forestOne.classify(test, new MultiCallback(testError, treeError, errorOne));
}
sumTestErr += ErrorEstimate.errorRate(testLabels, testError.computePredictions(rng));
sumOneErr += ErrorEstimate.errorRate(testLabels, errorOne.computePredictions(rng));
sumTreeErr += treeError.meanTreeError();
}
public static void main(String[] args) throws Exception {
ToolRunner.run(new Configuration(), new BreimanExample(), args);
}