def run_randomforest(train_examples, train_labels, attributes, test_examples,
test_labels, n_trees):
rforest = RandomForest(entropy, 2, n_trees, len(attributes))
rforest.train_dataset(train_examples, attributes, train_labels)
preds, error = rforest.test_dataset(test_examples, test_labels)
return error
