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Monday, June 27 • 9:00am - 10:15am
Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 1)

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This tutorial will provide an overview of using R to create effective predictive models in cases where at least one class has a low event frequency. These types of problems are often found in applications such as: click through rate prediction, disease prediction, chemical quantitative structure - activity modeling, network intrusion detection, and quantitative marketing. The session will step through the process of building, optimizing, testing, and comparing models that are focused on prediction. A case study is used to illustrate functionality.

For details, refer to tutorial description.

Speakers
avatar for Max Kuhn

Max Kuhn

Pfizer


Monday June 27, 2016 9:00am - 10:15am
Econ 140 579 Serra Mall, Stanford, CA 94305

Attendees (67)