Make ML Models Work: A Real-World Take on Size and Imbalance
SMRTR summary
A product categorization system faced challenges with large model size and class imbalance. Through data cleaning, feature engineering, and model optimization, the team reduced model size while maintaining accuracy. Key solutions included removing infrequent classes, combining text fields, and using TF-IDF with limited vocabulary.
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