New answers tagged cross-validation
2
votes
Establishing the minimum required training set size, when cross validating time series data
The problem with this question is that the idea that the data hold information to pick $k$ "optimally" is wrong. There is no such thing as a "true $k$" that could be estimated from ...
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3
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How can I evaluate a time‑series forecasting model when I must train on the entire small dataset?
I concur with whuber's comment: having little data does not nullify accepted best practices about time series analysis and forecasting.
Simply go ahead and do your 80-20 split, using the first 40 ...
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