weka-3.6.1.jar

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Weka/weka-3.6.1.jar
TunedIT

public locked
4.9 MB
2009-08-18 10:43:08

Description

Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. Weka is covered by GNU General Public License.

See Weka homepage for more information.

Example algorithms from Weka that can be evaluated with RegressionTT70 evaluation procedure:

weka.classifiers.functions.GaussianProcesses
weka.classifiers.functions.IsotonicRegression
weka.classifiers.functions.LeastMedSq
weka.classifiers.functions.LinearRegression
weka.classifiers.functions.MultilayerPerceptron
weka.classifiers.functions.PaceRegression
weka.classifiers.functions.RBFNetwork
weka.classifiers.functions.SMOreg
weka.classifiers.lazy.KStar
weka.classifiers.lazy.LWL
weka.classifiers.meta.AdditiveRegression
weka.classifiers.meta.Bagging
weka.classifiers.meta.RandomSubSpace
weka.classifiers.meta.RegressionByDiscretization
weka.classifiers.rules.ConjunctiveRule
weka.classifiers.rules.DecisionTable
weka.classifiers.rules.ZeroR
weka.classifiers.trees.DecisionStump
weka.classifiers.trees.REPTree

Example classification algorithms from Weka that can be evaluated with ClassificationTT70 evaluation procedure:

weka.classifiers.bayes.AODE
weka.classifiers.bayes.AODEsr
weka.classifiers.bayes.ComplementNaiveBayes
weka.classifiers.bayes.NaiveBayes
weka.classifiers.bayes.NaiveBayesSimple
weka.classifiers.functions.Logistic
weka.classifiers.functions.MultilayerPerceptron
weka.classifiers.functions.RBFNetwork
weka.classifiers.functions.SMO
weka.classifiers.functions.VotedPerceptron
weka.classifiers.functions.Winnow
weka.classifiers.lazy.IB1
weka.classifiers.lazy.KStar
weka.classifiers.lazy.LBR
weka.classifiers.lazy.LWL
weka.classifiers.meta.AdaBoostM1
weka.classifiers.meta.AttributeSelectedClassifier
weka.classifiers.meta.Bagging
weka.classifiers.meta.ClassificationViaClustering
weka.classifiers.meta.ClassificationViaRegression
weka.classifiers.meta.Dagging
weka.classifiers.meta.Decorate
weka.classifiers.meta.END
weka.classifiers.meta.FilteredClassifier
weka.classifiers.meta.LogitBoost
weka.classifiers.meta.MultiBoostAB
weka.classifiers.meta.MultiClassClassifier
weka.classifiers.meta.OrdinalClassClassifier
weka.classifiers.meta.RacedIncrementalLogitBoost
weka.classifiers.meta.RandomCommittee
weka.classifiers.meta.RandomSubSpace
weka.classifiers.meta.RotationForest
weka.classifiers.meta.ThresholdSelector
weka.classifiers.misc.HyperPipes
weka.classifiers.misc.VFI
weka.classifiers.rules.ConjunctiveRule
weka.classifiers.rules.DTNB
weka.classifiers.rules.DecisionTable
weka.classifiers.rules.NNge
weka.classifiers.rules.OneR
weka.classifiers.rules.PART
weka.classifiers.rules.Ridor
weka.classifiers.rules.ZeroR
weka.classifiers.trees.ADTree
weka.classifiers.trees.BFTree
weka.classifiers.trees.DecisionStump
weka.classifiers.trees.FT
weka.classifiers.trees.J48
weka.classifiers.trees.J48graft
weka.classifiers.trees.LADTree
weka.classifiers.trees.LMT
weka.classifiers.trees.NBTree
weka.classifiers.trees.REPTree
weka.classifiers.trees.RandomForest
weka.classifiers.trees.RandomTree
weka.classifiers.trees.SimpleCart


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Repository /Weka/weka-3.6.1.jar

Description

Classes contained in this JAR: