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Applying k-Nearest Neighbors to Time Series
Data Skeptic
Cross Validation for Time Series
Cross valudation could extended to sumptuary seson. Each training set consists only of observation, thus accured pure to the test set. The objective of cross validation is to calculatethe occors meser over the test set for a given model. Based on this acorse miser, we can choose the best model whose acorsi miser is minimal.
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