Imbalanced Learning

Introduction by Yi:

Since everyone is working with machine learning, the reading group for the next week would be about imbalanced learning.

Required Reading:

Take-home message:

You have to be careful when you generate new data to make sure they follow the original distribution. There is a bias with ROC curves when your data is imbalanced, PR curves are better.

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