m_maxBranchingFactor
int m_maxBranchingFactor
At each level of the tree consider at most this number extensions
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m_maxRuleLength
int m_maxRuleLength
The maximum depth of a path in the tree (or length of a rule)
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m_treatZeroAsMissing
boolean m_treatZeroAsMissing
Treat zero as missing for nominal attributes (useful for basket data in
sparse format)
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m_numInstances
int m_numInstances
Number of instances in the full data
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m_numNonMissingTarget
int m_numNonMissingTarget
Number of instances with non-missing target values in the full data
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m_head
weka.associations.HotSpot.HotNode m_head
The head of the tree
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m_header
weka.core.Instances m_header
Header of the training data
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m_lookups
int m_lookups
Debugging stuff
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m_insertions
int m_insertions
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m_hits
int m_hits
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m_debug
boolean m_debug
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m_minimize
boolean m_minimize
Minimize, rather than maximize the target
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m_errorMessage
java.lang.String m_errorMessage
Error messages relating to too large/small support values
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m_ruleLookup
java.util.HashMap<K,V> m_ruleLookup
Rule lookup table
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m_outputRules
boolean m_outputRules
True if a set of rules is to be output instead of a tree structure
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m_doNotCheckCapabilities
boolean m_doNotCheckCapabilities
Whether capabilities checking should be disabled