Time-Efficient Hybrid Hyperparameter Tuning Approach for Cardiovascular Disease Classification

In three linesPaper proposes hybrid hyperparameter tuning method (random grid search) for cardiovascular disease classification. Combines global exploration (random search) with focused exhaustive search (grid search). Experimental results show reduced training time and improved performance versus traditional tuning methods.

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