Uses of Interface
weka.core.AdditionalMeasureProducer

Packages that use AdditionalMeasureProducer

weka.classifiers.functions
weka.classifiers.meta
weka.classifiers.misc
weka.classifiers.rules
weka.classifiers.trees
weka.classifiers.trees.m5
weka.experiment

Uses of AdditionalMeasureProducer in weka.classifiers.functions

Classes in weka.classifiers.functions that implement AdditionalMeasureProducer

class

SimpleLogistic Class for building a logistic regression model using LogitBoost.

Uses of AdditionalMeasureProducer in weka.classifiers.meta

Classes in weka.classifiers.meta that implement AdditionalMeasureProducer

class	AdditiveRegression Meta classifier that enhances the performance of a regression base classifier.
class	AttributeSelectedClassifier Class for running an arbitrary classifier on data that has been reduced through attribute selection.
class	Bagging Class for bagging a classifier.

Uses of AdditionalMeasureProducer in weka.classifiers.misc

Classes in weka.classifiers.misc that implement AdditionalMeasureProducer

class

FLR Fuzzy Lattice Reasoning Classifier FLR Classifier implementation in WEKA The Fuzzy Lattice Reasoning Classifier uses the notion of Fuzzy Lattices for creating a Reasoning Environment.

Uses of AdditionalMeasureProducer in weka.classifiers.rules

Classes in weka.classifiers.rules that implement AdditionalMeasureProducer

class	DecisionTable Class for building and using a simple decision table majority classifier.
class	JRip This class implements a propositional rule learner, Repeated Incremental Pruning to Produce Error Reduction (RIPPER), which is proposed by William W.
class	M5Rules Generates a decision list for regression problems using separate-and-conquer.
class	PART Class for generating a PART decision list.
class	Ridor The implementation of a RIpple-DOwn Rule learner.

Uses of AdditionalMeasureProducer in weka.classifiers.trees

Classes in weka.classifiers.trees that implement AdditionalMeasureProducer

class	ADTree Class for generating an alternating decision tree.
class	J48 Class for generating an unpruned or a pruned C4.5 decision tree.
class	LMT Class for "logistic model tree" classifier.
class	M5P M5P.
class	RandomForest Class for constructing random forests.
class	REPTree Fast decision tree learner.

Uses of AdditionalMeasureProducer in weka.classifiers.trees.m5

Classes in weka.classifiers.trees.m5 that implement AdditionalMeasureProducer

class

M5Base M5Base.

Uses of AdditionalMeasureProducer in weka.experiment

Classes in weka.experiment that implement AdditionalMeasureProducer

class	AveragingResultProducer AveragingResultProducer takes the results from a ResultProducer and submits the average to the result listener.
class	ClassifierSplitEvaluator A SplitEvaluator that produces results for a classification scheme on a nominal class attribute.
class	CostSensitiveClassifierSplitEvaluator A SplitEvaluator that produces results for a classification scheme on a nominal class attribute, including weighted misclassification costs.
class	CrossValidationResultProducer Generates for each run, carries out an n-fold cross-validation, using the set SplitEvaluator to generate some results.
class	DatabaseResultProducer DatabaseResultProducer examines a database and extracts out the results produced by the specified ResultProducer and submits them to the specified ResultListener.
class	LearningRateResultProducer LearningRateResultProducer takes the results from a ResultProducer and submits the average to the result listener.
class	RandomSplitResultProducer Generates a single train/test split and calls the appropriate SplitEvaluator to generate some results.
class	RegressionSplitEvaluator A SplitEvaluator that produces results for a classification scheme on a numeric class attribute.