Description: This package includes a multi-class cost-sensitive learning method Rescalenew. This is a general method which can be realized in many ways such as instance-weighting, sampling, threshold-moving, etc. This package includes five implementations of the method, that is, instance-weighting+C4.5, over-sampling+C4.5, under-sampling+C4.5, threshold-moving+NN and threshold-moving+PETs (probability estimation trees).
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File list (Check if you may need any files):
CostGenerator\coMatrix.m
.............\ConsistentCostMatrixGen.asv
.............\ConsistentCostMatrixGen.m
.............\CostMatrixGen.m
.............\CostMatrixGenerator.asv
.............\example.asv
.............\example.m
.............\InconsistentCostMatrixGen.m
CostGenerator
dataset\balance\balance.arff
.......\.......\balance_info.mat
.......\.......\dataset_info.m
.......\balance
.......\syn-a\syn-a.arff
.......\.....\syn-a_info.mat
.......\syn-a
.......\....b\syn-b.arff
.......\.....\syn-b_info.mat
.......\syn-b
.......\....c\syn-c.arff
.......\.....\syn-c_info.mat
.......\syn-c
.......\....d\syn-d.arff
.......\.....\syn-d_info.mat
.......\syn-d
.......\....e\syn-e.arff
.......\.....\syn-e_info.mat
.......\syn-e
.......\....f\syn-f.arff
.......\.....\syn-f_info.mat
.......\syn-f
dataset
lib\src\weka\associations\Apriori.java
...\...\....\............\AprioriItemSet.java
...\...\....\............\Associator.java
...\...\....\............\CaRuleGeneration.java
...\...\....\............\CARuleMiner.java
...\...\....\............\ItemSet.java
...\...\....\............\LabeledItemSet.java
...\...\....\............\PredictiveApriori.java
...\...\....\............\PriorEstimation.java
...\...\....\............\RuleGeneration.java
...\...\....\............\RuleItem.java
...\...\....\............\tertius\AttributeValueLiteral.java
...\...\....\............\.......\Body.java
...\...\....\............\.......\Head.java
...\...\....\............\.......\IndividualInstance.java
...\...\....\............\.......\IndividualInstances.java
...\...\....\............\.......\IndividualLiteral.java
...\...\....\............\.......\Literal.java
...\...\....\............\.......\LiteralSet.java
...\...\....\............\.......\Predicate.java
...\...\....\............\.......\Rule.java
...\...\....\............\.......\SimpleLinkedList.java
...\...\....\............\tertius
...\...\....\............\Tertius.java
...\...\....\associations
...\...\....\.ttributeSelection\ASEvaluation.java
...\...\....\..................\ASSearch.java
...\...\....\..................\AttributeEvaluator.java
...\...\....\..................\AttributeSelection.java
...\...\....\..................\AttributeTransformer.java
...\...\....\..................\BestFirst.java
...\...\....\..................\CfsSubsetEval.java
...\...\....\..................\ChiSquaredAttributeEval.java
...\...\....\..................\ClassifierSubsetEval.java
...\...\....\..................\ConsistencySubsetEval.java
...\...\....\..................\ErrorBasedMeritEvaluator.java
...\...\....\..................\ExhaustiveSearch.java
...\...\....\..................\GainRatioAttributeEval.java
...\...\....\..................\GeneticSearch.java
...\...\....\..................\GreedyStepwise.java
...\...\....\..................\HoldOutSubsetEvaluator.java
...\...\....\..................\InfoGainAttributeEval.java
...\...\....\..................\OneRAttributeEval.java
...\...\....\..................\PrincipalComponents.java
...\...\....\..................\RaceSearch.java
...\...\....\..................\RandomSearch.java
...\...\....\..................\RankedOutputSearch.java
...\...\....\..................\Ranker.java
...\...\....\..................\RankSearch.java
...\...\....\..................\ReliefFAttributeEval.java
...\...\....\..................\StartSetHandler.java
...\...\....\..................\SubsetEvaluator.java
...\...\....\..................\SVMAttributeEval.java
...\...\....\..................\SymmetricalUncertAttributeEval.java
...\...\....\..................\UnsupervisedAttributeEvaluator.java
...\...\....\..................\UnsupervisedSubsetEvaluator.java
...\...\....\..................\WrapperSubsetEval.java
...\...\....\attributeSelection
...\...\....\classifiers\bayes\AODE.java
...\...\....\...........\.....\BayesNet.java
...\...\....\...........\.....\ComplementNaiveBayes.java
...\...\....\...........\.....\NaiveBayes.java
...\...\....\...........\.....\NaiveBayesMultinomial.java
...\...\....\...........\.....\NaiveBayesSimple.java
...\...\....\...........\.....\N
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