***PLEASE ANSWER IN THE MOST BASIC FORM AND BUILD A BASIC DECISION TREE**

You have been given a binary classification problem (positiveegative) where the original dataset contains 29 positive and 35 negative samples. We have 2 features of A1 and A2 which can be used for splitting the data. We would like to build a decision tree and figure below provides the resulting splits for each feature. Which feature would you use to split the data? A1 or A2? Justify your answer.

Tip: use information gain.

Task 2 You have been given a binary classification problem (positiveegative) where the original dataset contains 29 positive and 35 negative samples. We have 2 features of A1 and A2 which can be used for splitting the data. We would like to build a decision tree and figure below provides the resulting splits for each feature. Which feature would you use to split the data? A1 or A2? Justify your answer. Tip: use information gain. 1 [29+,35-) A1 = ? [29+,35-] A2=? 28 [21+,5-] [8+,30-] [18+,33-] [11+,2- ]