Question 1: Deep machine learning. 1) A model has been developed to predict whether or not a given person is infected with the Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2). This predictive model is then applied to a group of ten people, of which three people are truly positive and seven people are truly negative. The developed model predicts that one out of the three positive people is negative and that two out of the seven negative people are positive. All other cases are correctly predicted by the given model. To measure the effectiveness of the developed model, the F1 score is used: (a) Briefly explain the F1 score. (b) Calculate the F1 score obtained by the developed model, expressing the resulting value as a percentage. 2) Briefly explain the use of backpropagation in deep learning. 3) Briefly explain overfitting. What is (are) the best way(s) to prevent overfitting from happening