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

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

SMOTE: makin' yourself some fake minority data

Demystifying AI for the intelligently curious

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SMOTE: makin' yourself some fake minority data

SMOTE: makin' yourself some fake minority data