Proposed methods

We will use OpenFMRI data collected from the OpenfMRI database of functional MRI data (accession number ds000113d). The initial includes data from n-back, fixation, and retinoic mapping tasks; 
Identify data and tools you will use for your study. Decide what statistical methods you will use to evaluate your results. Think about the key tasks that need to be completed. Break those tasks down into manageable chunks. If you are working as a team, who will complete which tasks? How will you address pitfalls that may arise?

Proposed results

Our data will contain the following tables and figures:
    1.  A bar graph comparing the accuracy of several different machine learning methods
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As described in the expectations and grading criteria, your final written report must include six display objects (figures or tables). In the current document, you should list what each of these display objects will be. What information will be displayed? What will be the key message of the display object? What analysis steps will be required to generate these display objects?
In a few weeks, the Milestone Results assignment will be due. In the current document, please indicate which 2 of your display objects that you will include in your Milestone report.

References

As mentioned above, this document should contain a properly formatted references section at the end.
Grading
Your grade will depend on the quality of the proposed research and the writing content/style of this report. Additional criteria are listed below: