Artificial Intelligence, Machine Learning, Random Forest, Finance, Trading.
False], } rf = RandomForestRegressor(random_state=42) grid_search = GridSearchCV( estimator=rf, param_grid=param_grid, cv=5, n_jobs=-1, verbose=2 ) grid_search.fit(X_train, y_train) print(f"Best parameters: {grid_search.best_params_}") best_rf = grid_search.best_estimator_ best_rf.fit(X_train,