iam working on long memory time series data and i use lstm neural networ to train data and i want to understand how rmse is calculated is it calculated in each iteration separately or in each iteration rmse calculated to all time series
Step 1:
Calculate your models' RMSE for each series
Step 2:
Compare and contrast the models separately for each model
Step 3:
Which one's RMSE is lower more often
Explore the theoretical that relate to empirical ones
You need to re-calculate out-of-sample forecasts produced from different origins. Step-by-step instructions can be found in this work:
Conference Paper Data Formats and Visual Tools for Forecast Evaluation in Cyb...
More on error metrics:
Chapter Forecast Error Measures: Critical Review and Practical Recommendations
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