def decision_spambase_set():
"""
Solution for HW1 prob 1
"""
print('Homework 1 problem 1 - Regression Decision tree')
print('Spambase Dataset')
spam_data = utils.load_and_normalize_spam_data()
test, train = utils.split_test_and_train(spam_data)
print str(len(train)) + " # in training set <--> # in test " + str(len(test))
dt = train_decision_tree(train)
predicted = test_decision_tree(dt, test)
#print predicted
#print test['is_spam']
error = mystats.calculate_binary_error(predicted, test['is_spam'])
print 'Error: ' + str(error)
