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Home > Linear Digressions > SMOTE: makin' yourself some fake minority data
Podcast: Linear Digressions
Episode:

SMOTE: makin' yourself some fake minority data
Category: Technology
Duration: 00:14:37
Publish Date: 2016-06-12 22:06:33
Description: Machine learning on imbalanced classes: surprisingly tricky. Many (most?) algorithms tend to just assign the majority class label to all the data and call it a day. SMOTE is an algorithm for manufacturing new minority class examples for yourself, to help your algorithm better identify them in the wild. Relevant links: https://www.jair.org/media/953/live-953-2037-jair.pdf
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