Train 2 models, one on the train_0_1 set and another on train_3_5, and report the training and test accuracies.
Repeat 3a 10 times, i.e. you should obtain 10 train and test accuracies for each set. Calculate the average train and test accuracies over the 10 runs, and report them.
For 0,1 and 3,5 cases, explain if you observe any difference you in accuracy. Also, explain why do you think this difference might be.
This assignment deals with binary classification. Explain what you would do if you had more than two classes to classify, using logistic regression.
In this question, you will experiment with different sets of parameters and observe how your model performs. This should be done ONLY for 3,5 classification.
Experiment with different initializations of the parameter used for gradient descent .
Clearly mention the initial values of the parameter tried, run the same experiment as 3b using this initialization, report the average test and train accuracies obtained by using this initialization, mention which is set of initializations is the better.
Experiment with different convergence criteria for gradient descent. Clearly mention the new criteria tried, run the same experiment as 3b using this new criteria, report average test and train accuracies obtained using this criteria, mention which set of criteria is better.