def experiment3(trees, train, test):
# Bag'em
learner = Bagger()
learner.add_classifiers(trees)
# Test
print 'Testing ensemble against \'train\''
results = learner.test(train[0], train[1])
accuracy = sum(r[0] == r[1] for r in results)
print '* Train Accuracy: {0}/{1} ({2:.4f})'.format(
accuracy, len(results),
float(accuracy) / len(results))
print 'Testing ensemble against \'test\''
results = learner.test(test[0], test[1])
accuracy = sum(r[0] == r[1] for r in results)
print '* Test Accuracy: {0}/{1} ({2:.4f})'.format(
accuracy, len(results),
float(accuracy) / len(results))
