About the Webinar
The challenges of predictive modeling are not all technical ones. With software and support, the time-to-completion and the statistical certainty are easier than ever to optimize. For some, this introduces a scenario where accuracy and validity exceed contextual confidence in the model. Paired with an increasing focus on the role that predictive scores play in day-to-day operations, embracing (not avoiding!) questions from stakeholders about your modeling efforts is critical.
Fortunately, Predict offers a lot of easy pathways towards answers that are front-of-mind for users and stakeholders alike. In this Deep Dive webinar, look forward to hearing about the ways that Predict can support answers to pressing questions of modeling practice.
Consider these samples, and put us to the test by submitting your own!
– “How did you choose the variables in the model?”
– “Did you consider {variable name}?”
– “How do you know {variable name} isn’t related (or, that it is related?)”
– “Are you omitting restricted characteristics?”
Event Materials
Experts
James Cousins
Associate Director, Product Analyst
Areas of Expertise: Communication, Enrollment Analytics, Student Retention, and Success
Wesley Pendarvis
Senior Director, Partner Success
Areas of Expertise: Efficiency and Analytics, and Project Management