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Manual calculation: Decision Tree Consider the following data table where Play is a class attribute. The training data is shown below. Humidity Outlook Windy Play IL IN IN T L IN Y T Y IN IT H Y Y F IL Y IN IF IL Y IT H IN IN F 1. Build a decision tree that is at least 2 levels deep (the root is at level 1), using the information gain measure for attribute selection.Show all calculations. 2. Suppose the last row's value for Humidity is a missing value ?". Describe two ways in which you can handle the missing value