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Index

(A full index to the course appears at the end of Week 1.)

TOPIC   Step
Datasets Breast-cancer 4.9, 4.14
  Cpu 4.4, 4.5
  Cpu.with.vendor 4.5
  Credit-g 4.12
  Diabetes 4.6, 4.8, 4.14
  Glass 4.9
  Ionosphere 4.9
  Iris 4.2, 4.3, 4.7, 4.11
  Labor 4.9
Classifiers DecisionStump 4.14
  IBk 4.2, 4.3, 4.12
  J48 4.2, 4.8, 4.9, 4.12
  LinearRegression 4.4, 4.5, 4.6, 4.7
  Logistic 4.3, 4.8, 4.9, 4.11, 4.12
  M5P 4.4, 4.5
  NaiveBayes 4.2, 4.8, 4.9
  OneR 4.2, 4.6, 4.9, 4.14
  SMO 4.3, 4.11, 4.12
  ZeroR 4.6, 4.8, 4.9, 4.14
Metalearners AdaBoostM1 4.13, 4.14
  Bagging 4.13
  RandomForest 4.3
  Stacking, StackingC 4.13
Filters AddClassification 4.6
  AddID 4.7
  MakeIndicator 4.7
  NominalToBinary 4.5, 4.6
  NumericToNominal 4.6
Packages LibSVM 4.11
Plus … Boundary visualizer 4.11
  Contrabassoon 4.11
  Output predictions 4.7, 4.9
  Visualize classification boundaries 4.2, 4.3

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Data Mining with Weka

The University of Waikato

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