Bayesian Optimization, Machine Learning, AI, Hyperparameter Tuning.
the number of iterations needed to converge to the optimal values. This requires an approach that minimizes reliance on random sampling, aiming to start the optimization process closer to the most promising hyperparameter values. This initial challenge is that starting points can significantly