Consider the following data set on lung diseases. Your goal is to build a Nave Bayes classifier that predicts whether a person has Bronchitis or Tuberculosis, given his/her symptoms Disease X-ray Shadow DyspneaLung Inflamation Bronchitis Bronchitis Bronchitis Tuberculosis Yes Yes Yes Yes Yes Yes Yes Yes Yes Tubercul oS1S Yes Tuberculosis Yes 1. (1 point) List the distributions that would be learned if you use a maximum likelihood estimate (MLE) to estimate the parameters of a Nave Bayes model from this data (e.g. P(Dyspnea Bronchitis)-) Include all of the parameters. Show your work 2. (1 point) Based on your learned model, diagnose a patient with the on your learned model, diagnose a patient with following symptoms (show your work) X-ray Shadow Dyspnea Lung Inflamation Yes Yes