EECS 349 Project Status Report

Due 11:59PM Monday, May 21

Assignment

Your project status report document should be a PDF file of at most two pages (it can be shorter). It must cover the following four points:

Start by succinctly defining your task in terms of its inputs and outputs. For example, "our task is to predict the outcomes of baseball games based on attributes of the two teams, along with other factors such as weather and location." Then, briefly (2-3 sentences) say why your task is important.
Describe the data set you have utilized to date. What types of attributes are there, how many attributes, how many examples, and how have you partitioned the data for the purpose of development/training/validation/testing.
Present your preliminary results on the task. Which learning techniques have you tried, and how have they performed? Note: Mention which existing machine learning software packages, if any, you are utilizing. You can use any existing packages you like for the project. Implementing learning algorithms can be, but does not need to be, part of the work you do for the project (if you are implementing algorithms, be sure to tell us this).
Briefly (1-2 paragraphs) describe your plans for the remainder of the quarter, and list any questions or concerns you have.

Submission Instructions

Make sure you are signed up for a numbered ``Project Group'' in Canvas. Then, have ONE person in your group turn in your project status report in Canvas.

Status Meetings

Lastly: if you'd like, you can set up a meeting to discuss project status with the professor and TA(s) on Tuesday, May 22 or Wednesday, May 23. Meetings are optional. The sign-up link for these meetings will be posted in Canvas.