Noisecut: a python package for noise-tolerant classification of binary data using prior knowledge integration and max-cut solutions

Background Classification of binary data arises naturally in many clinical applications, such as patient risk stratification through ICD codes. One of the key practical challenges in data classification using machine learning is to avoid overfitting. Overfitting in supervised learning primarily occu...

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