\begin{tabular}{|c|c|c|c|} \hline Breathing Difficulty & BodyPain & Fever & Covid Diagnosis \\ \hline Yes & No & No & Positive \\ \hline No & Yes & Yes & Positive \\ \hline No & No & Yes & Positive \\ \hline Yes & No & No & Negative \\ \hline No & No & Yes & Negative \\ \hline No & Yes & No & Negatining \\ \hline Yes & Yes & No & Negative \\ \hline \end{tabular} a) Identify the attribute used at the root, if the decision tree is constructed using ID3 classifier with entropy-based information gain as a crite for attribute selection. Show all the calculations involved. Draw the resultant tree after the first iteration. b) Consider the decision trees given below in the table. Which of the trees is more suitable for the given data? On what measures will choose the appropriate trees? Explain with necessary computations. 05 Question No: 03