IUM Multivariate Analysis for Predicting Age, Gender, and Race Paper

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IV.
Methodology (1 page or less)
What data mining techniques did you use and why?
V.
Results and Finding (varies considerable in length depending on
study)
Depending on your research question, you would describe how the goals of the
study were accomplished. For instance, if you were building a predictive model to
identify credit card fraud, how does your model go about identifying fraud? What
are the performance characteristics of your model?
In this section you would include tables from your data analysis. But please be
selective! Too many tables detract from the study – use the appendix for this.
VI.
Conclusion
VII. Appendix (Codes)
You can submit your codes either attached to your report or independently.
Additional Information to be submitted:
1. A copy of the peer evaluation form will be available online. Please provide a
fair and accurate assessment of your peers – this information will be used for
assigning grades if available.
2. Datasets are to be submitted online with brief instructions on how to replicate
the results.