Develop a Python Orange program to train a machine learning classifiers to classify the mobile phone price range: Fundamentals of AI Assignment, NUS, Singapore

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:

1. 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.
2. Explain the purpose of the training, validation, and test data in the machine learning workflow.
3. 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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