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Can you explain how you address the issue of imbalanced datasets, where one class is heavily overrepresented in binary classification?

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Data Analyst
Marketer
General
ML Knowledge

Discuss both data-level approaches (sampling techniques) and algorithm-level solutions (class weights, specialized metrics).

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Hard Difficulty

Hard questions require advanced understanding and critical thinking. Here, your problem-solving skills are key, as these questions often involve complex scenarios needing in-depth analysis and well-structured responses.

ML Knowledge question

ML Knowledge questions test your theoretical understanding of machine learning concepts. Showcase your grasp of algorithms, model training techniques, feature engineering, and the mathematical foundations of artificial intelligence.

Leaderboard for Addressing Imbalanced Datasets in Classification?”