CS 6364_4364 Lab 4

Due Thursday, 09/19/2024, by midnight (23:59, EST)

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Goals

The goals for this lab assignment are:

  • Understand regression techniques.

  • Gain familiarity with the Diabetes dataset.

  • Practice using the Final Paper format in the HCII template.

  • Understand the double-blind paper submission process.

  • Experience the double-blind peer review process.

  • Finalize teammate selection for future labs and projects.

1. Regression (Three Hours)

  • Review: Analyze 15 examples from the Diabetes dataset.

  • Compare and summarize: Evaluate the differences between the examples and write a brief summary.

  • Selection: Choose three Supervised Learning code examples from the Diabetes dataset. Explain your selection in ML_Algorithms.PDF.

  • Write-Up: Document your findings in the HCII final paper format (same Overleaf project as Lab 3).

2. Final Paper Format (Two Hours)

  • Overleaf Setup: Make a copy of the Overleaf project template, rename it my_project_name, and edit your own copy. Do not edit the template directly.

  • Draft Submission: Submit the first draft of your midterm paper anonymously, following the double-blind process. Focus on two key parts: the dataset and research questions. You can either write a review paper or an experiment paper.

  • Peer Review: Next week, we will peer review the submissions during class.

  • File Management: Share links within each team to ensure everyone works on the same document.

  • Final Paper Format Practice: Add the regression section to your Lab 3 on classification. Name the file ML_Algorithms.PDF. Include page numbers, references, equations, tables, and figures.

3. Literature Review (Two Hours)

4. Midterm Project Idea (One Hour)

  • Write a proposal: Develop your midterm project idea, focusing on the title, dataset, and research questions. Decide whether your paper will be a review paper (analyzing existing literature) or an experiment paper (conducting and reporting on new experiments). Clearly state your choice in the proposal.

  • File Format: Name the file midterm_project_idea.pdf, ensure it is in HCII format, and follow the double-blind process with no author information.

  • Peer Review Preparation: This submission will be used for a double-blind peer review in class next week.

5. Finalize a teammate

  • Teammate selection: Find a teammate for this lab, the midterm, and final project. You will collaborate on this and all subsequent assignments.

6. Submission Guide

  • Submission format: Each team must submit one file named lab_4_lastname1_lastname2.zip. The file should include:

    1. midterm_project_idea.pdf in HCII format, in HCII format, double-blind, with no author information.

    2. ML_Algorithms.PDF in HCII format, containing all findings, summaries, and work from this lab.

  • Create a shared GitHub project for your team, add your teammate and the instructor.

7. Notes

  • Email 'x.qu@gwu.edu' your zip file for lab 4.

  • Lab assignments will be released on Fridays and due the following Thursday.