from skopt import BayesSearchCV
from sklearn.ensemble import RandomForestClassifier

param_space = {
    'n_estimators': (100, 500),
    'max_depth': (10, 50),
    'min_samples_split': (2, 11)
}

bayes_search = BayesSearchCV(estimator=RandomForestClassifier(), search_spaces=param_space, n_iter=32, cv=3, n_jobs=-1, verbose=2)
bayes_search.fit(X_train, y_train)

print("Best Hyperparameters:", bayes_search.best_params_)

        __
        __