| University | National University of Singapore (NUS) |
| Subject | Fundamentals of AI Assignment |
Question 2 Classification of Notes authenticity
You are given a dataset, Mobiledata.csv, which contains features of the phone and their price range. The price range is indicated by the numbers 0,1,2, or 3. Your task is to train a classifier that can accurately detect a mobile phone’s price range.
You are required to:
- Develop a Python Orange program to train a machine learning classifiers to classify the mobile phone price range. The classifier must achieve an F1 score of at least 0.9 on the test dataset.
- Explain the purpose of the training, validation, and test data in the machine learning workflow.
- Suppose you are only allowed to use one feature to train the classifier. Which feature would you choose, and explain why this feature is selected?
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