- presentation: clarity - 5 pts - presentation: organization and flow - 10 pts - report: introduction (includes clarity of problem definition and why problem is important) - 5 pts - report: related work - 5 pts - report: explanation and quality of approach (if not a survey) - 10 pts - report: explanation and quality of experimental setup and results (if not a survey) - 10 pts - report: description of what each team member did (if not a survey; amount of work should be roughly equal) - 5 pts - report: description of approaches and experiments (if a survey; should include 20 papers and at least one paragraph for each, as well as introductory/conclusion text and a clear breakdown of the papers) - 25 pts - appropriateness of this project for a machine learning class, i.e. how well it follows the guideliness on the course webpage - 5 pts - score from your classmates - 5 pts TOTAL: 60 pts possible