A python class for making machine learning algorithms cost sensitive.
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Updated
Apr 20, 2021
A python class for making machine learning algorithms cost sensitive.
Most existing classification approaches assume the underlying training set is evenly distributed but many real-world classification problems have an imbalanced class distribution, such as rare disease identification, fraud detection, spam detection, churn prediction, electricity theft & pilferage etc.
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