Ensemble forecasting is a tool in statistics that allows for the prediction of outcomes from collections of data.
It is used to make forecasts for groups or populations and can be categorized as either probabilistic or deterministic methods.
Probabilistic ensemble methods rely on the distribution of data points within a group, while deterministic ensemble methods use an algorithm to combine the predictions of individual models.
Both types of ensembles have their own advantages and disadvantages, but are generally more accurate than single models.
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