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Efficient Hyperparameter Tuning for Large Imbalanced Datasets

The author faces a bottleneck in hyperparameter tuning for machine learning models on a large imbalanced dataset with 4.3 million cells and 512 features. Current methods are time-consuming even with subsampling. There is a need for efficient hyperparameter tuning approaches that can handle large datasets.

Computing & Technology, Computer Science, Machine Learning