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Homework 4 (due 2/02 at 11:59pm)

As homework, you will complete and submit the in-class exercises from lecture.

Please copy each line of the grading rubric (including number) into a markdown element in your jupyter notebook that matches the cell that completes it, so we don't miss anything during grading :-)

GRADING RUBRIC for Homework 4:

1. Correctly splitting the dataset into train, validate, and holdout	5 points
2. Correctly training your model on the training dataset	5 points
3. Correctly scoring your model on the validation dataset	5 points
4. Correctly explaining if your model overfit or not (or state it is impossible to tell and why)	5 points
5. Tune at least five parameters using GridSearchCV, with 2-4 values for each parameter	5 points
6. Report results if the hyperparamater tuning helped model performance.	5 points

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