The document explores the feature space of large collections of time series data, particularly focusing on the M3 forecasting competition. It outlines various candidate features for analysis, including seasonality, trend strength, and spectral entropy, emphasizing their importance in the forecasting process. The analysis aims to improve understanding and accuracy of time series forecasting methodologies by examining different methods and characteristics.
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