Bayesian Optimization, Machine Learning, AI, Hyperparameter Tuning.
function and keeps updating as new data points are evaluated. This model provides a measure of uncertainty or confidence in the predictions at unexplored points in the parameter space. The acquisition function uses the surrogate model’s predictions to decide which point in the parameter space