Using Meta-Learners

• java <meta-scheme class> -W <base-learner> [meta-options] -- [base-options]

  • The double minus sign (--) separates the two lists of options, e.g.
    java weka.classifiers.Bagging –I 8 -W weka.classifiers.j48.J48 -t iris.arff -- -U

• MultiClassClassifier allows you to use a binary classifier for multiclass data

  java weka.classifiers.MultiClassClassifier –W weka.classifiers.SMO –t weather.arff
  

• CVParameterSelection finds best value for specified param using CV

  • Use –P option to specify the parameter and space to search
    -P “<param name> <starting value> <last value> <# of steps>, e.g.
    java …CVParameterSelection –W …OneR –P “B 1 10 10” –t iris.arff

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