Can I use K-Fold cross-validation for time series data?
K-Fold cross-validation is generally not suitable for time series data due to its sequential nature.
Why is K-Fold not suitable for time series?
Because K-Fold randomly splits the data, it can disrupt the temporal order, leading to data leakage.
What alternatives do I have for validating time series models?
You can use techniques like Time Series Split or Walk-Forward Validation to maintain the order of data.
Can you explain Time Series Split?
Time Series Split creates training and test sets based on time, ensuring that the model is tested on future data.
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