Objective: This assignment is for you to learn about supervised learning, particularly about decision trees and candidate elimination algorithms. Please solve the following problems, No computer programming is required in this section. Problem Statement: 1. Decision Tree(DT). a. Apply the DT algorithm to the training data provided in the following data. Please show all calculations ustifying your answer Training FeverVg Diarrhea Shivering Classification no no no average no highno high yes average no influenza(l) influenza(l) Salmonella poisoning (S) Salmonella poisoning (S Bowel inflammation (B) Bowel inflammation (B) no no no no no no average yes no b. Does the resulting decision tree provide a disjoint definition of the classes? Objective: This assignment is for you to learn about supervised learning, particularly about decision trees and candidate elimination algorithms. Please solve the following problems, No computer programming is required in this section. Problem Statement: 1. Decision Tree(DT). a. Apply the DT algorithm to the training data provided in the following data. Please show all calculations ustifying your answer Training FeverVg Diarrhea Shivering Classification no no no average no highno high yes average no influenza(l) influenza(l) Salmonella poisoning (S) Salmonella poisoning (S Bowel inflammation (B) Bowel inflammation (B) no no no no no no average yes no b. Does the resulting decision tree provide a disjoint definition of the classes