XGBoost警告这可能不准确

Question

我正在尝试训练XGBoost算法，并收到以下警告：

This may not be accurate due to some parameters are only used in language bindings but
  passed down to XGBoost core.  Or some parameters are not used but slip through this
  verification. Please open an issue if you find above cases.

这是我应该担心的吗

这是我的代码：

df_train = pd.read_csv("FullEugFinal.csv ")
y_train = df_train.loc[:, 'CLASS']
x_train = df_train.loc[:, 'F2ND': 'RMS39']
model = XGBClassifier()
estimators = []
estimators.append(('standardize', StandardScaler()))
estimators.append(('xgb', XGBClassifier(silent=False,
                      n_jobs=1,
                      scale_pos_weight=1,
                      learning_rate=0.009,
                      colsample_bytree = 0.4,
                      subsample = 0.8,
                      objective='binary:logistic',
                      n_estimators=1100,
                      reg_alpha = 0.3,
                      max_depth=4,
                      gamma=0)))
model = Pipeline(estimators)
# define evaluation procedure
kfold = RepeatedStratifiedKFold(n_splits=10,n_repeats=3, random_state=6)
cv_relusts = cross_val_score(model, x_train, y_train, cv=kfold, scoring='accuracy')