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Recently, I am experimenting with the boosted arima function, which gives good results, compared to classical arima approaches. Nevertheless, I need to exclude this function from my model framework, as I do not exactly know, how the combination of both algorithms works.
How does the improvement take place? The source code implies a combination of arima predictions with xgboost predictions.
The text was updated successfully, but these errors were encountered:
Recently, I am experimenting with the boosted arima function, which gives good results, compared to classical arima approaches. Nevertheless, I need to exclude this function from my model framework, as I do not exactly know, how the combination of both algorithms works.
How does the improvement take place? The source code implies a combination of arima predictions with xgboost predictions.
The text was updated successfully, but these errors were encountered: