REPORT AND DUE DATE

• Written Report.

  Your report should contain the following sections with the corresponding discussions:

  1. The required sections of the report that you're re-doing in this project, following the specifications of that project (e.g. decision trees, neural networks, etc.)

  2. Table Summarizing of Results of all the Course Projects

  3. Detail description and analysis of your table.

     • For those methods (e.g. decision trees) for which two or more particular algorithms are listed on the table (e.g. ID3 and J4.8), provide the required information for each of the algorithms listed, in the order they are listed, separated by "/"s (e.g. accuracy 78% / 81%, if the accuracy of your best ID3 decision tree was 78% and the accuracy of your best J4.8 decision tree was 81% on the dataset analyzed).

     • Discuss the strengths and the weaknesses of each of those machine leaning methods over the datasets used for the projects.

• Oral Report. We will discuss the results from the individual projects during the class on April 26th. Your oral report should summarize the different sections of your written report as described above. Each of you will have 10 minutes to explain your results and to discuss your project in class. Be prepared!

• Submission and Due Date.

  1. Please submit the following file by email by Tuesday April 26th at 3:00 pm.

     [your-lastname]_proj9_slides.[ext] containing your slides for your oral report. This file should be either a PDF file (ext=pdf) or a PowerPoint file (ext=ppt). Please use only lower case letters in the name file. For instance my file would be named ruiz_proj9_slides.ppt

  2. Please bring a hardcopy of your report to class on April 26th, 2005. This written report is due at 4:00 pm that day.