Tag Archives: SMOTE

Handling Rare Events and Class Imbalance in Predictive Modeling for Machine Failure

Most supervised Machine Learning algorithms face difficulty when there is class imbalance in the training data i.e., amount of data belonging one class heavily outnumber the other class. However, there are may real life problems where we encounter this situation e.g., … Continue reading

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