Classical Machine Learning Methods - Engineering Assignment Help

Assignment Task

Question No.
Load the training and test data files and answer the following questions:
i. How many training and test examples are there? You can use np.loadtxt for this purpose. Show at least 10 randomly selected objects of each class using plt.matshow.
ii. How many positive and negative examples are there in the training dataset?
iii. Which performance metric (accuracy, AUC-ROC and AUC-PR) should be used? Give your reasoning.
iv. What is the expected accuracy of a random classifier (one that generates random labels for a given example) for this problem over the training and test datasets? Demonstrate why this would be the case.
v. What is the AUC-ROC and AUC-PR of a random classifier for this problem over the training and test datasets? Demonstrate why this would be the case.

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