Bayesian Optimization, Machine Learning, AI, Hyperparameter Tuning.
regression analyses as well.) We then split our dataset, reserving 20% for testing purposes while the rest is used for training our model. The next step involves optimizing the hyperparameters of a random forest model to improve its accuracy. To achieve this, we define an objective function that