numDecisionTrees(numDecisionTrees),
numSamples((int)dataSet.size()),
numFeatures((int)(dataSet[0].size() - 1)),
-globalDiscardedFeatureIndices(getGlobalDiscardedFeatureIndices()),
globalVariableImportanceList(numFeatures, 0),
treeSplitCriterion(treeSplitCriterion) {
m = MothurOut::getInstance();
+ globalDiscardedFeatureIndices = getGlobalDiscardedFeatureIndices();
// TODO: double check if the implemenatation of 'globalOutOfBagEstimates' is correct
}