Consider a binary classification with the following training data. Each data is described by 3 attributes: Color, Size, Shape. 1. Use the entropy method to find the best attribute for the root node. (Hint: Calculate the entropy and information gain) 2. Build a complete tree according to the entropy method. The tree should include the class label and training data in each node. 3. Compute the classification error of each node of the tree