Consider the following data set comprised of three binary input attributes (A1, A2, and A3) and...

 

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Consider the following data set comprised of three binary input attributes (A1, A2, and A3) and one binary output: Example A₁ A₂ A3 Output y X1 1 0 0 0 X2 1 0 1 X3 0 1 0 X4 1 1 1 X5 1 1 0 0 0 1 1 Describe how to learn a decision tree for these data. Show the computations (information gain) made to determine the attribute to split at each node. Consider the following data set comprised of three binary input attributes (A1, A2, and A3) and one binary output: Example A₁ A₂ A3 Output y X1 1 0 0 0 X2 1 0 1 X3 0 1 0 X4 1 1 1 X5 1 1 0 0 0 1 1 Describe how to learn a decision tree for these data. Show the computations (information gain) made to determine the attribute to split at each node.

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ANSWER AND EXPLANATION Refer to image Solution According to DTL algorithn Predicate ... View the full answer