Question: when it comes to looking for the patient with possible...
When it comes to looking for the patient with possible symptoms for coronavirus "1" = "Having Symptoms", '0' = 'No Symptoms", doctors have been using the following features: Temperature = High(H), Medium(M), Low(L) Coughing = Yes (Y), No (N) Chest-pain = Yes (Y), No (N):
1. With the knowledge that you have obtained about binary classification tree, which feature should be the first one to split here (the most important feature)? Show all necessary working. (8 Marks)
2. Using the understandings about Naive Bayes Classification, please calculate P(Symptom = 1 I Temp = H, Cough = Y, Chest-Pain = N). Show all necessary working. (4 Marks)