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RandomForest.runClassifier
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How to use
runClassifier
method
in
weka.classifiers.trees.RandomForest

Best Java code snippets using weka.classifiers.trees.RandomForest.runClassifier (Showing top 2 results out of 315)

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}
origin: nz.ac.waikato.cms.weka/weka-stable

 /**
  * Main method for this class.
  * 
  * @param argv the options
  */
 public static void main(String[] argv) {
  runClassifier(new RandomForest(), argv);
 }
}
origin: Waikato/weka-trunk

 /**
  * Main method for this class.
  * 
  * @param argv the options
  */
 public static void main(String[] argv) {
  runClassifier(new RandomForest(), argv);
 }
}
weka.classifiers.treesRandomForestrunClassifier

Popular methods of RandomForest

  • <init>
    Constructor that sets base classifier for bagging to RandomTre and default number of iterations to 1
  • computeAverageImpurityDecreasePerAttribute
    Computes the average impurity decrease per attribute over the trees
  • defaultClassifierString
    String describing default classifier.
  • defaultNumberOfIterations
    The default number of iterations to perform.
  • getBagSizePercent
  • getCalcOutOfBag
  • getClassifier
  • getComputeAttributeImportance
    Get whether to compute and output attribute importance scores
  • getDoNotCheckCapabilities
  • getNumDecimalPlaces
  • getNumExecutionSlots
  • getNumIterations
  • getNumExecutionSlots,
  • getNumIterations,
  • getOutputOutOfBagComplexityStatistics,
  • getPrintClassifiers,
  • getStoreOutOfBagPredictions,
  • getTechnicalInformation,
  • setBagSizePercent,
  • setBatchSize,
  • setCalcOutOfBag

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