Bayesian Optimization, Machine Learning, AI, Hyperparameter Tuning.
optimal or areas that we haven’t yet looked at, AF assumes a high value. On the contrary, in areas where f(x) is suboptimal or areas that we have already sampled from, AF’s value is small. Example We start by using scikit-learn to generate a binary classification dataset with 2000 samples,