EECS 349 Project Status Report

Due 11:59PM Monday, May 16

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.
• Briefly (1-2 paragraphs) describe your plans for the remainder of the quarter, and list any questions or concerns you have.

• ONE person in the group turns in the status report document as a pdf.
• All other people in the group instead enter (in the text field, in Canvas) a space-delimited list of the netIDs of the members of the group.