Charalampos M. Liapis
ABSTRACT
The recent Covid-19 outbreak brought to the fore an updated need for efficient and accurate time-series forecasts. In this direction, the ensembles of learners constitute a credible alternative to individual forecasting methods, both in terms of accuracy and robustness. In this work, a new method of time series forecasting, based on the logic of ensembles and implemented on epidemiological data of Covid-19 taken from countries in South and Central Europe, is presented. The method outperforms both its base learners and a number of widely-used individual algorithms.
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