Исправление предупреждений lgb.LGBMRegressor

Почему выдает что какие то функции не учитываются и предупреждения? как исправить можете показать?

мой код

n_folds = 5

def rmsle_cv(model):
    kf = KFold(n_folds, shuffle = True, random_state = 42).get_n_splits(box_cox_train.values)
    rmse = np.sqrt(-cross_val_score(model, box_cox_train.values, log_y_train, scoring = 
        "neg_mean_squared_error", cv = kf))
    return(rmse)

model_lgb = lgb.LGBMRegressor(objective = 'regression',num_leaves = 5,
                          learning_rate = 0.05, n_estimators = 720,
                          max_bin = 55, bagging_fraction = 0.8,
                          bagging_freq = 5, feature_fraction = 0.2319,
                          feature_fraction_seed = 9, bagging_seed = 9,
                          min_data_in_leaf = 6, min_sum_hessian_in_leaf = 10)

score = rmsle_cv(model_lgb)
print("LGBM score: {:.4f} ({:.4f})\n" .format(score.mean(), score.std()))

и выдает