Reflections on Random Forests
- đ¤ Speaker: Richard Dybowski, Dept. Vet. Med.
- đ Date & Time: Monday 22 October 2012, 11:30 - 12:30
- đ Venue: CC43, Cripps Court, Queens' College
Abstract
A random forest (RF) is a classifier consisting of a large ensemble of classification trees induced from data. RF induction is one of the most accurate machine-learning algorithms available. I will describe how RF-based classification was used for the prediction of Candida infection in intensive care patients, as well as some of the pros and cons of using RFs.
Series This talk is part of the Worms and Bugs series.
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Richard Dybowski, Dept. Vet. Med.
Monday 22 October 2012, 11:30-12:30