Hyperparameter Optimization: Grid vs Random vs Bayesian

You've trained a Random Forest and it works — 85% accuracy out of the box. But you used the default hyperparameters. What if n_estimators=500 with max_features=0.3 and min_samples_leaf=10 pushes that