Bi-Weekly Report #3

Bi-weekly Report #3

Team roles for this report (write down name):

Facilitator(s): Suryadyuti Baral

Recorder(s): Jason Kennedy

Deliverer(s): Simeon Kolev, Kenza Slaoui

Planner(s): Tanay Bali

See last page for description of roles. Obviously one person can take more than one role or there can be more than one person per role or make your own roles!

0.    Describe briefly what the main goal of your team is (so the peer reviewer has some context). E.g. we are working on image classification for blah de blah. Our goal is blah de blah etc. In the initial part of the semester before your proposal it is ok to put down “we are still coming up with ideas on team project”.

Our team is working on classifying MRI images of 7023 brain scans from a combination of three different datasets. Our goal is to make a model capable of not only identifying the presence of a tumor, but identifying its type as well. We will do this by using several different types of classification algorithms and choosing the one that works the best for our final model.

I.               What was done during the report period regarding the project: If you want to include code include this in the Appendix. Describe what the group did (including contributions of individual team members) with regards to the group project during this report period. Give enough details so I understand what you folks have been doing over the week. Include dates of your meeting(s) and who met on these days.

Our main accomplishment this week was deciding how to choose a model, divvying up roles, and beginning our tasks. We met up on 3/26 and decided to use several types of classification algorithms on our brain imaging data. We agreed that Suryadyuti would work on KNN, Kenza would work on SVM, Tanay would work on decision forests, Simeon would work on neural networks, and Jason would write the bi-weekly report and interpret the findings. Everybody was present at the meeting, and we determined that we would continue to meet every Sunday from here on out.

II.             What were obstacles faced if any in working on the project? This could be technical (like not being able to implement or understand particular techniques) or time issues (midterms for other courses etc).

Our main obstacle was deciding which dataset to use, because our group was split between two datasets until our last meeting. We also had a lot going on this week. Suryadyuti and Simeon had projects in other classes to finish, and Jason had a family emergency. However, we are still on track to finish on time.

III.            What is the plan for the next reporting period including what each team member is planning to work on. Describe goals and potential timelines (“ I plan to finish understanding x to see if it can be implemented for our project by Wednesday etc”. )

We don’t have particular timelines because some people have more time that others this week. However, we will continue to meet every Sunday and work with the same roles we determined last Sunday. That is, Simeon will work on neural networks, Suryadyuti on KNN, Kenza on SVM, Tanay on decision forests, and Jason on writing and interpreting the findings.