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STATS-DC July 2014 Knowles EWStools Presentation.html (819.57 kB)

An Early Warning System for You: Wisconsin’s Open Source Predictive Analytic Approach

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posted on 2014-10-21, 01:15 authored by Jared KnowlesJared Knowles

In the past two years, Wisconsin has deployed a Dropout Early Warning System (DEWS) for all
students in grades 6–9 in the state. During this time, the agency has committed to open sourcing
the core components of this system to share with others. The Wisconsin DEWS toolset can be
adopted to solve various problems, including those related to predicting assessment scores,
college-going, or high school completion. Built on the cutting edge predictive analytics within the
R programming language, these tools will help you make better predictions and easily understand
the accuracy of the resulting models. This presentations will provide an overview of the tools.

 

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