Hi @pmezentsev,

You can build paramgrid with different vallues of parameters and then you'll get best params using GridSearchCV

param_grid = { 'n_estimators': [200, 500, 700], 'max_features': ['auto', 'sqrt', 'log2'] } ,

CV_rfc = GridSearchCV(estimator=rfc, param_grid=param_grid, cv= 5)