Classifier me = new MaxEntTrainer().train(trainList);
ClassifyingNeighborEvaluator eval =
new ClassifyingNeighborEvaluator(me, "YES");
Trial trial = new Trial(me, trainList);
System.err.println(new ConfusionMatrix(trial));
InfoGain ig = new InfoGain(trainList);
ig.print();
// Clusterer clusterer = new GreedyAgglomerative(training.getInstances().getPipe(),
// eval, 0.5);