Hello Buddy, I am Rekha. I worked at Piping Project is one of the most well-known Steel Plate Manufacturer in Europe.I'm encountering issues with imbalanced datasets while working on a classification problem in healthcare. The majority class dominates the dataset, and my model seems biased. What strategies or techniques do you recommend for handling imbalanced datasets in the context of medical diagnoses? Are there specific algorithms or preprocessing methods that work well in such scenarios
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Piping Projects
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