CS 6364_4364 Lab 3
Due Thursday, 09/12/2024, by midnight (23:59, EST)
Announcements
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Class participation, Google Folder.
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For the midterm assignment, work between weeks 3 and 7 to write an 800-word abstract
Goals
The goals for this lab assignment are:
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Understand Classification
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Understand Regression
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Get familiar with the Iris dataset
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Get familiar with the Midterm and Final Paper format
1. Supervised Learning (Three Hours)
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Locate the Iris dataset examples in 1. Supervised learning
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Compare and Summarize the different Iris examples
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Write down you findings in the final paper AAAI format.
2. Final Paper Format (Two Hours)
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HCII is one of the top twenty HCI conferences
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Read the guide from HCII 2025
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Use the LaTeX format
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Link sharing, each team work on the same overleaf project
3. Find a teammate (One Hour)
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Choose a teammate for the labs, midterm, and final project.
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Write a summary explaining your choice.
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Work together on this lab and all future labs, the midterm, and the final project.
4. Submission Guide
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Each student team only submits one file, lab_3_lastname1_lastname2.zip, including
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lab_3_lastname1_lastname2.pdf in HCII format
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Select your favorite three Supervised Learning code examples using Iris dataset, and explain why in your PDF
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Start a shared Github project for your team, add your teammate and the instructor’s account 'xqu'
5. Notes
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Email 'x.qu@gwu.edu' your zip file for lab 3.
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Lab assignments will be released on Fridays and due the following Thursday.