A randomized-grid hybrid hyperparameter tuner is proposed and claimed to outperform standard grid and random search in both accuracy and training time for CVD classification models.
https://archive.ics.uci.edu/dataset/45/heart+disease
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Time-Efficient Hybrid Hyperparameter Tuning Approach for Cardiovascular Disease Classification
A randomized-grid hybrid hyperparameter tuner is proposed and claimed to outperform standard grid and random search in both accuracy and training time for CVD classification models.