Given the following training set for classification problem into two c

1.	Given the following training set for classification problem into two classes “fraud” and “normal”. There are two attributes A1 and A2 taking values 0 or 1. Splitting on which attribute in the root of a decision tree will lead to highest information gain?A1A2Class10fraud11fraud11fraud10normal11fraud00normal00normal00normal11normal10normalA. A1B. A2C. There will be a tie among the attributesD. Not enough information to decide
Answer» ANSWER: not ENOUGH INFORMATION to DECIDE

Given the following training set for classification problem into two classes “fraud” and “normal”. There are two attributes A1 and A2 taking values 0 or 1. Splitting on which attribute in the root of a decision tree will lead to highest information gain?A1A2Class10fraud11fraud11fraud10normal11fraud00normal00normal00normal11normal10normalA. A1B. A2C. There will be a tie among the attributesD. Not enough information to decide

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