CS 66 Lab 9

Due Wednesday, November 23rd, by midnight (23:59 EST), before Thanksgiving

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Finish the programming part of your final project, examples
1. Single algorithms, LDA, SVM, KNN, and their variations etc.
2. Ensemble methods, Random Forest, Boosting, Voting, and their variations etc.
3. Deep learning, CNN, RNN, Transformer, and their variations etc.
Submit your Python code related to your lab 9, and
1. Make sure the README is clear for recreating your results.
2. Take screenshots of your primary results.
3. Cite the references, especially where you get the existing code.
4. Please do NOT email me your dataset. Instead, write a guide on where to download it, similar to the README examples of EEGEyeNet.
Write the final paper in AAAI two-page format. Your drafts should include:
Title, anonymous authors, and Abstract
Introduction
Related work
Method: the Algorithms you select should be mentioned in the 'Methods' section.
Result: the results should be reported in the 'Results' section.
Discussion: the evaluation should be included in the 'Discussion' section.
Conclusion
Submit your optional supplement files for reviewers to understand your project better.

For double-blind peer review, please hide your author information.
Hide the author’s information for double-blind peer review.
Hide author information everywhere in your submission, including PDF, TXT, and Python files.
Each team only submits one file, lab_9.zip, including
1. A code folder for ALL your Python Code and support files to recreate your results.
2. lab_9.PDF for your two-page poster draft in AAAI format.
3. Supplement.PDF for your optional supplement.

This lab is a team assignment.
Each team only needs to submit one ZIP file in the double-blind way. The zip file size should be less than 10 M.
Email 'xqu1@swarthmore.edu' your lab files as lab_9.zip.