Question: what is answer and how to get a answer for attachments? Question 7 (5 points) Consider the following training set with binary response Y and

what is answer and how to get a answer for attachments?

Question 7 (5 points) Consider the following training set with binary response Y and three predictors X1, X2, X3. Learn a decision tree from this training set using the information gain (IG) criterion with entropy as the impurity measurement. Remind that entropy I(D =- E PR log2 (PR). where Ple represents the proportion of training observations in the data D that are from the k-th class. IG D, X, = I(D) N I ( Dleft ) Newell I ( Dright ) is the Information gain of splitting data D using feature X j. where left, Dright is the training set of left child node and right child node, and IV, IVleft, IVright is sample size in parent node, left child node, and X 2 X3 Y 1 0 1 1 1 right child node. Which predictor will be used by decision tree to split the root node? If two predictors have the same Information gain, break ties randomly. OX, or X 2 or X's OX1 OX2 OX10 X3

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