I think the key here is to focus on the specific question being asked - which object in the EDA indicates a student's major. Based on the options, I'm leaning towards C. Program Plan Requirement, as that seems the most directly related to a student's primary course of study.
I'm leaning towards the Naive Bayesian classifier for this one. With the skewed class distribution, it might be able to better identify the fraudulent cases and give us a high recall. The linear SVM could also be a good option, but I'm not sure it would perform as well on the unbalanced data.
The Citrix Diagnostic Facility (CDF) control utility seems like a powerful tool for digging into the details of VDA session launch. I'll have to remember that one.
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