SMOTE: makin' yourself some fake minority data
Media Type |
audio
Categories Via RSS |
Technology
Publication Date |
Jun 13, 2016
Episode Duration |
00:14:37
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: 953-2037-jair.pdf">https://www.jair.org/media/953/live-953-2037-jair.pdf

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