CS 66 Lab 3

Due Monday, 09/19/2022, by midnight (23:59, EST)

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Goals

The goals for this lab assignment are:

  • Understand Classification

  • Understand Regression

  • Get familiar with the Iris dataset

  • Get familiar with the Final Paper format

1. Supervised Learning (Three Hours)

  • User Guide

  • Locate the Iris dataset examples in 1. Supervised learning

  • Compare and Summarize the different Iris examples

  • Write down you findings in the final paper AAAI format.

2. Final Paper Format (Two Hours)

3. Find a teammate (One Hour)

  • Find your teammate for the labs, midterm and Final

  • Write a summary and reasons to select

  • Work together on this lab and so on

4. Submission Guide

  • Each student team only submits one file, lab_3_lastname1_lastname2.zip, including

    1. lab_3_lastname1_lastname2.pdf in AAAI format

    2. Select your favorite three Supervised Learning code examples using Iris dataset, and explain why in your PDF

  • Start a shared Github project for your team, add your teammate, the instructor and TA

5. Notes

  • Email 'xqu1@swarthmore.edu' your zip file for lab 3, and cc your teammate.

  • Lab assignments will typically be released on Tuesday and will be due by midnight on the following Monday.