Guided Inquiry 17: Information gain /decision tree serialization

Watch the following videos:

• Decision trees: Information gain and entropy Links to an external site.
• Decision trees: Finding the best feature threshold Links to an external site.

These videos will prepare you for Monday's class activity.

In addition, implement the following in your code from Class Activity 16: Decision tree implementation:

• the saveModel() function in decision-tree.py / DecisionTree.java
• the loadModel() function in decision-tree.py / DecisionTree.java

I have not given you the pseudo code for these, nor have I specified the format you should you. I want you to think about how to serialize (i.e., save) a tree in a way that makes de-serializing (i.e., loading) relatively simple. You may use whatever resources you want, but I think it's a beneficial exercise to think about it on your own or with a partner.

Do not spend more than 2 hours on the programming. Submit the files you have modified by that point.