What Challenges are Faced in Time Series Cross Validation?
One of the main challenges is the potential for data leakage, where future information inadvertently influences the training process. This can lead to overly optimistic performance metrics. Additionally, non-stationarity in the data, where statistical properties change over time, can complicate model evaluation. Ensuring that the model remains robust under these varying conditions is crucial for its application in nanotechnology.
