Construct a decision tree from the given data to answer the question 'how two target classes can be differentiated?$\text{'}.$ Use the simple heuristic based on 'the number of instances that can split the dataset into homogenous subsets', as introduced in the lecture, for finding a node and growing the decision tree.

Report the decision tree in the form of decision rules, where each rule shows a branch in the tree. Clearly show all rule conditions $($variable values$)$ and the class they belong to