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

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

double[] nodeCounts = new double[m_data.numAttributes()];
double[] impurityScores =
 computeAverageImpurityDecreasePerAttribute(nodeCounts);
int[] sortedIndices = Utils.sort(impurityScores);
buffer

double[] nodeCounts = new double[m_data.numAttributes()];
double[] impurityScores =
 computeAverageImpurityDecreasePerAttribute(nodeCounts);
int[] sortedIndices = Utils.sort(impurityScores);
buffer

Javadoc

Computes the average impurity decrease per attribute over the trees

Popular methods of RandomForest

<init>
Constructor that sets base classifier for bagging to RandomTre and default number of iterations to 1
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
getOutputOutOfBagComplexityStatistics

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How to use computeAverageImpurityDecreasePerAttributemethodin weka.classifiers.trees.RandomForest

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

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