Adaboost

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Work with your assigned partner to write a Python script to fit a decision tree, a Random Forest classifier, an Adaboost classifer based on "decision stumps", and Adaboost classifier with a different base learner.

Fit those three models on both the raisin data set and the spam email data set. Answer the following questions:

1. What is the F1 score for all models on each data set?
2. Which model worked better and by how much?
3. Which hyperparameter settings worked best for each model?

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1. GFU
2. CSIS
3. J. Walker Orr
4. CSIS 441