IMPORTANT: PUT YOUR NETID IN THE FILE netid in the root directory of the assignment.
This is used to put the autograder output into Canvas. Please don't put someone else's netid
here, we will check.
In this assignment, you will:
- Understand and implement evaluation measures for machine learning algorithms
- Implement information gain and entropy measures
- Implement a decision tree with the ID3 algorithm
- Implement a prior probability classifier
- Compare and contrast machine learning approaches on different datasets
- Write up your results in a clear concise report
To clone this repository run the following command:
git clone https://github.com/nucs349/hw1-decision-trees-[your_username]
[your_username] is replaced in the above link by your Github username. Alternatively, just look at the link in your address bar if you're viewing this README in your submission repository in a browser. Once cloned, cd into the cloned repository. Every assignment has some files that you edit to complete it.
See problems.md for what files you will edit.
Do not edit anything in the tests directory. Files can be added to tests but files that exist already cannot be edited. Modifications to tests will be checked for.
Make a conda environment for this assignment, and then run:
pip install -r requirements.txt
The test cases can be run with:
python -m pytest -s
at the root directory of the assignment repository.
Simply open an issue on the starter code repository for this assignment here. Someone from the teaching staff will get back to you through there!