Using the file diabetes.csv$,$ build a random forest using eight independent variables and associated data. You can use Powerpoint or any other graphing tool to manually build the trees.

Run $2$ tests data rows through all of your resulting decision trees to validate how well your random forest works. Submit a diagram of $2$ test runs showing the path through the trees.

Use the randomforest.py code and the same $2$ test rows to determine how the application does against your manual trees. Provide screenshots to validate.

You will need to write the appropriate code in the classifyPerson$()$ method to handle the eight independent variables.