SMOTE: makin' yourself some fake minority data - a podcast by Ben Jaffe and Katie Malone

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

Further episodes of Linear Digressions

Further podcasts by Ben Jaffe and Katie Malone

Website of Ben Jaffe and Katie Malone