求翻译：利用时间序列预测法、马尔可夫预测法和灰色模型预测法得到的预测值的均方根相对误差则分别为2.50%、2.88%和3.52%，均远高于优化组合模型。是什么意思？

Using time series forecasting method, the Markov prediction method and the gray model predictions of the predicted value of the root-mean-square relative error is 2.50%, 2.88% and 3.52%, respectively, are much higher than the combination model.

Using time-series forecasts, Marco, and gray model forecasts predict the value of the forecast now is the root of 2.50 % and 2.88 % and 3.52 % are far higher than optimization models.

Using the time series forecast the law, Markov forecast the law and the pessimistic model forecast the law obtains then the forecast value root-mean-square relative error respectively is 2.50%, 2.88% and 3.52%, far is higher than the optimum composition model.

Using time series forecasting method, Markov prediction method and grey model prediction method for RMS to forecast values are relative error, 2.5% and 3.52% respectively, are much higher than optimum combination models.

正在翻译，请等待...