Decision Trees Objectives:

1. Observe the 3 dataset( monk1, monk2, and monk3 ) and determine which dataset is the most inadequate one
2. Calculate the Entropy of the training sample
3. Use information gain to decide how the decision tree should be formed based on the training sample
4. Build the decision tree
5. Purne the decision tree