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## scorer
from sklearn.metrics import make_scorer
def RMSE(y_true,y_pred):    
    error = y_pred - y_true
    mse = np.mean(error**2)
    return np.sqrt(mse)
def scorer():
    return make_scorer(RMSE, greater_is_better=False)