Deployment

As discussed before, MLlib supports model export to Predictive Model Markup Language (PMML). Therefore, we export some developed models to PMML for this project as some other departments of the university are interested in our analytical results and use other systems such as SPSS.

However, for practical purposes, the users of this project are more interested in rule-based decision making to use some of our insights and also in score-based decision making to reduce student attrition.

Specifically, as for this project, the client is interested in applying our results to, firstly, decide which interventions to use for a combination of course adjustments or counseling services with a special student segment, and, secondly, when the university needs to start some interventions as per the student attrition score.

Therefore, we need to turn some of our results into rules and also produce a student attrition risk score for this university.

Rules

All the algorithms either in MLlib or R can...