Using the training data, construct a decision tree for the binary classification of customers of the restaurant $$Captain George$$ into $$Satisfied$$ or $$Unsatisfied$.$ Use the Information Gain $($IG$)$ as the decision criterion to select which attribute to split on$.$ Show your calculations for the IG for all possible attributes for every split. $2.$ Now use the decision tree you have created to predict whether each of the test users will be satisfied or not after their visit to $$Captain George$.[$Note: Please calculate the Information Gain for all the attributes and ex