print('mean of accuracy:') print('naive bayes', np.array(results_nbc).mean()) print('decision tree', np.array(results_dtc).mean()) # 2. use test_deals.txt for classification nbc = NaiveBayesClassifier(dataset) dtc = DecisionTreeClassifier(dataset) print('naive bayes classification:') for text in test_dat: print(text, nbc.classify(text)) print('decision tree classification:') for text in test_dat: print(text, dtc.classify(text)) # other classifiers ... #########################################enf of task3.py ###########################################task3b.py """ Classification The objective of this task is to build a classifier that can tell us whether a new, unseen deal requires a coupon code or not. We would like to see a couple of steps: