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Published byKenya Basden Modified about 1 year ago

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Weka

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Preprocessing

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Opening a file

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Editing a file Visualize a variable

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Visualizing pairs of variables

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Missing values

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Discretizing with equalfrequency

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Proportional k-interval discretization

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FSS: ranking variables with mutual information

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FSS

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Filter FSS: CFS

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Supervised classification paradigms

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Assessing performance

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Bayesian classifiers

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Naive Bayes

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TAN

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K-NN = Lazy

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IB1

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IBk

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Rule induction

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RIPPER

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Classification trees: ID3, J48 (C4.5)

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ID3

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J48 (C4.5)

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Logistic regression

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Combining classifiers

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Exercise Id3 All variables FSS1 FSS2 C4.5 RIPPER Naive Bayes TAN Logistic IB1 IBk

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Exercise AdaBoostM1 Bagging Stacking Vote All variables FSS1 FSS2 LBR LMT NBTree RandomForest RandomTree

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