Before beginning, make sure your environment is properly set up. This was documented in Hands-On 0: https://github.com/ucsc-cse-40/HO0
This assignment is intended to introduce you to the concept of empirical risk minimization and categories of errors that occur with binary classification tasks.
Submit your assignment by running python3 -m autograder.cli.submission.submit assignment.ipynb
from your local repository directory.
This script will check for your cruzid, password, and assignment number in config.json
and submit your work to a server controlled by the TAs where tests will be run, reporting the results back to you.