Imbalanced Data Set is a problem existing in Machine Learning classification, when data get imbalanced between different classes, especially in real-word applications such as Clinical Analysis, Weather Prediction, etc.
This repository is for code version control of my graduate design, which aims to explore how different algorithms\ideas can be applied to the datasets of different application background.
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A lab for Imbalanced Data Learning, which is my bachelor's graduate design topic.
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